Publication Metrics
as at 13th July 2020 (Web of Science, APSIM as topic, all databases, 1994 to now)
APSIM citation:
Holzworth, Dean P., Neil I. Huth, Peter G. deVoil, Eric J. Zurcher, Neville I. Herrmann, Greg McLean, Karine Chenu, et al. “APSIM – Evolution towards a New Generation of Agricultural Systems Simulation.” Environmental Modelling & Software 62 (December 2014): 327–50. https://doi.org/10.1016/j.envsoft.2014.07.009.
APSIM Next Generation citation:
Holzworth, Dean, N. I. Huth, J. Fainges, H. Brown, E. Zurcher, R. Cichota, S. Verrall, N. I. Herrmann, B. Zheng, and V. Snow. “APSIM Next Generation: Overcoming Challenges in Modernising a Farming Systems Model.” Environmental Modelling & Software 103 (May 1, 2018): 43–51. https://doi.org/10.1016/j.envsoft.2018.02.002.
2021
Afshar, Mehdi H., Timothy Foster, Thomas P. Higginbottom, Ben Parkes, Koen Hufkens, Sanjay Mansabdar, Francisco Ceballos, and Berber Kramer. ‘Improving the Performance of Index Insurance Using Crop Models and Phenological Monitoring’. Remote Sensing 13, no. 5 (March 2021): 924. https://doi.org/10.3390/rs13050924.
Akhavizadegan, Faezeh, Javad Ansarifar, Lizhi Wang, Isaiah Huber, and Sotirios Archontoulis. ‘A Time-Dependent Parameter Estimation Framework for Crop Modeling’. Scientific Reports 11, no. 1 (1 June 2021): 11437. https://doi.org/10.1038/s41598-021-90835-x.
Arshad, Adnan, Muhammad Ali Raza, Yue Zhang, Lizhen Zhang, Xuejiao Wang, Mukhtar Ahmed, and Muhammad Habib-ur-Rehman. ‘Impact of Climate Warming on Cotton Growth and Yields in China and Pakistan: A Regional Perspective’. Agriculture-Basel 11, no. 2 (February 2021): 97. https://doi.org/10.3390/agriculture11020097.
Beah, Aloysius, Alpha Y. Kamara, Jibrin M. Jibrin, Folorunso M. Akinseye, Abdullahi I. Tofa, and Adam M. Adam. ‘Simulating the Response of Drought-Tolerant Maize Varieties to Nitrogen Application in Contrasting Environments in the Nigeria Savannas Using the APSIM Model’. Agronomy-Basel 11, no. 1 (January 2021): 76. https://doi.org/10.3390/agronomy11010076.
Beah, Aloysius, Alpha Yaya Kamara, Jibrin Mohamed Jibrin, Folorunso Mathew Akinseye, Abdullahi Ibrahim Tofa, and Temitope Damian Ademulegun. ‘Simulation of the Optimum Planting Windows for Early and Intermediate-Maturing Maize Varieties in the Nigerian Savannas Using the APSIM Model’. Frontiers in Sustainable Food Systems 5 (22 March 2021): 624886. https://doi.org/10.3389/fsufs.2021.624886.
Bell, L. W., A. D. Moore, and D. T. Thomas. ‘Diversified Crop-Livestock Farms Are Risk-Efficient in the Face of Price and Production Variability’. Agricultural Systems 189 (April 2021): 103050. https://doi.org/10.1016/j.agsy.2021.103050.
Berghuijs, Herman N. C., Martin Weih, Wopke van der Werf, Alison J. Karley, Eveline Adam, Angel M. Villegas-Fernandez, Lars P. Kiaer, et al. ‘Calibrating and Testing APSIM for Wheat-Faba Bean Pure Cultures and Intercrops across Europe’. Field Crops Research 264 (1 May 2021): 108088. https://doi.org/10.1016/j.fcr.2021.108088.
Biggs, J. S., Y. Everingham, D. M. Skocaj, B. L. Schroeder, J. Sexton, and P. J. Thorburn. ‘The Potential for Refining Nitrogen Fertiliser Management through Accounting for Climate Impacts: An Exploratory Study for the Tully Region.’ Marine Pollution Bulletin 170 (June 2021): 112664–112664. https://doi.org/10.1016/j.marpolbul.2021.112664.
Bilotto, Franco, Matthew Tom Harrison, Massimiliano De Antoni Migliorati, Karen M. Christie, David W. Rowlings, Peter R. Grace, Andrew P. Smith, Richard P. Rawnsley, Peter J. Thorburn, and Richard J. Eckard. ‘Can Seasonal Soil N Mineralisation Trends Be Leveraged to Enhance Pasture Growth?’ Science of the Total Environment 772 (10 June 2021): 145031. https://doi.org/10.1016/j.scitotenv.2021.145031.
Biswas, A., D. R. Mailapalli, and N. S. Raghuwanshi. ‘APSIM-Oryza Model for Simulating Paddy Consumptive Water Footprints under Alternate Wetting and Drying Practice for Kharagpur, West Bengal, India’. Paddy and Water Environment 19, no. 3 (July 2021): 481–98. https://doi.org/10.1007/s10333-021-00849-4.
Biswas, Amit, Damodhara R. Mailapalli, and Narendra S. Raghuwanshi. ‘Modelling the Effect of Changing Transplanting Date on Consumptive Water Footprints for Paddy under the System of Rice Intensification’. Journal of the Science of Food and Agriculture, 2021. https://doi.org/10.1002/jsfa.11186.
Boldt, Matthias, Friedhelm Taube, Iris Vogeler, Thorsten Reinsch, Christof Kluss, and Ralf Loges. ‘Evaluating Different Catch Crop Strategies for Closing the Nitrogen Cycle in Cropping Systems-Field Experiments and Modelling’. Sustainability 13, no. 1 (January 2021): 394. https://doi.org/10.3390/su13010394.
Campolo, Jake, David Guerena, Shashish Maharjan, and David B. Lobell. ‘Evaluation of Soil-Dependent Crop Yield Outcomes in Nepal Using Ground and Satellite-Based Approaches’. Field Crops Research 260 (1 January 2021): 107987. https://doi.org/10.1016/j.fcr.2020.107987.
Chemura, Abel, Amsalu Woldie Yalew, and Christoph Gornott. ‘Data_Sheet_1_Quantifying Agroforestry Yield Buffering Potential Under Climate Change in the Smallholder Maize Farming Systems of Ethiopia.Docx’. Figshare, 02 2021. http://dx.doi.org/10.3389/fagro.2021.609536.s001.
Collins, Brian, and Karine Chenu. ‘Improving Productivity of Australian Wheat by Adapting Sowing Date and Genotype Phenology to Future Climate’. Climate Risk Management 32 (2021): 100300. https://doi.org/10.1016/j.crm.2021.100300.
De Silva, S. H. N. P., Taro Takahashi, and Kensuke Okada. ‘Evaluation of APSIM-Wheat to Simulate the Response of Yield and Grain Protein Content to Nitrogen Application on an Andosol in Japan’. Plant Production Science, 2021. https://doi.org/10.1080/1343943X.2021.1883989.
De Silva, SHNP, Taro Takahashi, and Kensuke Okada. ‘Evaluation of APSIM-Wheat to Simulate the Response of Yield and Grain Protein Content to Nitrogen Application on an Andosol in Japan’. Figshare, 01 2021. http://dx.doi.org/10.6084/m9.figshare.13685787.v2.
Dias, Henrique Boriolo, and Paulo Cesar Sentelhas. ‘Assessing the Performance of Two Gridded Weather Data for Sugarcane Crop Simulations with a Process-Based Model in Center-South Brazil’. International Journal of Biometeorology, 2021. https://doi.org/10.1007/s00484-021-02145-6.
Diego Hernan, Rotili, Abeledo L. Gabriela, Peter deVoil, Rodriguez Daniel, and Maddonni Gustavo Angel. ‘Exploring the Effect of Tillers on the Water Economy, Plant Growth and Kernel Set of Low-Density Maize Crops’. Agricultural Water Management 243 (1 January 2021): 106424. https://doi.org/10.1016/j.agwat.2020.106424.
Feleke, Hirut Getachew, M. J. Savage, and Kindie Tesfaye. ‘Calibration and Validation of APSIM-Maize, DSSAT CERES-Maize and AquaCrop Models for Ethiopian Tropical Environments’. South African Journal of Plant and Soil 38, no. 1 (1 January 2021): 36–51. https://doi.org/10.1080/02571862.2020.1837271.
Gaydon, D. S., A. M. Radanielson, A. K. Chaki, M. M. R. Sarker, M. A. Rahman, M. H. Rashid, Md J. Kabir, A. S. M. M. R. Khan, E. R. Gaydon, and C. H. Roth. ‘Options for Increasing Boro Rice Production in the Saline Coastal Zone of Bangladesh’. Field Crops Research 264 (1 May 2021): 108089. https://doi.org/10.1016/j.fcr.2021.108089.
Gaydon, Donald S., Tasneem Khaliq, Mobin-ud-Din Ahmad, M. J. M. Cheema, and Umair Gull. ‘Tweaking Pakistani Punjab Rice-Wheat Management to Maximize Productivity within Nitrate Leaching Limits’. Field Crops Research 260 (1 January 2021): 107964. https://doi.org/10.1016/j.fcr.2020.107964.
Gladish, Daniel W., Di He, and Enli Wang. ‘Pattern Analysis of Australia Soil Profiles for Plant Available Water Capacity’. Geoderma 391 (1 June 2021): 114977. https://doi.org/10.1016/j.geoderma.2021.114977.
Hussein, Mahmood A., Diogenes L. Antille, Shreevatsa Kodur, Guangnan Chen, and Jeff N. Tullberg. ‘Controlled Traffic Farming Delivers Improved Agronomic Performance of Wheat as a Result of Enhanced Rainfall and Fertiliser Nitrogen Use Efficiency’. Acta Agriculturae Scandinavica Section B-Soil and Plant Science 71, no. 5 (4 July 2021): 377–98. https://doi.org/10.1080/09064710.2021.1903984.
Jones, M. R., A. Singels, S. Chinorumba, C. Poser, M. Christina, J. Shine, J. Annandale, and G. L. Hammer. ‘Evaluating Process-Based Sugarcane Models for Simulating Genotypic and Environmental Effects Observed in an International Dataset’. Field Crops Research 260 (1 January 2021): 107983. https://doi.org/10.1016/j.fcr.2020.107983.
Khaembah, Edith N., Rogerio Cichota, and Iris Vogeler. ‘Simulation of Management Strategies to Mitigate Nitrogen Losses from Crop Rotations in Southland, New Zealand’. Journal of the Science of Food and Agriculture 101, no. 10 (15 August 2021): 4241–49. https://doi.org/10.1002/jsfa.11063.
Kumar, Uttam, Julien Morel, Goran Bergkvist, Taru Palosuo, Anne-Maj Gustavsson, Allan Peake, Hamish Brown, Mukhtar Ahmed, and David Parsons. ‘Comparative Analysis of Phenology Algorithms of the Spring Barley Model in APSIM 7.9 and APSIM Next Generation: A Case Study for High Latitudes’. Plants-Basel 10, no. 3 (March 2021): 443. https://doi.org/10.3390/plants10030443.
Li, Yang, Jing Wang, Jianzhao Tang, Enli Wang, Zhihua Pan, Xuebiao Pan, and Qi Hu. ‘Optimum Planting Date and Cultivar Maturity to Optimize Potato Yield and Yield Stability in North China’. Field Crops Research 269 (15 July 2021): 108179. https://doi.org/10.1016/j.fcr.2021.108179.
Lu, Yang, Enli Wang, Zhigan Zhao, Xiuwei Liu, Ailing Tian, and Xiying Zhang. ‘Optimizing Irrigation to Reduce N Leaching and Maintain High Crop Productivity through the Manipulation of Soil Water Storage under Summer Monsoon Climate’. Field Crops Research 265 (15 May 2021): 108110. https://doi.org/10.1016/j.fcr.2021.108110.
Lungu, O. N., L. M. Chabala, and C. Shepande. ‘Satellite-Based Crop Monitoring and Yield Estimation-A Review.’ Journal of Agricultural Science (Toronto) 13, no. 1 (2021): 180–94. https://doi.org/10.5539/jas.v13n1p180.
Mandrini, G., D. S. Bullock, and N. F. Martin. ‘Modeling the Economic and Environmental Effects of Corn Nitrogen Management Strategies in Illinois.’ Field Crops Research 261 (2021). https://doi.org/10.1016/j.fcr.2020.108000.
Mandrini, German, David S. Bullock, and Nicolas F. Martin. ‘Modeling the Economic and Environmental Effects of Corn Nitrogen Management Strategies in Illinois’. Field Crops Research 261 (1 February 2021): 108000. https://doi.org/10.1016/j.fer.2020.108000.
Masikati, Patricia, Givious Sisito, Floyd Chipatela, Howard Tembo, and Leigh Ann Winowiecki. ‘Agriculture Extensification and Associated Socio-Ecological Trade-Offs in Smallholder Farming Systems of Zambia’. International Journal of Agricultural Sustainability, 2021. https://doi.org/10.1080/14735903.2021.1907108.
Meier, Elizabeth A., James R. Hunt, and Zvi Hochman. ‘Evaluation of Nitrogen Bank, a Soil Nitrogen Management Strategy for Sustainably Closing Wheat Yield Gaps’. Field Crops Research 261 (1 February 2021): 108017. https://doi.org/10.1016/j.fcr.2020.108017.
Miguez, Fernando. ‘Apsimx: Inspect, Read, Edit and Run “APSIM” “Next Generation” and “APSIM” Classic’. Comprehensive R Archive Network, 10 2021.
Morel, Julien, Uttam Kumar, Mukhtar Ahmed, Goran Bergkvist, Marcos Lana, Magnus Halling, and David Parsons. ‘Data_Sheet_1_Quantification of the Impact of Temperature, CO2, and Rainfall Changes on Swedish Annual Crops Production Using the APSIM Model.ZIP’. Figshare, 02 2021. http://dx.doi.org/10.3389/fsufs.2021.665025.s001.
———. ‘Quantification of the Impact of Temperature, CO2, and Rainfall Changes on Swedish Annual Crops Production Using the APSIM Mode’. Frontiers in Sustainable Food Systems 5 (28 May 2021): 665025. https://doi.org/10.3389/fsufs.2021.665025.
Mwambo, Francis Molua, Christine Fuerst, Christopher Martius, Marcos Jimenez-Martinez, Benjamin Kofi Nyarko, and Christian Borgemeister. ‘Combined Application of the EM-DEA and EX-ACT Approaches for Integrated Assessment of Resource Use Efficiency, Sustainability and Carbon Footprint of Smallholder Maize Production Practices in Sub-Saharan Africa’. Journal of Cleaner Production 302 (15 June 2021): 126132. https://doi.org/10.1016/j.jclepro.2021.126132.
Nan, Zhe, Xiaoyan Wang, Yi Du, Charles S. Melching, and Xueshen Shang. ‘Critical Period and Pathways of Water Borne Nitrogen Loss from a Rice Paddy in Northeast China’. Science of the Total Environment 753 (20 January 2021): 142116. https://doi.org/10.1016/j.scitotenv.2020.142116.
Nasrollahi, Niloufar, James Hunt, Caixian Tang, and David Cann. ‘Modelled Quantification of Different Sources of Nitrogen Inefficiency in Semi-Arid Cropping Systems’. Agronomy-Basel 11, no. 6 (June 2021): 1222. https://doi.org/10.3390/agronomy11061222.
Noriega-Navarrete, J. L., R. Salazar-Moreno, and I. L. Lopez-Cruz. ‘Review: Corn Growth and Yield Models under Climate Change Scenarios.’ Revista Mexicana de Ciencias Agricolas 12, no. 1 (2021): 127–40. https://doi.org/10.29312/remexca.v12i1.2552.
Ojeda, Jonathan J., Ehsan Eyshi Rezaei, Tomas A. Remenyi, Heidi A. Webber, Stefan Siebert, Holger Meinke, Mathew A. Webb, et al. ‘Implications of Data Aggregation Method on Crop Model Outputs-The Case of Irrigated Potato Systems in Tasmania, Australia’. European Journal of Agronomy 126 (May 2021): 126276. https://doi.org/10.1016/j.eja.2021.126276.
Palosuo, Taru, Munir P. Hoffmann, Reimund P. Roetter, and Heikki S. Lehtonen. ‘Sustainable Intensification of Crop Production under Alternative Future Changes in Climate and Technology: The Case of the North Savo Region’. Agricultural Systems 190 (May 2021): 103135. https://doi.org/10.1016/j.agsy.2021.103135.
Pasley, Heather, Virginia Nichols, Michael Castellano, Mitchell Baum, Eileen Kladivko, Matthew Helmers, and Sotirios Archontoulis. ‘Rotating Maize Reduces the Risk and Rate of Nitrate Leaching’. Environmental Research Letters 16, no. 6 (June 2021): 064063. https://doi.org/10.1088/1748-9326/abef8f.
Rahimi-Moghaddam, Sajjad, Hamed Eyni-Nargeseh, Seyed Ahmad Kalantar Ahmadi, and Khosro Azizi. ‘Towards Withholding Irrigation Regimes and Drought-Resistant Genotypes as Strategies to Increase Canola Production in Drought-Prone Environments: A Modeling Approach’. Agricultural Water Management 243 (1 January 2021): 106487. https://doi.org/10.1016/j.agwat.2020.106487.
Raza, Ahsan, Hella Ahrends, Muhammad Habib-Ur-Rahman, and Thomas Gaiser. ‘Modeling Approaches to Assess Soil Erosion by Water at the Field Scale with Special Emphasis on Heterogeneity of Soils and Crops’. Land 10, no. 4 (April 2021): 422. https://doi.org/10.3390/land10040422.
Roberton, S. D., C. R. Lobsey, and J. McL Bennett. ‘A Bayesian Approach toward the Use of Qualitative Information to Inform On-Farm Decision Making: The Example of Soil Compaction’. Geoderma 382 (15 January 2021): 114705. https://doi.org/10.1016/j.geoderma.2020.114705.
Shahhosseini, Mohsen, Guiping Hu, Isaiah Huber, and Sotirios V. Archontoulis. ‘Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt’. Scientific Reports 11, no. 1 (15 January 2021): 1606. https://doi.org/10.1038/s41598-020-80820-1.
Shukr, Hanan H., Keith G. Pembleton, Andrew F. Zull, and Geoff J. Cockfield. ‘Impacts of Effects of Deficit Irrigation Strategy on Water Use Efficiency and Yield in Cotton under Different Irrigation Systems’. Agronomy-Basel 11, no. 2 (February 2021): 231. https://doi.org/10.3390/agronomy11020231.
Singh, Ajit Pratap, and Kunal Dhadse. ‘Economic Evaluation of Crop Production in the Ganges Region under Climate Change: A Sustainable Policy Framework’. Journal of Cleaner Production 278 (1 January 2021): 123413. https://doi.org/10.1016/j.jclepro.2020.123413.
Tahir, N., J. Li, Y. Ma, A. Ullah, and H. Liu. ‘A 20-YEAR LONG TERM STUDY OF YIELD SUSTAINABILITY AND SOIL FERTILITY AFFECTED BY FERTILIZATION AND APSIM CLIMATIC CHANGE MODEL OF URUMQI, XINJIANG, CHINA’. Applied Ecology and Environmental Research 19, no. 3 (2021): 1827–55. https://doi.org/10.15666/aeer/1903_18271855.
Tang, Jianzhao, Dengpan Xiao, Jing Wang, Quanxiao Fang, Jun Zhang, and Huizi Bai. ‘Optimizing Water and Nitrogen Managements for Potato Production in the Agro-Pastoral Ecotone in North China’. Agricultural Water Management 253 (1 July 2021): 106945. https://doi.org/10.1016/j.agwat.2021.106945.
Teixeira, Edmar, Kurt Christian Kersebaum, Anne-Gaelle Ausseil, Rogerio Cichota, Jing Guo, Paul Johnstone, Michael George, et al. ‘Understanding Spatial and Temporal Variability of N Leaching Reduction by Winter Cover Crops under Climate Change’. Science of the Total Environment 771 (1 June 2021): 144770. https://doi.org/10.1016/j.scitotenv.2020.144770.
Vogel, Johannes, Pauline Rivoire, Cristina Deidda, Leila Rahimi, Christoph A. Sauter, Elisabeth Tschumi, Karin van der Wiel, Tianyi Zhang, and Jakob Zscheischler. ‘Identifying Meteorological Drivers of Extreme Impacts: An Application to Simulated Crop Yields’. Earth System Dynamics 12, no. 1 (10 February 2021): 151–72. https://doi.org/10.5194/esd-12-151-2021.
Zheng-e, Su, Liu Zhi-juan, Bai Fan, Zhang Zhen-tao, Sun Shuang, Huang Qiu-wan, Liu Tao, Liu Xiao-qing, and Yang Xiao-guang. ‘Cultivar Selection Can Increase Yield Potential and Resource Use Efficiency of Spring Maize to Adapt to Climate Change in Northeast’. Journal of Integrative Agriculture 20, no. 2 (February 2021): 371–82. https://doi.org/10.1016/S2095-3119(20)63359-7.
Zhi-gang, Nie, Li Guang, Wang Jun, Dong Li-xia, Luo Cui-ping, and Mi Rong-juan. ‘Evaluating the Effects of Different Sowing Dates and Tillage Methods on Dry-Land Wheat Grain Dry Matter Accumulation Based on the APSIM Model’. Yingyong Shengtai Xuebao 32, no. 3 (March 2021): 913–20. https://doi.org/10.13287/j.1001-9332.202103.022.
2020
Ababaei, Behnam, and Karine Chenu. ‘Heat Shocks Increasingly Impede Grain Filling but Have Little Effect on Grain Setting across the Australian Wheatbelt’. Agricultural and Forest Meteorology 284 (15 April 2020): 107889. https://doi.org/10.1016/j.agrformet.2019.107889.
Adam, Myriam, Dilys Sefakor MacCarthy, Pierre C. Sibiry Traore, Andree Nenkam, Bright Salah Freduah, Mouhamed Ly, and Samuel G. K. Adiku. ‘Which Is More Important to Sorghum Production Systems in the Sudano-Sahelian Zone of West Africa: Climate Change or Improved Management Practices?’ Agricultural Systems 185 (November 2020): 102920. https://doi.org/10.1016/j.agsy.2020.102920.
Akinseye, Folorunso M., Hakeem A. Ajegbe, Alpha Y. Kamara, Elijah A. Adefisan, and Anthony M. Whitbread. ‘Understanding the Response of Sorghum Cultivars to Nitrogen Applications in the Semi-Arid Nigeria Using the Agricultural Production Systems Simulator’. Journal of Plant Nutrition 43, no. 6 (2 April 2020): 834–50. https://doi.org/10.1080/01904167.2020.1711943.
Akinseye, Folorunso M., Hakeem A. Ajeigbe, Pierre C. S. Traore, Samuel O. Agele, Birhanu Zemadim, and Anthony Whitbread. ‘Improving Sorghum Productivity under Changing Climatic Conditions: A Modelling Approach’. Field Crops Research 246 (1 February 2020): 107685. https://doi.org/10.1016/j.fcr.2019.107685.
Ali, Marwa Gamal Mohamed, Mahmoud Mohamed Ibrahim, Ahmed El Baroudy, Michael Fullen, El-Said Hamad Omar, Zheli Ding, and Ahmed Mohammed Saad Kheir. ‘Climate Change Impact and Adaptation on Wheat Yield, Water Use and Water Use Efficiency at North Nile Delta’. Frontiers of Earth Science 14, no. 3 (September 2020): 522–36. https://doi.org/10.1007/s11707-019-0806-4.
Anonymous. ‘APSIM Classic’. CSIRO Data Access Portal, 2020. http://dx.doi.org/10.25919/5efad2717d9bf
Anser, Muhammad Khalid, Tayyaba Hina, Shahzad Hameed, Muhammad Hamid Nasir, Ishfaq Ahmad, and Muhammad Asad ur Rehman Naseer. ‘Modeling Adaptation Strategies against Climate Change Impacts in Integrated Rice-Wheat Agricultural Production System of Pakistan’. International Journal of Environmental Research and Public Health 17, no. 7 (April 2020): 2522. https://doi.org/10.3390/ijerph17072522.
Anwar, Muhuddin Rajin, Bin Wang, De Li Liu, and Cathy Waters. ‘Late Planting Has Great Potential to Mitigate the Effects of Future Climate Change on Australian Rain-Fed Cotton’. Science of the Total Environment 714 (20 April 2020): 136806. https://doi.org/10.1016/j.scitotenv.2020.136806.
Araya, A., P. V. V. Prasad, P. H. Gowda, M. Djanaguiraman, and A. H. Kassa. ‘Potential Impacts of Climate Change Factors and Agronomic Adaptation Strategies on Wheat Yields in Central Highlands of Ethiopia’. Climatic Change 159, no. 3 (April 2020): 461–79. https://doi.org/10.1007/s10584-019-02627-y.
Archontoulis, Sotirios, Michael J. Castellano, Mark A. Licht, Virginia Nichols, Mitch Baum, Isaiah Huber, Rafael Martinez-Feria, et al. ‘Predicting Crop Yields and Soil-Plant Nitrogen Dynamics in the US Corn Belt’. Crop Science 60, no. 2 (April 2020): 721–38. https://doi.org/10.1002/csc2.20039.
Awais, Muhammad, Muhammad Anwar-Ul-Haq, Muhammad Mubeen, Javaid Akhtar, and S. A. Wajid. ‘Adaptation Strategies for Sunflower Production under Climate Change for Arid Environment by Using CROPGRO and APSIM-Sunflower Models.’ Pakistan Journal of Agricultural Sciences 57, no. 6 (2020): 1529–38. https://doi.org/10.21162/PAKJAS/20.515.
Awais, Muhammad, Muhammad Anwar-ul-Haq, Muhammad Mubeen, Javaid Akhtar, and Syed Aftab Wajid. ‘ADAPTATION STRATEGIES FOR SUNFLOWER PRODUCTION UNDER CLIMATE CHANGE FOR ARID ENVIRONMENT BY USING CROPGRO AND APSIM-SUNFLOWER MODELS’. Pakistan Journal of Agricultural Sciences 57, no. 6 (November 2020): 1529–38. https://doi.org/10.21162/PAKJAS/20.515.
Badgery, Warwick B., James M. Mwendwa, Muhuddin Rajin Anwar, Aaron T. Simmons, Kim M. Broadfoot, Maheswaran Rohan, and Bhupinder Pal Singh. ‘Unexpected Increases in Soil Carbon Eventually Fell in Low Rainfall Farming Systems’. Journal of Environmental Management 261 (1 May 2020): 110192. https://doi.org/10.1016/j.jenvman.2020.110192.
Bai, Huiqing, Jing Wang, Quanxiao Fang, and Binxiang Huang. ‘Does a Trade-off between Yield and Efficiency Reduce Water and Nitrogen Inputs of Winter Wheat in the North China Plain?’ Agricultural Water Management 233 (30 April 2020): 106095. https://doi.org/10.1016/j.agwat.2020.106095.
Balakrishna, K. ‘WSN-Based Information Dissemination for Optimizing Irrigation Through Prescriptive Farming’. International Journal of Agricultural and Environmental Information Systems 11, no. 4 (December 2020): 41–54. https://doi.org/10.4018/IJAEIS.2020100103.
Balwinder-Singh, Paresh B. Shirsath, M. L. Jat, A. J. McDonald, Amit K. Srivastava, Peter Craufurd, D. S. Rana, et al. ‘Agricultural Labor, COVID-19, and Potential Implications for Food Security and Air Quality in the Breadbasket of India’. Agricultural Systems 185 (November 2020): 102954. https://doi.org/10.1016/j.agsy.2020.102954.
Bandara, W. B. M. A. C., Kazuhito Sakai, Tamotsu Nakandakari, Preecha Kapetch, and R. H. K. Rathnappriya. ‘A Gaussian-Process-Based Global Sensitivity Analysis of Cultivar Trait Parameters in APSIM-Sugar Model: Special Reference to Environmental and Management Conditions in Thailand’. Agronomy-Basel 10, no. 7 (July 2020): 984. https://doi.org/10.3390/agronomy10070984.
Bartel, C. A., S. V. Archontoulis, A. W. Lenssen, K. J. Moore, I. L. Huber, D. A. Laird, and P. M. Dixon. ‘Modeling Perennial Groundcover Effects on Annual Maize Grain Crop Growth with the Agricultural Production Systems SIMulator’. Agronomy Journal 112, no. 3 (June 2020): 1895–1910. https://doi.org/10.1002/agj2.20108.
Baum, Mitch E., Mark A. Licht, Isaiah Huber, and Sotirios Archontoulis. ‘Impacts of Climate Change on the Optimum Planting Date of Different Maize Cultivars in the Central US Corn Belt’. European Journal of Agronomy 119 (September 2020): 126101. https://doi.org/10.1016/j.eja.2020.126101.
Bogard, Matthieu, Ben Biddulph, Bangyou Zheng, Matthew Hayden, Haydn Kuchel, Dan Mullan, Vincent Allard, Jacques Le Gouis, and Scott C. Chapman. ‘Linking Genetic Maps and Simulation to Optimize Breeding for Wheat Flowering Time in Current and Future Climates’. Crop Science 60, no. 2 (April 2020): 678–99. https://doi.org/10.1002/csc2.20113.
Boote, K. Advances in Crop Modelling for a Sustainable Agriculture. Edited by K. Boote. Advances in Crop Modelling for a Sustainable Agriculture, 2020.
Bosi, Cristiam, Paulo Cesar Sentelhas, Neil Ian Huth, Jose Ricardo Macedo Pezzopane, Mariana Pares Andreucci, and Patricia Menezes Santos. ‘APSIM-Tropical Pasture: A Model for Simulating Perennial Tropical Grass Growth and Its Parameterisation for Palisade Grass (Brachiaria Brizantha)’. Agricultural Systems 184 (September 2020): 102917. https://doi.org/10.1016/j.agsy.2020.102917.
Cann, David J., James R. Hunt, and Bill Malcolm. ‘Long Fallows Can Maintain Whole-Farm Profit and Reduce Risk in Semi-Arid South-Eastern Australia’. Agricultural Systems 178 (February 2020): 102721. https://doi.org/10.1016/j.agsy.2019.102721.
Chatterjee, Nilovna, Sotirios V. Archontoulis, Angela Bastidas, Christopher A. Proctor, Roger W. Elmore, and Andrea D. Basche. ‘Simulating Winter Rye Cover Crop Production under Alternative Management in a Corn-Soybean Rotation’. Agronomy Journal 112, no. 6 (December 2020): 4648–65. https://doi.org/10.1002/agj2.20377.
Chauhan, Yashvir S., and Merrill Ryan. ‘Frost Risk Management in Chickpea Using a Modelling Approach’. Agronomy-Basel 10, no. 4 (April 2020): 460. https://doi.org/10.3390/agronomy10040460.
Chen, Chao, Andrew L. Fletcher, Noboru Ota, Bonnie M. Flohr, Julianne M. Lilley, and Roger A. Lawes. ‘Spatial Patterns of Estimated Optimal Flowering Period of Wheat across the Southwest of Western Australia’. Field Crops Research 247 (15 February 2020): 107710. https://doi.org/10.1016/j.fcr.2019.107710.
Chen, Chao, Bin Wang, Puyu Feng, Hongtao Xing, Andrew L. Fletcher, and Roger A. Lawes. ‘The Shifting Influence of Future Water and Temperature Stress on the Optimal Flowering Period for Wheat in Western Australia’. Science of the Total Environment 737 (1 October 2020): 139707. https://doi.org/10.1016/j.scitotenv.2020.139707.
Chimonyo, Vimbayi G. P., Eranga M. Wimalasiri, Richard Kunz, Albert T. Modi, and Tafadzwanashe Mabhaudhi. ‘Optimizing Traditional Cropping Systems Under Climate Change: A Case of Maize Landraces and Bambara Groundnut’. Frontiers in Sustainable Food Systems 4 (22 October 2020): 562568. https://doi.org/10.3389/fsufs.2020.562568.
Chimonyo, Vimbayi GP, Eranga M. Wimalasiri, Richard Kunz, Albert T. Modi, and Tafadzwanashe Mabhaudhi. ‘Table_1_Optimizing Traditional Cropping Systems Under Climate Change: A Case of Maize Landraces and Bambara Groundnut.Pdf’. Figshare, 03 2020. http://dx.doi.org/10.3389/fsufs.2020.562568.s001.
Chisanga, Charles B., Elijah Phiri, Vernon R. N. Chinene, and Lydia M. Chabala. ‘Projecting Maize Yield under Local-Scale Climate Change Scenarios Using Crop Models: Sensitivity to Sowing Dates, Cultivar, and Nitrogen Fertilizer Rates’. Food and Energy Security 9, no. 4 (November 2020): e231. https://doi.org/10.1002/fes3.231.
Cichota, Rogerio, Russell McAuliffe, Julia Lee, Elena Minnee, Kirsty Martin, Hamish E. Brown, Derrick J. Moot, and Val O. Snow. ‘Forage Chicory Model: Development and Evaluation’. Field Crops Research 246 (1 February 2020): 107633. https://doi.org/10.1016/j.fcr.2019.107633.
Danquah, Eric Owusu, Yacob Beletse, Richard Stirzaker, Christopher Smith, Stephen Yeboah, Patricia Oteng-Darko, Felix Frimpong, and Stella Ama Ennin. ‘Monitoring and Modelling Analysis of Maize (Zea MaysL.) Yield Gap in Smallholder Farming in Ghana’. Agriculture-Basel 10, no. 9 (September 2020): 420. https://doi.org/10.3390/agriculture10090420.
Dayal, Kavina, Jaclyn N. Brown, Francois Waldner, Roger Lawes, Zvi Hochman, Randall Donohue, Heidi Horan, and Yang Chen. ‘Climate Drivers Provide Valuable Insights into Late Season Prediction of Australian Wheat Yield’. Agricultural and Forest Meteorology 295 (15 December 2020): 108202. https://doi.org/10.1016/j.agrformet.2020.108202.
Dias, Henrique Boriolo, Geoff Inman-Bamber, Yvette Everingham, Paulo Cesar Sentelhas, Rodrigo Bermejo, and Diomedes Christodoulou. ‘Traits for Canopy Development and Light Interception by Twenty-Seven Brazilian Sugarcane Varieties’. Field Crops Research 249 (1 April 2020): 107716. https://doi.org/10.1016/j.fcr.2020.107716.
Dilla, Aynalem M., Philip J. Smethurst, Neil I. Huth, and Karen M. Barry. ‘Plot-Scale Agroforestry Modeling Explores Tree Pruning and Fertilizer Interactions for Maize Production in a Faidherbia Parkland’. Forests 11, no. 11 (November 2020): 1175. https://doi.org/10.3390/f11111175.
Dodd, M. B., K. N. Tozer, I. Vogeler, R. Greenfield, D. R. Stevens, T. Rhodes, and S. Quilter. ‘Quantifying the Value Proposition for White Clover Persistence on a New Zealand Summer-Dry Hill-Country Farm.’ Journal of New Zealand Grasslands 82 (2020): 199–209. https://doi.org/10.33584/jnzg.2020.82.2973.
Dutta, S. K., Alison M. Laing, S. Kumar, Mahesh K. Gathala, Ajoy K. Singh, D. S. Gaydon, and P. Poulton. ‘Improved Water Management Practices Improve Cropping System Profitability and Smallholder Farmers’ Incomes’. Agricultural Water Management 242 (1 December 2020): 106411. https://doi.org/10.1016/j.agwat.2020.106411.
Elli, Elvis Felipe, Neil Huth, Paulo Cesar Sentelhas, Rafaela Lorenzato Carneiro, and Clayton Alcarde Alvares. ‘Ability of the APSIM Next Generation Eucalyptus Model to Simulate Complex Traits across Contrasting Environments’. Ecological Modelling 419 (1 March 2020): 108959. https://doi.org/10.1016/j.ecolmodel.2020.108959.
Elli, Elvis Felipe, Paulo Cesar Sentelhas, and Fabiani Denise Bender. ‘Impacts and Uncertainties of Climate Change Projections on Eucalyptus Plantations Productivity across Brazil’. Forest Ecology and Management 474 (15 October 2020): 118365. https://doi.org/10.1016/j.foreco.2020.118365.
Elli, Elvis Felipe, Paulo Cesar Sentelhas, Neil Huth, Rafaela Lorenzato Carneiro, and Clayton Alcarde Alvares. ‘Gauging the Effects of Climate Variability on Eucalyptus Plantations Productivity across Brazil: A Process-Based Modelling Approach’. Ecological Indicators 114 (July 2020): 106325. https://doi.org/10.1016/j.ecolind.2020.106325.
Eyni-Nargeseh, Hamed, Reza Deihimfard, Sajjad Rahimi-Moghaddam, and Ali Mokhtassi-Bidgoli. ‘Analysis of Growth Functions That Can Increase Irrigated Wheat Yield under Climate Change’. Meteorological Applications 27, no. 1 (January 2020): e1804. https://doi.org/10.1002/met.1804.
Fan, Bai, Yang XiaoGuang, Liu ZhiJuan, Sun Shuang, Zhang ZhenTao, Wang XiaoYu, Gao JiQing, and Liu Tao. ‘Effects of Sowing Dates on Grain Yield of Spring Maize in the Three-Province of the Northeast China under Climate Change.’ Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture 28, no. 4 (2020): 480–91. https://doi.org/10.13930/j.cnki.cjea.190585.
Feng, Puyu, Bin Wang, De Li Liu, Cathy Waters, Dengpan Xiao, Lijie Shi, and Qiang Yu. ‘Dynamic Wheat Yield Forecasts Are Improved by a Hybrid Approach Using a Biophysical Model and Machine Learning Technique’. Agricultural and Forest Meteorology 285 (15 May 2020): 107922. https://doi.org/10.1016/j.agrformet.2020.107922.
Fletcher, Andrew L., Chao Chen, Noboru Ota, Roger A. Lawes, and Yvette M. Oliver. ‘Has Historic Climate Change Affected the Spatial Distribution of Water-Limited Wheat Yield across Western Australia?’ Climatic Change 159, no. 3 (April 2020): 347–64. https://doi.org/10.1007/s10584-020-02666-w.
Fuchs, Kathrin, Lutz Merbold, Nina Buchmann, Gianni Bellocchi, Marco Bindi, Lorenzo Brilli, Richard T. Conant, et al. ‘Evaluating the Potential of Legumes to Mitigate N2O Emissions From Permanent Grassland Using Process-Based Models’. Global Biogeochemical Cycles 34, no. 12 (December 2020): e2020GB006561. https://doi.org/10.1029/2020GB006561.
Fuchs, Kathrin, Lutz Merbold, Nina Buchmann, Daniel Bretscher, Lorenzo Brilli, Nuala Fitton, Cairistiona F. E. Topp, et al. ‘Multimodel Evaluation of Nitrous Oxide Emissions From an Intensively Managed Grassland’. Journal of Geophysical Research-Biogeosciences 125, no. 1 (January 2020): e2019JG005261. https://doi.org/10.1029/2019JG005261.
Gao, Jiqing, Xiaoguang Yang, Bangyou Zheng, Zhijuan Liu, Jin Zhao, and Shuang Sun. ‘Does Precipitation Keep Pace with Temperature in the Marginal Double-Cropping Area of Northern China?’ European Journal of Agronomy 120 (October 2020): 126126. https://doi.org/10.1016/j.eja.2020.126126.
Giltrap, Donna, Jagadeesh Yeluripati, Pete Smith, Nuala Fitton, Ward Smith, Brian Grant, Christopher D. Dorich, et al. ‘Global Research Alliance N2O Chamber Methodology Guidelines: Summary of Modeling Approaches’. Journal of Environmental Quality 49, no. 5 (October 2020): 1168–85. https://doi.org/10.1002/jeq2.20119.
Gomes, Fagner Junior, Cristiam Bosi, Bruno Carneiro Pedreira, Patricia Menezes Santos, and Carlos Guilherme Silveira Pedreira. ‘Parameterization of the APSIM Model for Simulating Palisadegrass Growth under Continuous Stocking in Monoculture and in a Silvopastoral System’. Agricultural Systems 184 (September 2020): 102876. https://doi.org/10.1016/j.agsy.2020.102876.
Gummadi, Sridhar. ‘APSIM and DSSAT Calibration’. Harvard Dataverse 1 (13 2020). http://dx.doi.org/10.7910/DVN/0ECMP0.
———. ‘Crop Simulation Models APSIM and DSSAT’. Harvard Dataverse 1 (13 2020). http://dx.doi.org/10.7910/DVN/DVAO17.
Gummadi, Sridhar, M. D. M. Kadiyala, K. P. C. Rao, Ioannis Athanasiadis, Richard Mulwa, Mary Kilavi, Gizachew Legesse, and Tilahun Amede. ‘Adaptation Strategy for Different Agro-Ecological Zones with Best Combination of Planting Time, Plant Population, Variety and Fertilizer Nitrogen for LR and SR Seasons.’ Figshare, 02 2020. http://dx.doi.org/10.1371/journal.pone.0241147.t007.
———. ‘Agro-Ecological Zone (AEZ) Wise Number of Households Covered by the Household Survey and the Administrative Divisions They Belong to in Embu County.’ Figshare, 02 2020. http://dx.doi.org/10.1371/journal.pone.0241147.t001.
———. ‘Genetic Coefficients for Three Maize Varieties Derived from the Calibration with APSIM and DSSAT Using Experimental Data from Embu, Kenya.’ Figshare, 02 2020. http://dx.doi.org/10.1371/journal.pone.0241147.t004.
———. ‘Important Characteristics of the Representative Soil Profiles Used with Crop Simulation Models and the Agro-Ecological Zones They Represent.’ Figshare, 02 2020. http://dx.doi.org/10.1371/journal.pone.0241147.t002.
———. ‘Kendall Tau Significance Test for Annual and Seasonal Temperature at Embu and Rainfall at All the Four Locations.’ Figshare, 02 2020. http://dx.doi.org/10.1371/journal.pone.0241147.t005.
———. ‘Maize Varieties Used by Farmers and the Identified Equivalent in the Model.’ Figshare, 02 2020. http://dx.doi.org/10.1371/journal.pone.0241147.t003.
———. ‘Observed (Average of Three Seasons) and DSSAT and APSIM Modeled Phenology and Grain and Biomass Yields of Three Maize Varieties.’ Figshare, 02 2020. http://dx.doi.org/10.1371/journal.pone.0241147.t006.
———. ‘Simulating Adaptation Strategies to Offset Potential Impacts of Climate Variability and Change on Maize Yields in Embu County, Kenya’. Plos One 15, no. 11 (5 November 2020): e0241147. https://doi.org/10.1371/journal.pone.0241147.
Gunarathna, M. H. J. P., Kazuhito Sakai, M. K. N. Kumari, and Manjula Ranagalage. ‘A Functional Analysis of Pedotransfer Functions Developed for Sri Lankan Soils: Applicability for Process-Based Crop Models’. Agronomy-Basel 10, no. 2 (February 2020): 285. https://doi.org/10.3390/agronomy10020285.
He, Di, Yvette Oliver, and Enli Wang. ‘Predicting Plant Available Water Holding Capacity of Soils from Crop Yield’. Plant and Soil 459, no. 1–2 (February 2021): 315–28. https://doi.org/10.1007/s11104-020-04757-0.
Hernan Rotili, Diego, Peter de Voil, Joseph Eyre, Loretta Serafin, Darren Aisthorpe, Gustavo Angel Maddonni, and Daniel Rodriguez. ‘Untangling Genotype x Management Interactions in Multi-Environment on-Farm Experimentation’. Field Crops Research 255 (15 September 2020): 107900. https://doi.org/10.1016/j.fcr.2020.107900.
Hoffmann, M. P., C. M. Swanepoel, W. C. D. Nelson, D. J. Beukes, M. van der Laan, J. N. G. Hargreaves, and R. P. Roetter. ‘Simulating Medium-Term Effects of Cropping System Diversification on Soil Fertility and Crop Productivity in Southern Africa’. European Journal of Agronomy 119 (September 2020): 126089. https://doi.org/10.1016/j.eja.2020.126089.
Hosang, Evert Y., Syamsuddin, and Jeremy P. W. Wish. ‘Growth and Development Models for West Timor Maize Landraces’. In International Conference on Sustainable Cereals and Crops Production Systems in the Tropics, 484:012124, 2020. https://doi.org/10.1088/1755-1315/484/1/012124.
Houshmandfar, Alireza, Noboru Ota, Garry J. O’Leary, Bangyou Zheng, Yang Chen, Sabine Tausz-Posch, Glenn J. Fitzgerald, Richard Richards, Greg J. Rebetzke, and Michael Tausz. ‘A Reduced-Tillering Trait Shows Small but Important Yield Gains in Dryland Wheat Production’. Global Change Biology 26, no. 7 (July 2020): 4056–67. https://doi.org/10.1111/gcb.15105.
Huang, Mingxia, Jing Wang, Bin Wang, De Li Liu, Qiang Yu, Di He, Na Wang, and Xuebiao Pan. ‘Optimizing Sowing Window and Cultivar Choice Can Boost China’s Maize Yield under 1.5 Degrees C and 2 Degrees C Global Warming’. Environmental Research Letters 15, no. 2 (February 2020): 024015. https://doi.org/10.1088/1748-9326/ab66ca.
Hussain, Jamshad, Tasneem Khaliq, Senthold Asseng, Umer Saeed, Ashfaq Ahmad, Burhan Ahmad, Ishfaq Ahmad, et al. ‘Climate Change Impacts and Adaptations for Wheat Employing Multiple Climate and Crop Modelsin Pakistan.’ Climatic Change 163, no. 1 (2020): 253–66. https://doi.org/10.1007/s10584-020-02855-7.
———. ‘Climate Change Impacts and Adaptations for Wheat Employing Multiple Climate and Crop Modelsin Pakistan’. Climatic Change 163, no. 1 (November 2020): 253–66. https://doi.org/10.1007/s10584-020-02855-7.
Joseph, J. E., O. O. Akinrotimi, Karuturi Purna Chandra Rao, P. C. Sibiry Traore, A. P. Ramaraj, P. Sujatha, and A. M. Whitbread. ‘The Usefulness of Gridded Climate Data Products in Characterizing Climate Variability and Assessing Crop Production.’ CCAFS Working Paper, no. 322 (2020): iv + 35 pp.-iv + 35 pp.
Jun, Wang, Li Guang, Yan LiJuan, Liu Qiang, and Nie ZhiGang. ‘Simulation of Spring Wheat Yield Response to Temperature Changes of Different Growth Stages in Drylands.’ Scientia Agricultura Sinica 53, no. 5 (2020): 904–16. https://doi.org/10.3864/j.issn.0578-1752.2020.05.004.
JunQing, Zheng, Wang Jing, Ren Wei, Tang JianZhao, He Di, Huang MingXia, Bai HuiQing, and Wu BingJie. ‘Modeling the Impacts of Climate, Soil, and Cultivar on Optimal Irrigation Amount of Winter Wheat in the North China Plain.’ Agronomy Journal 112, no. 2 (2020): 1176–89. https://doi.org/10.1002/agj2.20139.
Kadigi, Ibrahim L., James W. Richardson, Khamaldin D. Mutabazi, Damas Philip, Sixbert K. Mourice, Winfred Mbungu, Jean-Claude Bizimana, and Stefan Sieber. ‘The Effect of Nitrogen-Fertilizer and Optimal Plant Population on the Profitability of Maize Plots in the Wami River Sub-Basin, Tanzania: A Bio-Economic Simulation Approach’. Agricultural Systems 185 (November 2020): 102948. https://doi.org/10.1016/j.agsy.2020.102948.
Kawakita, Satoshi, Hidehiro Takahashi, and Kazuyuki Moriya. ‘Prediction and Parameter Uncertainty for Winter Wheat Phenology Models Depend on Model and Parameterization Method Differences’. Agricultural and Forest Meteorology 290 (15 August 2020): 107998. https://doi.org/10.1016/j.agrformet.2020.107998.
Keating, Brian A. ‘Crop, Soil and Farm Systems Models – Science, Engineering or Snake Oil Revisited’. Agricultural Systems 184 (September 2020): 102903. https://doi.org/10.1016/j.agsy.2020.102903.
Khalid Anser, M., Tayyaba Hina, Shahzad Hameed, M. Hamid Nasir, Ishfaq Ahmad, and M. A. U. Rehman Naseer. ‘Modeling Adaptation Strategies against Climate Change Impacts in Integrated Rice-Wheat Agricultural Production System of Pakistan.’ International Journal of Environmental Research and Public Health 17, no. 7 (2020): 2522–2522. https://doi.org/10.3390/ijerph17072522.
Khan, Muhammad Aamir, Alishba Tahir, Nabila Khurshid, Muhammad Iftikhar ul Husnain, Mukhtar Ahmed, and Houcine Boughanmi. ‘Economic Effects of Climate Change-Induced Loss of Agricultural Production by 2050: A Case Study of Pakistan’. Sustainability 12, no. 3 (February 2020): 1216. https://doi.org/10.3390/su12031216.
Kwesiga, Julius, Kristina Groteluschen, Kalimuthu Senthilkumar, Daniel Neuhoff, Thomas F. Doring, and Mathias Becker. ‘Rice Yield Gaps in Smallholder Systems of the Kilombero Floodplain in Tanzania’. Agronomy-Basel 10, no. 8 (August 2020): 1135. https://doi.org/10.3390/agronomy10081135.
Liu, Ke, Matthew Tom Harrison, James Hunt, Tefera Tolera Angessa, Holger Meinke, Chengdao Li, Xiaohai Tian, and Meixue Zhou. ‘Identifying Optimal Sowing and Flowering Periods for Barley in Australia: A Modelling Approach’. Agricultural and Forest Meteorology 282 (15 March 2020): 107871. https://doi.org/10.1016/j.agrformet.2019.107871.
Liu, Ke, Matthew Tom Harrison, Sergey Shabala, Holger Meinke, Ibrahim Ahmed, Yunbo Zhang, Xiaohai Tian, and Meixue Zhou. ‘The State of the Art in Modeling Waterlogging Impacts on Plants: What Do We Know and What Do We Need to Know’. Earths Future 8, no. 12 (December 2020): e2020EF001801. https://doi.org/10.1029/2020EF001801.
MacPherson, Joseph, Carsten Paul, and Katharina Helming. ‘Linking Ecosystem Services and the SDGs to Farm-Level Assessment Tools and Models’. Sustainability 12, no. 16 (August 2020): 6617. https://doi.org/10.3390/su12166617.
Mainuddin, M., M. Maniruzzaman, D. S. Gaydon, S. Sarkar, M. A. Rahman, S. K. Sarangi, K. K. Sarker, and J. M. Kirby. ‘A Water and Salt Balance Model for the Polders and Islands in the Ganges Delta’. Journal of Hydrology 587 (August 2020): 125008. https://doi.org/10.1016/j.jhydrol.2020.125008.
Man, Jianguo. ‘Supplementary Figures’. Zenodo, 04 2020. http://dx.doi.org/10.5281/ZENODO.3728169.
———. ‘Supplementary Figures’. Zenodo, 04 2020. http://dx.doi.org/10.5281/ZENODO.3728170.
Manschadi, A. M., J. Eitzinger, M. Breisch, W. Fuchs, T. Neubauer, and A. Soltani. ‘Full Parameterisation Matters for the Best Performance of Crop Models: Inter-Comparison of a Simple and a Detailed Maize Model’. International Journal of Plant Production 15, no. 1 (March 2021): 61–78. https://doi.org/10.1007/s42106-020-00116-2.
McNunn, Gabriel, Emily Heaton, Sotirios Archontoulis, Mark Licht, and Andy VanLoocke. ‘Table_1_Using a Crop Modeling Framework for Precision Cost-Benefit Analysis of Variable Seeding and Nitrogen Application Rates.Docx’. Figshare, 03 2020. http://dx.doi.org/10.3389/fsufs.2019.00108.s001.
———. ‘Using a Crop Modeling Framework for Precision Cost-Benefit Analysis of Variable Seeding and Nitrogen Application Rates (Vol 3, 108, 2019)’. Frontiers in Sustainable Food Systems 4 (30 October 2020): 596523. https://doi.org/10.3389/fsufs.2020.596523.
Meier, Elizabeth A., Peter J. Thorburn, Lindsay W. Bell, Matthew T. Harrison, and Jody S. Biggs. ‘Greenhouse Gas Emissions From Cropping and Grazed Pastures Are Similar: A Simulation Analysis in Australia’. Frontiers in Sustainable Food Systems 3 (21 January 2020): 121. https://doi.org/10.3389/fsufs.2019.00121.
Meier, Elizabeth, Julianne Lilley, John Kirkegaard, Jeremy Whish, and Therese McBeath. ‘Management Practices That Maximise Gross Margins in Australian Canola (Brassica Napus L.)’. Field Crops Research 252 (1 July 2020): 107803. https://doi.org/10.1016/j.fcr.2020.107803.
Mkuhlani, Siyabusa, Walter Mupangwa, Neil MacLeod, Lovemore Gwiriri, Isaiah Nyagumbo, Godfrey Manyawu, and Ngavaite Chigede. ‘Crop-Livestock Integration in Smallholder Farming Systems of Goromonzi and Murehwa, Zimbabwe’. Renewable Agriculture and Food Systems 35, no. 3 (June 2020): 249–60. https://doi.org/10.1017/S1742170518000558.
Mohanty, M., Nishant K. Sinha, J. Somasundaram, Sonali S. McDermid, Ashok K. Patra, Muneshwar Singh, A. K. Dwivedi, et al. ‘Soil Carbon Sequestration Potential in a Vertisol in Central India- Results from a 43-Year Long-Term Experiment and APSIM Modeling’. Agricultural Systems 184 (September 2020): 102906. https://doi.org/10.1016/j.agsy.2020.102906.
Morel, Julien, David Parsons, Magnus A. Halling, Uttam Kumar, Allan Peake, Goran Bergkvist, Hamish Brown, and Marten Hetta. ‘Challenges for Simulating Growth and Phenology of Silage Maize in a Nordic Climate with APSIM’. Agronomy-Basel 10, no. 5 (May 2020): 645. https://doi.org/10.3390/agronomy10050645.
Morvan, Thierry, Charlotte Lemoine, Florian Gaillard, Gaelle Hamelin, Beatrice Trinkler, Laurence Carteaux, Patrice Petitjean, and Anne Jaffrezic. ‘A Comprehensive Dataset on Nitrate, Nitrite and Dissolved Organic Carbon Leaching Losses from a 4-Year Lysimeter Study’. Data in Brief 32 (October 2020): 106029. https://doi.org/10.1016/j.dib.2020.106029.
Murthy, Dakshina, and Thomas Falk. ‘Dataset of APSIM Simulations Estimating the Ecosystem Service Impacts of Alternative Management Practices in Maharashtra/India’. ICRISAT Dataverse, 03 2020. http://dx.doi.org/10.21421/D2/C0H1JL.
Mwambo, Francis Molua, Christine Fuerst, Benjamin K. Nyarko, Christian Borgemeister, and Christopher Martius. ‘Maize Production and Environmental Costs: Resource Evaluation and Strategic Land Use Planning for Food Security in Northern Ghana by Means of Coupled Emergy and Data Envelopment Analysis’. Land Use Policy 95 (June 2020): 104490. https://doi.org/10.1016/j.landusepol.2020.104490.
Noia Junior, R. de S., and P. C. Sentelhas. ‘Yield Gap of the Double-Crop System of Main-Season Soybean with off-Season Maize in Brazil.’ Crop & Pasture Science 71, no. 5 (2020): 445–58. https://doi.org/10.1071/CP19372.
Noia Junior, Rogerio de Souza, and Paulo Cesar Sentelhas. ‘Yield Gap of the Double-Crop System of Main-Season Soybean with off-Season Maize in Brazil’. Crop & Pasture Science 71, no. 5 (2020): 445–58. https://doi.org/10.1071/CP19372.
Nurulhuda, Khairudin, Mohamad Pauzi Zakaria, Paul C. Struik, and Karel J. Keesman. ‘Equifinality in the Modelling of Ammonia Volatilisation from a Flooded Rice System’. Environmental Modelling & Software 133 (November 2020): 104752. https://doi.org/10.1016/j.envsoft.2020.104752.
O’Brien, Peter L., Thomas J. Sauer, Sotirios Archontoulis, Douglas L. Karlen, and David Laird. ‘Corn Stover Harvest Reduces Soil CO(2)Fluxes but Increases Overall C Losses’. Global Change Biology Bioenergy 12, no. 11 (November 2020): 894–909. https://doi.org/10.1111/gcbb.12742.
Osman, Raheel, Yan Zhu, Wei Ma, Dongzheng Zhang, Zhifeng Ding, Leilei Liu, Liang Tang, Bing Liu, and Weixing Cao. ‘Comparison of Wheat Simulation Models for Impacts of Extreme Temperature Stress on Grain Quality’. Agricultural and Forest Meteorology 288 (15 July 2020): 107995. https://doi.org/10.1016/j.agrformet.2020.107995.
Pasley, Heather R., Isaiah Huber, Michael J. Castellano, and Sotirios Archontoulis. ‘Modeling Flood-Induced Stress in Soybeans’. Frontiers in Plant Science 11 (12 February 2020): 62. https://doi.org/10.3389/fpls.2020.00062.
Pasley, Heather R., Isaiah Huber, Michael J. Castellano, and Sotirios V. Archontoulis. ‘Table_1_Modeling Flood-Induced Stress in Soybeans.Docx’. Figshare, 05 2020. http://dx.doi.org/10.3389/fpls.2020.00062.s001.
Patidar, Rohit, M. Mohanty, Nishant K. Sinha, S. C. Gupta, J. Somasundaram, R. S. Chaudhary, R. Soliya, et al. ‘Potential Impact of Future Climate Change on Maize (Zea Mays L.) under Rainfed Condition in Central India’. Journal of Agrometeorology 22, no. 1 (March 2020): 18–23.
Pembleton, K. G., B. R. Cullen, R. P. Rawnsley, and T. Ramilan. ‘Climate Change Effects on Pasture-Based Dairy Systems in South-Eastern Australia’. Crop & Pasture Science, 2020. https://doi.org/10.1071/CP20108.
Peng, Ting, Jingying Fu, Dong Jiang, and Jinshuang Du. ‘Simulation of the Growth Potential of Sugarcane as an Energy Crop Based on the APSIM Model’. Energies 13, no. 9 (May 2020): 2173. https://doi.org/10.3390/en13092173.
Peterson, Caitlin A., Lindsay W. Bell, Paulo C. de F. Carvalho, and Amelie C. M. Gaudin. ‘Resilience of an Integrated Crop-Livestock System to Climate Change: A Simulation Analysis of Cover Crop Grazing in Southern Brazil’. Frontiers in Sustainable Food Systems 4 (25 November 2020): 604099. https://doi.org/10.3389/fsufs.2020.604099.
Peterson, Caitlin A., Lindsay W. Bell, Paulo C. De F. Carvalho, and Amelie CM Gaudin. ‘Data_Sheet_1_Resilience of an Integrated Crop-Livestock System to Climate Change: A Simulation Analysis of Cover Crop Grazing in Southern Brazil.Docx’. Figshare, 01 2020. http://dx.doi.org/10.3389/fsufs.2020.604099.s001.
QinnLiu, Ma, Zhang XueMei, Wang ZiKui, and Yang HuiMin. ‘Optimizing Oat Irrigation Schedules in an Alpine Region Using APSIM.’ Acta Prataculturae Sinica 29, no. 7 (2020): 1–10. https://doi.org/10.11686/cyxb2019455.
QiuWan, Huang, Liu ZhiJuan, Yang XiaoGuang, Bai Fan, Liu Tao, Zhang ZhenTao, Sun Shuang, and Zhao Jin. ‘Analysis of Suitable Irrigation Schemes with High-Production and High-Efficiency for Spring Maize to Adapt to Climate Change in the West of Northeast China.’ Scientia Agricultura Sinica 53, no. 21 (2020): 4470–84. https://doi.org/10.3864/j.issn.0578-1752.2020.21.015.
Rahimi, Reza, Anonymous, and Elaheh Sadredini. ‘Gr-Rahimi/APSim: ASPLOS Camera Ready Release’. Zenodo, 05 2020. http://dx.doi.org/10.5281/ZENODO.3612777.
Roell, Georg, Emir Memic, and Simone Graeff-Hoenninger. ‘Implementation of an Automatic Time-Series Calibration Method for the DSSAT Wheat Models to Enhance Multi-Model Approaches’. Agronomy Journal 112, no. 5 (October 2020): 3891–3912. https://doi.org/10.1002/agj2.20328.
Saddique, Q., Y. Zou, A. Ajaz, J. Ji, J. Xu, M. Azmat, M. H. U. Rahman, J. He, and H. Cai. ‘ANALYZING THE PERFORMANCE AND APPLICATION OF CERES-WHEAT AND APSIM IN THE GUANZHONG PLAIN, CHINA’. Transactions of the Asabe 63, no. 6 (2020): 1879–93. https://doi.org/10.13031/trans.13631.
Saddique, Qaisar, Huanjie Cai, Jiatun Xu, Ali Ajaz, Jianqiang He, Qiang Yu, Yunfei Wang, et al. ‘Analyzing Adaptation Strategies for Maize Production under Future Climate Change in Guanzhong Plain, China’. Mitigation and Adaptation Strategies for Global Change 25, no. 8 (December 2020): 1523–43. https://doi.org/10.1007/s11027-020-09935-0.
Saddique, Qaisar, De Li Liu, Bin Wang, Puyu Feng, Jianqiang He, Ali Ajaz, Jianmei Ji, Jiatun Xu, Chao Zhang, and Huanjie Cai. ‘Modelling Future Climate Change Impacts on Winter Wheat Yield and Water Use: A Case Study in Guanzhong Plain, Northwestern China’. European Journal of Agronomy 119 (September 2020): 126113. https://doi.org/10.1016/j.eja.2020.126113.
Saikai, Yuji, Vivak Patel, and Paul D. Mitchell. ‘Machine Learning for Optimizing Complex Site-Specific Management’. Computers and Electronics in Agriculture 174 (July 2020): 105381. https://doi.org/10.1016/j.compag.2020.105381.
Samourkasidis, Argyrios, and Ioannis N. Athanasiadis. ‘A Semantic Approach for Timeseries Data Fusion’. Computers and Electronics in Agriculture 169 (February 2020): 105171. https://doi.org/10.1016/j.compag.2019.105171.
Santos, M. V. C., A. L. de Carvalho, J. L. de Souza, M. B. P. da Silva, R. P. Medeiros, R. A. Ferreira Junior, G. B. Lyra, I. Teodoro, G. B. Lyra, and M. A. M. Lemes. ‘A Modelling Assessment of the Maize Crop Growth, Yield and Soil Water Dynamics in the Northeast of Brazil.’ Australian Journal of Crop Science 14, no. 6 (2020): 897–904. https://doi.org/10.21475/ajcs.20.14.06.p1410.
Schepen, Andrew, Yvette Everingham, and Quan J. Wang. ‘An Improved Workflow for Calibration and Downscaling of GCM Climate Forecasts for Agricultural Applications – A Case Study on Prediction of Sugarcane Yield in Australia’. Agricultural and Forest Meteorology 291 (15 September 2020): 107991. https://doi.org/10.1016/j.agrformet.2020.107991.
Shabbir, Ghulam, Tasneem Khaliq, Ashfaq Ahmad, and Muhammad Saqib. ‘Assessing the Climate Change Impacts and Adaptation Strategies for Rice Production in Punjab, Pakistan.’ Edited by V. J. P. Vilar, S. C. Pillai, I. Poulios, D. Mantzavinos, and A. Pintar. Environmental Science and Pollution Research 27, no. 18 (2020): 22568–78. https://doi.org/10.1007/s11356-020-08846-6.
———. ‘Assessing the Climate Change Impacts and Adaptation Strategies for Rice Production in Punjab, Pakistan’. Environmental Science and Pollution Research 27, no. 18 (June 2020): 22568–78. https://doi.org/10.1007/s11356-020-08846-6.
Shen, H., F. Xu, R. Zhao, X. Xing, and X. Ma. ‘OPTIMIZATION OF SOWING DATE, IRRIGATION, AND NITROGEN MANAGEMENT OF SUMMER MAIZE USING THE DSSAT-CERES-MAIZE MODEL IN THE GUANZHONG PLAIN, CHINA’. Transactions of the Asabe 63, no. 4 (2020): 789–97. https://doi.org/10.13031/trans.13654.
Sidhu, Ravneet Kaur, Ravinder Kumar, and Prashant Singh Rana. ‘Long Short-Term Memory Neural Network-Based Multi-Level Model for Smart Irrigation’. Modern Physics Letters B 34, no. 36 (30 December 2020): 2050418. https://doi.org/10.1142/S0217984920504187.
Smethurst, Philip J., Rafael V. Valadares, Neil Huth, Auro C. Almeida, Elvis F. Elli, and Julio C. L. Neves. ‘Generalized Model for Plantation Production of Eucalyptus Grandis and Hybrids for Genotype-Site-Management Applications’. Forest Ecology and Management 469 (1 August 2020): 118164. https://doi.org/10.1016/j.foreco.2020.118164.
Smith, Andrew P., and Andrew D. Moore. ‘Whole Farm Implications of Lucerne Transitions in Temperate Crop-Livestock Systems’. Agricultural Systems 177 (January 2020): 102686. https://doi.org/10.1016/j.agsy.2019.102686.
Smith, C. J., B. C. T. Macdonald, H. Xing, O. T. Denmead, E. Wang, G. McLachlan, S. Tuomi, D. Turner, and D. Chen. ‘Measurements and APSIM Modelling of Soil C and N Dynamics’. Soil Research 58, no. 1 (2020): 41–61. https://doi.org/10.1071/SR19021.
Smith, Christopher J., and Phillip M. Chalk. ‘Grain Legumes in Crop Rotations under Low and Variable Rainfall: Are Observed Short-Term N Benefits Sustainable?’ Plant and Soil 453, no. 1–2 (August 2020): 271–79. https://doi.org/10.1007/s11104-020-04578-1.
Sparks, Adam H. ‘Ropensci/Nasapower v2.0.0’. Zenodo, 30 2020. http://dx.doi.org/10.5281/ZENODO.4046274.
———. ‘Ropensci/Nasapower v3.0.0’. Zenodo, 01 2020. http://dx.doi.org/10.5281/ZENODO.4076078.
Tang, Jianzhao, Dengpan Xiao, Huizi Bai, Bin Wang, De Li Liu, Puyu Feng, Yuan Zhang, and Jun Zhang. ‘Potential Benefits of Potato Yield at Two Sites of Agro-Pastoral Ecotone in North China Under Future Climate Change’. International Journal of Plant Production 14, no. 3 (September 2020): 401–14. https://doi.org/10.1007/s42106-020-00092-7.
Tenreiro, Tomas R., Margarita Garcia-Vila, Jose A. Gomez, Jose A. Jimenez-Berni, and Elias Fereres. ‘Water Modelling Approaches and Opportunities to Simulate Spatial Water Variations at Crop Field Level’. Agricultural Water Management 240 (1 October 2020): 106254. https://doi.org/10.1016/j.agwat.2020.106254.
Tofiq, S., D. Rahimi, and H. Yazadnpanah. ‘Simulation of Yield, Evapotranspiration, Water Requirement and Water Use Efficiency of Wheat Using CERES-WHEAT-DSSAT Model in Shahrekord Plain.’ Journal of Water and Soil 34, no. 3 (2020): fa579–92. https://doi.org/10.22067/jsw.v34i3.84847.
Treble, Karen. ‘Subsoil Constraints- Dandaragan’. CSIRO Data Access Portal, 20 2020. http://dx.doi.org/10.25919/5e1676cbb8bc2.
———. ‘Subsoils Innovative Lime Incorporation at West Wubin’. CSIRO Data Access Portal, 20 2020. http://dx.doi.org/10.25919/5e1676587e478.
Vogeler, Iris, Elly Moller Hansen, Svend Nielsen, Rodrigo Labouriau, Rogerio Cichota, Jorgen E. Olesen, and Ingrid Kaag Thomsen. ‘Nitrate Leaching from Suction Cup Data: Influence of Method of Drainage Calculation and Concentration Interpolation’. Journal of Environmental Quality 49, no. 2 (April 2020): 440–49. https://doi.org/10.1002/jeq2.20020.
Wang, Bin, Puyu Feng, De Li Liu, and Cathy Waters. ‘Modelling Biophysical Vulnerability of Wheat to Future Climate Change: A Case Study in the Eastern Australian Wheat Belt’. Ecological Indicators 114 (July 2020): 106290. https://doi.org/10.1016/j.ecolind.2020.106290.
Wang, Enli, Di He, Zhigan Zhao, Chris J. Smith, and Ben C. T. Macdonald. ‘Using a Systems Modeling Approach to Improve Soil Management and Soil Quality’. Frontiers of Agricultural Science and Engineering 7, no. 3 (September 2020): 289–95. https://doi.org/10.15302/J-FASE-2020337.
Wang, Yaxu, Juan Lv, Yicheng Wang, Hongquan Sun, Jamie Hannaford, Zhicheng Su, Lucy J. Barker, and Yanping Qu. ‘Drought Risk Assessment of Spring Maize Based on APSIM Crop Model in Liaoning Province, China’. International Journal of Disaster Risk Reduction 45 (May 2020): 101483. https://doi.org/10.1016/j.ijdrr.2020.101483.
Wimalasiri, Eranga M., Ebrahim Jahanshiri, Tengku Adhwa Syaherah Tengku Mohd Suhairi, Hasika Udayangani, Ranjith B. Mapa, Asha S. Karunaratne, Lal P. Vidhanarachchi, and Sayed N. Azam-Ali. ‘Basic Soil Data Requirements for Process-Based Crop Models as a Basis for Crop Diversification’. Sustainability 12, no. 18 (September 2020): 7781. https://doi.org/10.3390/su12187781.
Xiao, Dengpan, De Li Liu, Bin Wang, Puyu Feng, Huizi Bai, and Jianzhao Tang. ‘Climate Change Impact on Yields and Water Use of Wheat and Maize in the North China Plain under Future Climate Change Scenarios’. Agricultural Water Management 238 (1 August 2020): 106238. https://doi.org/10.1016/j.agwat.2020.106238.
Xiao, Dengpan, De Li Liu, Bin Wang, Puyu Feng, and Cathy Waters. ‘Designing High-Yielding Maize Ideotypes to Adapt Changing Climate in the North China Plain’. Agricultural Systems 181 (May 2020): 102805. https://doi.org/10.1016/j.agsy.2020.102805.
Xin, Yue, and Fulu Tao. ‘Developing Climate-Smart Agricultural Systems in the North China Plain’. Agriculture Ecosystems & Environment 291 (1 April 2020): 106791. https://doi.org/10.1016/j.agee.2019.106791.
Xuan, Yang, Li Zhou, Cui Song, Cao Quan, Deng JianQiang, Lai XingFa, and Shen YuYing. ‘Cropping System Productivity and Evapotranspiration in the Semiarid Loess Plateau of China under Future Temperature and Precipitation Changes: An APSIM-Based Analysis of Rotational vs. Continuous Systems.’ Agricultural Water Management 229 (2020): 105959–105959.
Yan, Zongzheng, Xiying Zhang, Muhammad Adil Rashid, Hongjun Li, Haichun Jing, and Zvi Hochman. ‘Assessment of the Sustainability of Different Cropping Systems under Three Irrigation Strategies in the North China Plain under Climate Change’. Agricultural Systems 178 (February 2020): 102745. https://doi.org/10.1016/j.agsy.2019.102745.
Yang, Kai-Wei, Mitchell Tuinstra, and Scott Chapman. ‘2015 West Lafayette Simulation of 18 Sorghum Hybrids [Version 1.0]’. Purdue University Research Repository 1.0 (2020). http://dx.doi.org/10.4231/0NX5-RT34.
———. ‘2017 West Lafayette Simulation of 18 Sorghum Hybrids [Version 1.0]’. Purdue University Research Repository 1.0 (2020). http://dx.doi.org/10.4231/6NW4-TB31.
———. ‘2018 West Lafayette Simulation of 18 Sorghum Hybrids [Version 1.0]’. Purdue University Research Repository 1.0 (2020). http://dx.doi.org/10.4231/KMK0-J993.
———. ‘R Pipeline for Calculation of APSIM Parameters and Generating the XML File [Version 1.0]’. Purdue University Research Repository 1.0 (2020). http://dx.doi.org/10.4231/69H7-CV75.
———. ‘Texas Scenario Simulation of Sorghum Hybrids Using Historical Weather Data [Version 1.0]’. Purdue University Research Repository 1.0 (2020). http://dx.doi.org/10.4231/PRS2-AC22.
———. ‘West Lafayette Scenario Simulation of Sorghum Hybrids Using Historical Weather Data [Version 1.0]’. Purdue University Research Repository 1.0 (2020). http://dx.doi.org/10.4231/63GJ-CJ23.
Yang, Xuan, Zhou Li, Song Cui, Quan Cao, Jianqiang Deng, Xingfa Lai, and Yuying Shen. ‘Cropping System Productivity and Evapotranspiration in the Semiarid Loess Plateau of China under Future Temperature and Precipitation Changes: An APSIM-Based Analysis of Rotational vs. Continuous Systems’. Agricultural Water Management 229 (28 February 2020): 105959. https://doi.org/10.1016/j.agwat.2019.105959.
Ye, Zi, Xiaolei Qiu, Jian Chen, Davide Cammarano, Zhonglei Ge, Alex C. Ruane, Leilei Liu, et al. ‘Impacts of 1.5 Degrees C and 2.0 Degrees C Global Warming above Pre-Industrial on Potential Winter Wheat Production of China’. European Journal of Agronomy 120 (October 2020): 126149. https://doi.org/10.1016/j.eja.2020.126149.
Yin, Xiaogang, Kurt-Christian Kersebaum, Nicolas Beaudoin, Julie Constantin, Fu Chen, Gaetan Louarn, Kiril Manevski, et al. ‘Uncertainties in Simulating N Uptake, Net N Mineralization, Soil Mineral N and N Leaching in European Crop Rotations Using Process-Based Models’. Field Crops Research 255 (15 September 2020): 107863. https://doi.org/10.1016/j.fcr.2020.107863.
YuLan, Lu, Li Guang, Yan LiJuan, Nie ZhiGang, and Ru XiaoYa. ‘Climate Changes in Middle of Gansu Province from 1971 to 2017 and Its Impact on Yield of Dryland Spring Wheat.’ Journal of Triticeae Crops 40, no. 2 (2020): 234–42.
Zeleke, Ketema Tilahun. ‘Evaluating Dry Matter Production and Grain Yield of Dual-Purpose Winter Wheat Using Field Experiment and Modelling’. Agronomy-Basel 10, no. 3 (March 2020): 338. https://doi.org/10.3390/agronomy10030338.
Zhang, Meng, Yanmei Gao, Yinghua Zhang, Tony Fischer, Zhigan Zhao, Xiaonan Zhou, Zhimin Wang, and Enli Wang. ‘The Contribution of Spike Photosynthesis to Wheat Yield Needs to Be Considered in Process-Based Crop Models’. Field Crops Research 257 (15 October 2020): 107931. https://doi.org/10.1016/j.fcr.2020.107931.
Zhao, Jin, Xiaoguang Yang, Zhijuan Liu, Johannes W. M. Pullens, Ji Chen, Gary W. Marek, Yong Chen, Shuo Lv, and Shuang Sun. ‘Greater Maize Yield Improvements in Low/Unstable Yield Zones through Recommended Nutrient and Water Inputs in the Main Cropping Regions, China’. Agricultural Water Management 232 (1 April 2020): 106018. https://doi.org/10.1016/j.agwat.2020.106018.
Zhao, Junfang, Xiangna Kong, Kejun He, Hui Xu, and Jia Mu. ‘Assessment of the Radiation Effect of Aerosols on Maize Production in China’. Science of the Total Environment 720 (10 June 2020): 137567. https://doi.org/10.1016/j.scitotenv.2020.137567.
Zhao, Junfang, Xiangna Kong, Hui Xu, Yanhong Zhang, and Yueqing Jiang. ‘Assessment of Biomass and Yield Loss of Maize Caused by Aerosols in Heavily Polluted Agricultural Areas of China Based on APSIM Model’. Physics and Chemistry of the Earth 115 (February 2020): 102835. https://doi.org/10.1016/j.pce.2019.102835.
Zhao, Panpan, Yang Zhou, Fengfeng Li, Xiaoxia Ling, Nanyan Deng, Shaobing Peng, and Jianguo Man. ‘The Adaptability of APSIM-Wheat Model in the Middle and Lower Reaches of the Yangtze River Plain of China: A Case Study of Winter Wheat in Hubei Province’. Agronomy-Basel 10, no. 7 (July 2020): 981. https://doi.org/10.3390/agronomy10070981.
Zheng, Junqing, Jing Wang, Wei Ren, Jianzhao Tang, Di He, Mingxia Huang, Huiqing Bai, and Bingjie Wu. ‘Modeling the Impacts of Climate, Soil, and Cultivar on Optimal Irrigation Amount of Winter Wheat in the North China Plain’. Agronomy Journal 112, no. 2 (April 2020): 1176–89. https://doi.org/10.1002/agj2.20139.
ZhiGang, Nie, Li Guang, Wang Jun, Dong LiXia, Lu YuLan, Luo CuiPing, and Ma WeiWei. ‘Simulation Model of the Grain Protein Content of Dryland Wheat Based on APSIM.’ Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture 28, no. 1 (2020): 86–95.
2019
Ahmed, Mukhtar, C. O. Stockle, R. Nelson, S. Higgins, Shakeel Ahmad, and M. A. Raza. ‘Novel Multimodel Ensemble Approach to Evaluate the Sole Effect of Elevated CO2 on Winter Wheat Productivity.’ Scientific Reports 9, no. 1 (2019): 7813–7813. https://doi.org/10.1038/s41598-019-44251-x.
Ahmed, Mukhtar, Claudio O. Stockle, Roger Nelson, Stewart Higgins, Shakeel Ahmad, and Muhammad Ali Raza. ‘Novel Multimodel Ensemble Approach to Evaluate the Sole Effect of Elevated CO2 on Winter Wheat Productivity’. Scientific Reports 9 (24 May 2019): 7813. https://doi.org/10.1038/s41598-019-44251-x.
Anderson, Edward, and Marta Monjardino. ‘Contract Design in Agriculture Supply Chains with Random Yield’. European Journal of Operational Research 277, no. 3 (19 September 2019): 1072–82. https://doi.org/10.1016/j.ejor.2019.03.041.
An-Vo, Duc-Anh, S. Mushtaq, K. Reardon-Smith, L. Kouadio, S. Attard, D. Cobon, and R. Stone. ‘Value of Seasonal Forecasting for Sugarcane Farm Irrigation Planning.’ European Journal of Agronomy 104 (2019): 37–48. https://doi.org/10.1016/j.eja.2019.01.005.
An-Vo, Duc-Anh, Shahbaz Mushtaq, Kathryn Reardon-Smith, Louis Kouadio, Steve Attard, David Cobon, and Roger Stone. ‘Value of Seasonal Forecasting for Sugarcane Farm Irrigation Planning’. European Journal of Agronomy 104 (March 2019): 37–48. https://doi.org/10.1016/j.eja.2019.01.005.
Araya, A., P. V. V. Prasad, P. H. Gowda, I. Kisekka, and A. J. Foster. ‘Yield and Water Productivity of Winter Wheat under Various Irrigation Capacities’. Journal of the American Water Resources Association 55, no. 1 (February 2019): 24–37. https://doi.org/10.1111/1752-1688.12721.
Bahri, Haithem, Mohamed Annabi, Hatem Cheikh M’Hamed, and Aymen Frija. ‘Assessing the Long-Term Impact of Conservation Agriculture on Wheat-Based Systems in Tunisia Using APSIM Simulations under a Climate Change Context’. Science of the Total Environment 692 (20 November 2019): 1223–33. https://doi.org/10.1016/j.scitotenv.2019.07.307.
Bai, Huiqing, Jing Wang, Quanxiao Fang, and Hong Yin. ‘Modeling the Sensitivity of Wheat Yield and Yield Gap to Temperature Change with Two Contrasting Methods in the North China Plain’. Climatic Change 156, no. 4 (October 2019): 589–607. https://doi.org/10.1007/s10584-019-02526-2.
Bai, Huizi, Dengpan Xiao, He Zhang, Fulu Tao, and Yuhun Hu. ‘Impact of Warming Climate, Sowing Date, and Cultivar Shift on Rice Phenology across China during 1981-2010’. International Journal of Biometeorology 63, no. 8 (August 2019): 1077–89. https://doi.org/10.1007/s00484-019-01723-z.
Balboa, G. R., S. V. Archontoulis, F. Salvagiotti, F. O. Garcia, W. M. Stewart, E. Francisco, P. V. Vara Prasad, and I. A. Ciampitti. ‘A Systems-Level Yield Gap Assessment of Maize-Soybean Rotation under High- and Low-Management Inputs in the Western US Corn Belt Using APSIM’. Agricultural Systems 174 (August 2019): 145–54. https://doi.org/10.1016/j.agsy.2019.04.008.
Balwinder-Singh, A. J. McDonald, Virender Kumar, S. P. Poonia, Amit K. Srivastava, and R. K. Malik. ‘Taking the Climate Risk out of Transplanted and Direct Seeded Rice: Insights from Dynamic Simulation in Eastern India’. Field Crops Research 239 (1 June 2019): 92–103. https://doi.org/10.1016/j.fcr.2019.05.014.
Bowen, M. K., and F. Chudleigh. ‘Productivity and Profitability of Alternative Steer Growth Paths Resulting from Accessing High-Quality Forage Systems in the Subtropics of Northern Australia: A Modelling Approach’. Animal Production Science 59, no. 9 (2019): 1739–51. https://doi.org/10.1071/AN18311.
Bracho-Mujica, Gennady, Peter T. Hayman, and Bertram Ostendorf. ‘Modelling Long-Term Risk Profiles of Wheat Grain Yield with Limited Climate Data’. Agricultural Systems 173 (July 2019): 393–402. https://doi.org/10.1016/j.agsy.2019.03.010.
Bracho-Mujica, Gennady, Peter T. Hayman, Victor O. Sadras, and Bertram Ostendorf. ‘Simple Scaling of Climate Inputs Allows Robust Extrapolation of Modelled Wheat Yield Risk at a Continental Scale’. Climate Risk Management 23 (2019): 101–13. https://doi.org/10.1016/j.crm.2018.11.002.
Bryant, Racheal H., Val O. Snow, Paul R. Shorten, and Brendon G. Welten. ‘Can Alternative Forages Substantially Reduce N Leaching? Findings from a Review and Associated Modelling’. New Zealand Journal of Agricultural Research 63, no. 1 (2 January 2020): 3–28. https://doi.org/10.1080/00288233.2019.1680395.
Bustos-Korts, Daniela, Martin P. Boer, Marcos Malosetti, Scott Chapman, Karine Chenu, Bangyou Zheng, and Fred van Eeuwijk. ‘Combining Crop Growth Modeling and Statistical Genetic Modeling to Evaluate Phenotyping Strategies’. Frontiers in Plant Science 10 (27 November 2019): 1491. https://doi.org/10.3389/fpls.2019.01491.
Bustos-Korts, Daniela, Marcos Malosetti, Karine Chenu, Scott Chapman, Martin P. Boer, Bangyou Zheng, and Fred A. van Eeuwijk. ‘From QTLs to Adaptation Landscapes: Using Genotype-To-Phenotype Models to Characterize GxE Over Time’. Frontiers in Plant Science 10 (4 December 2019): 1540. https://doi.org/10.3389/fpls.2019.01540.
Bustos-Korts, Daniela, Marcos Malosetti, Karine Chenu, Scott Chapman, Martin P. Boer, Bangyou Zheng, and Fred A. Van Eeuwijk. ‘DataSheet_1_From QTLs to Adaptation Landscapes: Using Genotype-To-Phenotype Models to Characterize GxE Over Time.Csv’. Figshare, 2019. http://dx.doi.org/10.3389/fpls.2019.01540.s001.
Carcedo, Ana J. P., and Brenda L. Gambin. ‘Sorghum Drought and Heat Stress Patterns across the Argentinean Temperate Central Region’. Field Crops Research 241 (1 September 2019): UNSP 107552. https://doi.org/10.1016/j.fcr.2019.06.009.
Cavalli, Daniele, Gianni Bellocchi, Martina Corti, Pietro Marino Gallina, and Luca Bechini. ‘Sensitivity Analysis of C and N Modules in Biogeochemical Crop and Grassland Models Following Manure Addition to Soil’. European Journal of Soil Science 70, no. 4 (July 2019): 833–46. https://doi.org/10.1111/ejss.12793.
Chauhan, Yashvir S., Merrill Ryan, Subhash Chandra, and Victor O. Sadras. ‘Accounting for Soil Moisture Improves Prediction of Flowering Time in Chickpea and Wheat’. Scientific Reports 9 (17 May 2019): 7510. https://doi.org/10.1038/s41598-019-43848-6.
Chen, Kefei, Rebecca A. O’Leary, and Fiona H. Evans. ‘A Simple and Parsimonious Generalised Additive Model for Predicting Wheat Yield in a Decision Support Tool’. Agricultural Systems 173 (July 2019): 140–50. https://doi.org/10.1016/j.agsy.2019.02.009.
Chertov, O. G., P. Ya Grabarnik, V. N. Shanin, S. S. Bykhovets, B. S. Petropavlovsky, I. V. Priputina, P. V. Frolov, and E. V. Zubkova. ‘Dynamical Models of Terrestrial Ecosystems for Quantitative Assessment of Vegetation Productivity’. Rastitel’nye Resursy 55, no. 2 (2019): 151–69. https://doi.org/10.1134/S0033994619020031.
Clarke, S. J., J. McLean, B. George-Jaeggli, G. McLean, P. de Voil, J. X. Eyre, and D. Rodriguez. ‘Understanding the Diversity in Yield Potential and Stability among Commercial Sorghum Hybrids Can Inform Crop Designs’. Field Crops Research 230 (1 January 2019): 84–97. https://doi.org/10.1016/j.fcr.2018.10.010.
Culman, Maria, Claudio M. de Farias, Cristihian Bayona, and Jose Daniel Cabrera Cruz. ‘Using Agrometeorological Data to Assist Irrigation Management in Oil Palm Crops: A Decision Support Method and Results from Crop Model Simulation’. Agricultural Water Management 213 (1 March 2019): 1047–62. https://doi.org/10.1016/j.agwat.2018.09.052.
Dias, Henrique Boriolo, Geoff Inman-Bamber, Rodrigo Bermejo, Paulo Cesar Sentelhas, and Diomedes Christodoulou. ‘New APSIM-Sugar Features and Parameters Required to Account for High Sugarcane Yields in Tropical Environments’. Field Crops Research 235 (1 April 2019): 38–53. https://doi.org/10.1016/j.fcr.2019.02.002.
Duarte, Yury C. N., and Paulo C. Sentelhas. ‘Intercomparison and Performance of Maize Crop Models and Their Ensemble for Yield Simulations in Brazil’. International Journal of Plant Production 14, no. 1 (March 2020): 127–39. https://doi.org/10.1007/s42106-019-00073-5.
Ebrahimi-Mollabashi, Elnaz, Neil I. Huth, Dean P. Holzwoth, Raziel A. Ordonez, Jerry L. Hatfield, Isaiah Huber, Michael J. Castellano, and Sotirios V. Archontoulis. ‘Enhancing APSIM to Simulate Excessive Moisture Effects on Root Growth’. Field Crops Research 236 (15 April 2019): 58–67. https://doi.org/10.1016/j.fcr.2019.03.014.
Elli, Elvis Felipe, Paulo Cesar Sentelhas, Cleverson Henrique de Freitas, Rafaela Lorenzato Carneiro, and Clayton Alcarde Alvares. ‘Assessing the Growth Gaps of Eucalyptus Plantations in Brazil – Magnitudes Causes and Possible Mitigation Strategies’. Forest Ecology and Management 451 (1 November 2019): 117464. https://doi.org/10.1016/j.foreco.2019.117464.
Feng, Puyu, Bin Wang, De Li Liu, Cathy Waters, and Qiang Yu. ‘Incorporating Machine Learning with Biophysical Model Can Improve the Evaluation of Climate Extremes Impacts on Wheat Yield in South-Eastern Australia’. Agricultural and Forest Meteorology 275 (15 September 2019): 100–113. https://doi.org/10.1016/j.agrformet.2019.05.018.
Feria, Rafael Martinez, Virginia Nichols, Bruno Basso, and Sotirios Archontoulis. ‘Can Multi-Strategy Management Stabilize Nitrate Leaching under Increasing Rainfall?’ Environmental Research Letters 14, no. 12 (December 2019): 124079. https://doi.org/10.1088/1748-9326/ab5ca8.
Fitton, Nuala, Marco Bindi, Lorenzo Brilli, Rogerio Cichota, Camila Dibari, Kathrin Fuchs, Olivier Huguenin-Elie, et al. ‘Modelling Biological N Fixation and Grass-Legume Dynamics with Process Based Biogeochemical Models of Varying Complexity’. European Journal of Agronomy 106 (May 2019): 58–66. https://doi.org/10.1016/j.eja.2019.03.008.
Gao, Jiqing, Xiaoguang Yang, Bangyou Zheng, Zhijuan Liu, Jin Zhao, Shuang Sun, Kenan Li, and Chaoyang Dong. ‘Effects of Climate Change on the Extension of the Potential Double Cropping Region and and Crop Water Requirements in Northern China’. Agricultural and Forest Meteorology 268 (15 April 2019): 146–55. https://doi.org/10.1016/j.agrformet.2019.01.009.
Gladish, Daniel W., Ross Darnell, Peter J. Thorburn, and Bhakti Haldankar. ‘Emulated Multivariate Global Sensitivity Analysis for Complex Computer Models Applied to Agricultural Simulators’. Journal of Agricultural Biological and Environmental Statistics 24, no. 1 (March 2019): 130–53. https://doi.org/10.1007/s13253-018-00346-y.
Gunarathna, M. H. J. P., Kazuhito Sakai, Tamotsu Nakandakari, Kazuro Momii, and M. K. N. Kumari. ‘Sensitivity Analysis of Plant- and Cultivar-Specific Parameters of APSIM-Sugar Model: Variation between Climates and Management Conditions’. Agronomy-Basel 9, no. 5 (May 2019): 242. https://doi.org/10.3390/agronomy9050242.
Harrison, Matthew Tom, Pier Paolo Roggero, and Laura Zavattaro. ‘Simple, Efficient and Robust Techniques for Automatic Multi-Objective Function Parameterisation: Case Studies of Local and Global Optimisation Using APSIM’. Environmental Modelling & Software 117 (July 2019): 109–33. https://doi.org/10.1016/j.envsoft.2019.03.010.
Hasan, M. K., S. Akhter, M. A. H. Chowdhury, A. K. Chaki, M. R. A. Chawdhery, and T. Zahan. ‘Prediction of Changing Climatic Effect and Risk Management by Using Simulation Approaches for Rice-Wheat System in Bangladesh.’ Bangladesh Journal of Agricultural Research 44, no. 2 (2019): 311–26. https://doi.org/10.3329/bjar.v44i2.41820.
He, Di, and Enli Wang. ‘On the Relation between Soil Water Holding Capacity and Dryland Crop Productivity’. Geoderma 353 (1 November 2019): 11–24. https://doi.org/10.1016/j.geoderma.2019.06.022.
Hoffmann, Munir, and Marian Koch. ‘AgMIP’s Global Gridded Crop Model Intercomparison (GGCMI) Phase II CTWN-A Archive: Priority 1 Outputs from APSIM-UGOE Maize Simulations’. Zenodo, 21 2019. http://dx.doi.org/10.5281/ZENODO.2582530.
Hunt, James R., Julianne M. Lilley, Ben Trevaskis, Bonnie M. Flohr, Allan Peake, Andrew Fletcher, Alexander B. Zwart, David Gobbett, and John A. Kirkegaard. ‘Early Sowing Systems Can Boost Australian Wheat Yields despite Recent Climate Change’. Nature Climate Change 9, no. 3 (March 2019): 244-+. https://doi.org/10.1038/s41558-019-0417-9.
Ibrahim, Ahmed, Matthew Tom Harrison, Holger Meinke, and Meixue Zhou. ‘Examining the Yield Potential of Barley Near-Isogenic Lines Using a Genotype by Environment by Management Analysis’. European Journal of Agronomy 105 (April 2019): 41–51. https://doi.org/10.1016/j.eja.2019.02.003.
Jarolimek, J., J. Pavlik, J. Kholova, and S. Ronanki. ‘Data Pre-Processing for Agricultural Simulations.’ AGRIS On-Line Papers in Economics and Informatics 11, no. 1 (2019): 49–53.
Jat, R. K., Ravi G. Singh, Mukesh Kumar, M. L. Jat, C. M. Parihar, Deepak Bijarniya, J. M. Sutaliya, et al. ‘Ten Years of Conservation Agriculture in a Rice-Maize Rotation of Eastern Gangetic Plains of India: Yield Trends, Water Productivity and Economic Profitability’. Field Crops Research 232 (15 February 2019): 1–10. https://doi.org/10.1016/j.fcr.2018.12.004.
Jin, Zhenong, Sotirios V. Archontoulis, and David B. Lobell. ‘How Much Will Precision Nitrogen Management Pay off? An Evaluation Based on Simulating Thousands of Corn Fields over the US Corn-Belt’. Field Crops Research 240 (1 July 2019): 12–22. https://doi.org/10.1016/j.fcr.2019.04.013.
Jones, M. R., A. Singels, S. Chinorumba, A. Patton, C. Poser, M. Singh, J. F. Martine, et al. ‘Exploring Process-Level Genotypic and Environmental Effects on Sugarcane Yield Using an International Experimental Dataset’. Field Crops Research 244 (1 December 2019): UNSP 107622. https://doi.org/10.1016/j.fcr.2019.107622.
Jun, Mao, Wang Jing, Huang Mingxia, Lu Xin, Dao Jingmei, Zhang Yuebin, Tao Lianan, and Yu Huaxian. ‘Effects of Sowing Date, Water and Nitrogen Coupling Management on Cane Yield and Sugar Content in Sugarcane Region of Yunnan.’ Transactions of the Chinese Society of Agricultural Engineering 35, no. 16 (2019): 134–44. https://doi.org/10.11975/j.issn.1002-6819.2019.16.015.
Kaloki, Peter, Qunying Luo, Richard Trethowan, and Daniel K. Y. Tan. ‘Can the Development of Drought Tolerant Ideotype Sustain Australian Chickpea Yield?’ International Journal of Biometeorology 63, no. 3 (March 2019): 393–403. https://doi.org/10.1007/s00484-019-01672-7.
Khaliq, Tasneem, D. S. Gaydon, M. Ahmad, M. J. M. Cheema, and Umair Gull. ‘Analyzing Crop Yield Gaps and Their Causes Using Cropping Systems Modelling-a Case Study of the Punjab Rice-Wheat System, Pakistan.’ Field Crops Research 232 (2019): 119–30. https://doi.org/10.1016/j.fcr.2018.12.010.
Khaliq, Tasneem, Donald S. Gaydon, Mobin-ud-Din Ahmad, M. J. M. Cheema, and Umair Gull. ‘Analyzing Crop Yield Gaps and Their Causes Using Cropping Systems Modelling-A Case Study of the Punjab Rice-Wheat System, Pakistan’. Field Crops Research 232 (15 February 2019): 119–30. https://doi.org/10.1016/j.fcr.2018.12.010.
Kheir, Ahmed M. S., Ahmed El Baroudy, Mahmoud A. Aiad, Medhat G. Zoghdan, Mohamed A. Abd El-Aziz, Marwa G. M. Ali, and Michael A. Fullen. ‘Impacts of Rising Temperature, Carbon Dioxide Concentration and Sea Level on Wheat Production in North Nile Delta’. Science of the Total Environment 651 (15 February 2019): 3161–73. https://doi.org/10.1016/j.scitotenv.2018.10.209.
Laan, M. van der, and L. Franke. ‘Quantifying and Managing Agricultural Nitrogen and Phosphorus Pollution from Field to Catchment Scale.’ WRC Report, no. TT792/19 (2019): xxxiv + 310 pp.-xxxiv + 310 pp.
Lawes, Roger A., Yvette M. Oliver, and Neil Huth. ‘Optimal Nitrogen Rate Can Be Predicted Using Average Yield and Estimates of Soil Water and Leaf Nitrogen with Infield Experimentation’. Agronomy Journal 111, no. 3 (June 2019): 1155–64. https://doi.org/10.2134/agronj2018.09.0607.
Li, Jianzheng, Zhongkui Luo, Yingchun Wang, Hu Li, Hongtao Xing, Ligang Wang, Enli Wang, Hui Xu, Chunyu Gao, and Tianzhi Ren. ‘Optimizing Nitrogen and Residue Management to Reduce GHG Emissions While Maintaining Crop Yield: A Case Study in a Mono-Cropping System of Northeast China’. Sustainability 11, no. 18 (September 2019): 5015. https://doi.org/10.3390/su11185015.
Liu, De Li, Fei Ji, Bin Wang, Cathy Waters, Puyu Feng, and Rebecca Darbyshire. ‘The Implication of Spatial Interpolated Climate Data on Biophysical Modelling in Agricultural Systems’. International Journal of Climatology 40, no. 5 (April 2020): 2870–90. https://doi.org/10.1002/joc.6371.
Liu, De Li, Bin Wang, Jason Evans, Fei Ji, Cathy Waters, Ian Macadam, Xihua Yang, and Kathleen Beyer. ‘Propagation of Climate Model Biases to Biophysical Modelling Can Complicate Assessments of Climate Change Impact in Agricultural Systems’. International Journal of Climatology 39, no. 1 (January 2019): 424–44. https://doi.org/10.1002/joc.5820.
Liu, Junzhi, Zhangcong Liu, A.-Xing Zhu, Fang Shen, Qiuliang Lei, and Zheng Duan. ‘Global Sensitivity Analysis of the APSIM-Oryza Rice Growth Model under Different Environmental Conditions’. Science of the Total Environment 651 (15 February 2019): 953–68. https://doi.org/10.1016/j.scitotenv.2018.09.254.
Luo, Zhongkui, and Sandra Eady. ‘Modelling Soil Organic Carbon Dynamics from 2009 to 2070’. CSIRO Data Access Portal v1 (05 2019). http://dx.doi.org/10.25919/5d0b09e683801.
Luo, Zhongkui, Sandra Eady, Bharat Sharma, Timothy Grant, De Li Liu, Annette Cowie, Ryan Farquharson, et al. ‘Mapping Future Soil Carbon Change and Its Uncertainty in Croplands Using Simple Surrogates of a Complex Farming System Model’. Geoderma 337 (1 March 2019): 311–21. https://doi.org/10.1016/j.geoderma.2018.09.041.
Luo, Zhongkui, and Enli Wang. ‘Trade-Offs between Crop Yield, Soil Carbon Sequestration and N2O Emissions’. CSIRO Data Access Portal v1 (05 2019). http://dx.doi.org/10.25919/5d0b2c7ed3c5c.
Luo, Zhongkui, Enli Wang, Chao Chen, and Zhigan Zhao. ‘Benchmarking Environmental Footprints of Agricultural Production in Huang-Huai-Hai Plain, China’. CSIRO Data Access Portal v1 (05 2019). http://dx.doi.org/10.25919/5d0ac3d9ef093.
Luo, Zhongkui, Enli Wang, Kirsten Verburg, John Kirkegaard, Alan Richardson, and Gupta Vadakattu. ‘Stubble Initiative: Modelling the Effect of Residue Management on Soil Nitrogen Dynamics and Crop Production’. CSIRO Data Access Portal v2 (05 2019). http://dx.doi.org/10.25919/5d129e200058f.
Machwitz, Miriam, Erik Hass, Juergen Junk, Thomas Udelhoven, and Martin Schlerf. ‘CropGIS – A Web Application for the Spatial and Temporal Visualization of Past, Present and Future Crop Biomass Development’. Computers and Electronics in Agriculture 161 (June 2019): 185–93. https://doi.org/10.1016/j.compag.2018.04.026.
Maraseni, Tek, and Shreevatsa Kodur. ‘Improved Prediction of Farm Nitrous Oxide Emission through an Understanding of the Interaction among Climate Extremes, Soil Nitrogen Dynamics and Irrigation Water’. Journal of Environmental Management 248 (15 October 2019): UNSP 109278. https://doi.org/10.1016/j.jenvman.2019.109278.
Marcillo, Guillermo. ‘Data for: Maize System Impacts of Cover Crop Management Decisions in Iowa: A Simulation Analysis of Rye Biomass Response to Planting Populations.’ Mendeley Data, 08 2019. http://dx.doi.org/10.17632/4TB45K7HNC.1.
———. ‘Data for: Maize System Impacts of Cover Crop Management Decisions in Iowa: A Simulation Analysis of Rye Biomass Response to Planting Populations.’ Mendeley Data, 08 2019. http://dx.doi.org/10.17632/4TB45K7HNC.
Marcillo, Guillermo S., Sarah Carlson, Meghan Filbert, Thomas Kaspar, Alejandro Plastina, and Fernando E. Miguez. ‘Maize System Impacts of Cover Crop Management Decisions: A Simulation Analysis of Rye Biomass Response to Planting Populations in Iowa, USA’. Agricultural Systems 176 (November 2019): UNSP 102651. https://doi.org/10.1016/j.agsy.2019.102651.
Martinez-Feria, Rafael A. ‘Simulated Corn Yield, Drainage Nitrate Load and Residual Soil Nitrate as Affected by Weather, Management and Soil-State at Seven Long-Term US Midwest Research Sites’. Zenodo, 2019. http://dx.doi.org/10.5281/ZENODO.3370030.
———. ‘Simulated Corn Yield, Drainage Nitrate Load and Residual Soil Nitrate as Affected by Weather, Management and Soil-State at Seven Long-Term US Midwest Research Sites’. Zenodo, 2019. http://dx.doi.org/10.5281/ZENODO.3370029.
McDonald, Cam, Jeff Corfield, Neil MacLeod, and Shaun Lisson. ‘Enhancing the Impact and Sustainability of Development Strategies with Smallholder Farmers: Participatory Engagement, Whole Farm Modelling and Farmer-Led on-Farm Research’. International Journal of Agricultural Sustainability 17, no. 6 (2 November 2019): 445–57. https://doi.org/10.1080/14735903.2019.1689063.
McNunn, Gabriel, Emily Heaton, Sotirios Archontoulis, Mark Licht, and Andy VanLoocke. ‘Table_1_Using a Crop Modeling Framework for Precision Cost-Benefit Analysis of Variable Seeding and Nitrogen Application Rates.Docx’. Figshare, 2019. http://dx.doi.org/10.3389/fsufs.2019.00108.s001.
———. ‘Using a Crop Modeling Framework for Precision Cost-Benefit Analysis of Variable Seeding and Nitrogen Application Rates’. Frontiers in Sustainable Food Systems 3 (5 December 2019): UNSP 108. https://doi.org/10.3389/fsufs.2019.00108.
MeiLing, Sheng, Liu JunZhi, Zhu AXing, D. G. Rossiter, Liu HaoRan, Liu ZhangCong, and Zhu LiMing. ‘Comparison of GLUE and DREAM for the Estimation of Cultivar Parameters in the APSIM-Maize Model.’ Agricultural and Forest Meteorology 278 (2019): 107659–107659.
Naveen-Gupta, P. L. Eberbach, E. Humphreys, Balwinder-Singh, Sudhir-Yadav, and S. S. Kukal. ‘Estimating Soil Evaporation in Dry Seeded Rice and Wheat Crops after Wetting Events’. Agricultural Water Management 217 (20 May 2019): 98–106. https://doi.org/10.1016/j.agwat.2019.02.037.
Nichols, Virginia A., Raziel A. Ordonez, Emily E. Wright, Michael J. Castellano, Matt Liebman, Jerry L. Hatfield, Matt Helmers, and Sotirios Archontoulis. ‘Maize Root Distributions Strongly Associated with Water Tables in Iowa, USA’. Plant and Soil 444, no. 1–2 (November 2019): 225–38. https://doi.org/10.1007/s11104-019-04269-6.
Noia Junior, R. de S., and P. C. Sentelhas. ‘Soybean-Maize off-Season Double Crop System in Brazil as Affected by El Nino Southern Oscillation Phases.’ Agricultural Systems 173 (2019): 254–67. https://doi.org/10.1016/j.agsy.2019.03.012.
———. ‘Soybean-Maize Succession in Brazil: Impacts of Sowing Dates on Climate Variability, Yields and Economic Profitability.’ European Journal of Agronomy 103 (2019): 140–51.
Noia Junior, Rogerio de Souza, and Paulo Cesar Sentelhas. ‘Soybean-Maize off-Season Double Crop System in Brazil as Affected by El Nino Southern Oscillation Phases’. Agricultural Systems 173 (July 2019): 254–67. https://doi.org/10.1016/j.agsy.2019.03.012.
Nola Junior, Rogerio de Souza, and Paulo Cesar Sentelhas. ‘Soybean-Maize Succession in Brazil: Impacts of Sowing Dates on Climate Variability, Yields and Economic Profitability’. European Journal of Agronomy 103 (February 2019): 140–51. https://doi.org/10.1016/j.eja.2018.12.008.
Orton, T. G., D. E. Allen, and P. M. Bloesch. ‘Nitrogen Mineralisation in Sugarcane Soils in Queensland, Australia: II. From Laboratory to Field-Based Prediction’. Soil Research 57, no. 7 (2019): 755–66. https://doi.org/10.1071/SR19032.
Qiu, Xiaolei, Liang Tang, Yan Zhu, Weixing Cao, and Leilei Liu. ‘Quantification of Cultivar Change in Double Rice Regions under a Warming Climate during 1981-2009 in China’. Agronomy-Basel 9, no. 12 (December 2019): 794. https://doi.org/10.3390/agronomy9120794.
Rahimi, Reza, Anonymous, and Elaheh Sadredini. ‘Gr-Rahimi/APSim: ASPLOS Artifact Evaluation’. Zenodo, 2019. http://dx.doi.org/10.5281/ZENODO.3563193.
———. ‘Gr-Rahimi/APSim: ASPLOS Artifact Evaluation’. Zenodo, 2019. http://dx.doi.org/10.5281/ZENODO.3563192.
———. ‘Gr-Rahimi/APSim: ASPLOS Artifact Evaluation’. Zenodo, 2019. http://dx.doi.org/10.5281/ZENODO.3563202.
Rahimi-Moghaddam, Sajjad, Jafar Kambouzia, and Reza Deihimfard. ‘Optimal Genotype x Environment x Management as a Strategy to Increase Grain Maize Productivity and Water Use Efficiency in Water-Limited Environments and Rising Temperature’. Ecological Indicators 107 (December 2019): UNSP 105570. https://doi.org/10.1016/j.ecolind.2019.105570.
Reading, L. P., K. Bajracharya, and J. Wang. ‘Simulating Deep Drainage and Nitrate Leaching on a Regional Scale: Implications for Groundwater Management in an Intensively Irrigated Area’. Irrigation Science 37, no. 5 (September 2019): 561–81. https://doi.org/10.1007/s00271-019-00636-4.
Samourkasidis, Argyrios, Evangelia Papoutsoglou, and Ioannis N. Athanasiadis. ‘A Template Framework for Environmental Timeseries Data Acquisition’. Environmental Modelling & Software 117 (July 2019): 237–49. https://doi.org/10.1016/j.envsoft.2018.10.009.
Shahhosseini, Mohsen, Rafael A. Martinez-Feria, Guiping Hui, and Sotirios V. Archontoulis. ‘Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms’. Environmental Research Letters 14, no. 12 (December 2019): 124026. https://doi.org/10.1088/1748-9326/ab5268.
Shelia, Vakhtang, James Hansen, Vaishali Sharda, Cheryl Porter, Pramod Aggarwal, Carol J. Wilkerson, and Gerrit Hoogenboom. ‘A Multi-Scale and Multi-Model Gridded Framework for Forecasting Crop Production, Risk Analysis, and Climate Change Impact Studies’. Environmental Modelling & Software 115 (May 2019): 144–54. https://doi.org/10.1016/j.envsoft.2019.02.006.
Sheng, Meiling, Junzhi Liu, A.-Xing Zhu, David G. Rossiter, Haoran Liu, Zhangcong Liu, and Liming Zhu. ‘Comparison of GLUE and DREAM for the Estimation of Cultivar Parameters in the APSIM-Maize Model’. Agricultural and Forest Meteorology 278 (15 November 2019): 107659. https://doi.org/10.1016/j.agrformet.2019.107659.
Singh, Balwinder, A. J. McDonald, Virender Kumar, S. P. Poonia, A. K. Srivastava, and R. K. Malik. ‘Taking the Climate Risk out of Transplanted and Direct Seeded Rice: Insights from Dynamic Simulation in Eastern India.’ Field Crops Research 239 (2019): 92–103. https://doi.org/10.1016/j.fcr.2019.05.014.
Smethurst, P. J., N. Huth, and A. Dilla. ‘Plot-Scale Biophysical Modelling of Tree-Crop Interactions Using APSIM.’ 4th World Congress of Agroforestry, Montpellier, France, 20-22 May 2019. Posters, 2019, L24.P.14-L24.P.14.
Sun, Hongyong, Xiying Zhang, Xiujing Liu, Xiuwei Liu, Liwei Shao, Suying Chen, Jintao Wang, and Xinliang Dong. ‘Impact of Different Cropping Systems and Irrigation Schedules on Evapotranspiration, Grain Yield and Groundwater Level in the North China Plain’. Agricultural Water Management 211 (1 January 2019): 202–9. https://doi.org/10.1016/j.agwat.2018.09.046.
Sun, Shuang, Xiaoguang Yang, Xiaomao Lin, Jin Zhao, Zhijuan Liu, Tianyi Zhang, and Wenjuan Xie. ‘Seasonal Variability in Potential and Actual Yields of Winter Wheat in China’. Field Crops Research 240 (1 July 2019): 1–11. https://doi.org/10.1016/j.fcr.2019.05.016.
Tang, Jianzhao, Jing Wang, Quanxiao Fang, Buddhi Dayananda, Qiang Yu, Peiyi Zhao, Hong Yin, and Xuebiao Pan. ‘Identifying Agronomic Options for Better Potato Production and Conserving Water Resources in the Agro-Pastoral Ecotone in North China’. Agricultural and Forest Meteorology 272 (15 July 2019): 91–101. https://doi.org/10.1016/j.agrformet.2019.04.001.
Tesfahunegn, Gebreyesus Brhane. ‘Nutrient Response Functions of Tef Crop in Different Agro Ecological Zones of Ethiopia’. Geoderma Regional 16 (March 2019): UNSP e00208. https://doi.org/10.1016/j.geodrs.2019.e00208.
Verburg, K., M. P. Vilas, J. S. Biggs, P. J. Thorburn, and G. D. Bonnett. ‘Use of “virtual” Trials to Fill Gaps in Experimental Evidence on Enhanced Efficiency Fertilisers.’ Edited by P. G. Allsopp. Proceedings of the 2019 Conference of the Australian Society of Sugar Cane Technologists, Held at Toowoomba, Queensland, Australia, 30 April-3 May 2019, 2019, 383–93.
Vogeler, Iris, Sam Carrick, Rogerio Cichota, and Linda Lilburne. ‘Estimation of Soil Subsurface Hydraulic Conductivity Based on Inverse Modelling and Soil Morphology’. Journal of Hydrology 574 (July 2019): 373–82. https://doi.org/10.1016/j.jhydrol.2019.04.002.
Vogeler, Iris, Rogerio Cichota, Ingrid K. Thomsen, Sander Bruun, Lars Stoumann Jensen, and Johannes W. M. Pullens. ‘Estimating Nitrogen Release from Brassicacatch Crop Residues-Comparison of Different Approaches within the APSIM Model’. Soil & Tillage Research 195 (December 2019): 104358. https://doi.org/10.1016/j.still.2019.104358.
Vogeler, Iris, Steve Thomas, and Tony van der Weerden. ‘Effect of Irrigation Management on Pasture Yield and Nitrogen Losses’. Agricultural Water Management 216 (1 May 2019): 60–69. https://doi.org/10.1016/j.agwat.2019.01.022.
Waldner, Francois, Heidi Horan, Yang Chen, and Zvi Hochman. ‘High Temporal Resolution of Leaf Area Data Improves Empirical Estimation of Grain Yield’. Scientific Reports 9 (31 October 2019): 15714. https://doi.org/10.1038/s41598-019-51715-7.
Wang, Bin, Puyu Feng, Chao Chen, De Li Liu, Cathy Waters, and Qiang Yu. ‘Designing Wheat Ideotypes to Cope with Future Changing Climate in South-Eastern Australia’. Agricultural Systems 170 (March 2019): 9–18. https://doi.org/10.1016/j.agsy.2018.12.005.
Wang, Bin, De Li Liu, Jason P. Evans, Fei Ji, Cathy Waters, Ian Macadam, Puyu Feng, and Kathleen Beyer. ‘Modelling and Evaluating the Impacts of Climate Change on Three Major Crops in South-Eastern Australia Using Regional Climate Model Simulations’. Theoretical and Applied Climatology 138, no. 1–2 (October 2019): 509–26. https://doi.org/10.1007/s00704-019-02843-7.
Wang, Enli, Hamish E. Brown, Greg J. Rebetzke, Zhigan Zhao, Bangyou Zheng, and Scott C. Chapman. ‘Improving Process-Based Crop Models to Better Capture Genotypexenvironmentxmanagement Interactions’. Journal of Experimental Botany 70, no. 9 (15 April 2019): 2389–2401. https://doi.org/10.1093/jxb/erz092.
Wu, Lu, Liping Feng, Yizhuo Li, Jing Wang, and Lianhai Wu. ‘A Yield-Related Agricultural Drought Index Reveals Spatio-Temporal Characteristics of Droughts in Southwestern China’. Sustainability 11, no. 3 (1 February 2019): 714. https://doi.org/10.3390/su11030714.
Wu, Renye, Roger Lawes, Yvette Oliver, Andrew Fletcher, and Chao Chen. ‘How Well Do We Need to Estimate Plant-Available Water Capacity to Simulate Water-Limited Yield Potential?’ Agricultural Water Management 212 (1 February 2019): 441–47. https://doi.org/10.1016/j.agwat.2018.09.029.
Wu, Yushan, Enli Wang, Di He, Xin Liu, Sotirios Archontoulis, Neil Huth, Zhigan Zhao, Wanzhuo Gong, and Wenyu Yang. ‘Combine Observational Data and Modelling to Quantify Cultivar Differences of Soybean’. European Journal of Agronomy 111 (November 2019): UNSP 125940. https://doi.org/10.1016/j.eja.2019.125940.
XiangNa, Kong, Zhao JunFang, Xu Hui, and Xu JingWen. ‘Assessment of the Direct Radiation Effect of Atmospheric Aerosol on Maize Yield in China by Using APSIM Model.’ Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture 27, no. 7 (2019): 994–1003.
Xin, Yue, and Fulu Tao. ‘Optimizing Genotype-Environment-Management Interactions to Enhance Productivity and Eco-Efficiency for Wheat-Maize Rotation in the North China Plain’. Science of the Total Environment 654 (1 March 2019): 480–92. https://doi.org/10.1016/j.scitotenv.2018.11.126.
Yang, Li, Wang Jing, Tang JianZhao, Huang MingXia, Bai HuiQing, Wang Na, and He FuWei. ‘Coupling Impacts of Planting Date and Cultivar on Potato Yield.’ Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture 27, no. 2 (2019): 296–304.
Yang, Xiaoya, Jun Li, Qiang Yu, Yuchun Ma, Xiaojuan Tong, Yan Feng, and Yingxiang Tong. ‘Impacts of Diffuse Radiation Fraction on Light Use Efficiency and Gross Primary Production of Winter Wheat in the North China Plain’. Agricultural and Forest Meteorology 275 (15 September 2019): 233–42. https://doi.org/10.1016/j.agrformet.2019.05.028.
Zeleke, Ketema, and Claas Nendel. ‘Growth and Yield Response of Faba Bean to Soil Moisture Regimes and Sowing Dates: Field Experiment and Modelling Study’. Agricultural Water Management 213 (1 March 2019): 1063–77. https://doi.org/10.1016/j.agwat.2018.12.023.
Zhang, Airong, Zvi Hochman, Heidi Horan, Javier Garcia Navarro, Bianca Tara Das, and Francois Waldner. ‘Socio-Psychological and Management Drivers Explain Farm Level Wheat Yield Gaps in Australia’. Agronomy for Sustainable Development 39, no. 1 (February 2019): 10. https://doi.org/10.1007/s13593-019-0556-4.
Zhang, Yue, Lizhen Zhang, Ning Yang, Neil Huth, Enli Wang, Wopke van der Werf, Jochem B. Evers, et al. ‘Optimized Sowing Time Windows Mitigate Climate Risks for Oats Production under Cool Semi-Arid Growing Conditions’. Agricultural and Forest Meteorology 266 (15 March 2019): 184–97. https://doi.org/10.1016/j.agrformet.2018.12.019.
Zhao, Jin, and Xiaoguang Yang. ‘Spatial Patterns of Yield-Based Cropping Suitability and Its Driving Factors in the Three Main Maize-Growing Regions in China’. International Journal of Biometeorology 63, no. 12 (December 2019): 1659–68. https://doi.org/10.1007/s00484-019-01783-1.
Zhao, Zhigan, Greg J. Rebetzke, Bangyou Zheng, Scott C. Chapman, and Enli Wang. ‘Modelling Impact of Early Vigour on Wheat Yield in Dryland Regions’. Journal of Experimental Botany 70, no. 9 (15 April 2019): 2535–48. https://doi.org/10.1093/jxb/erz069.
2018
Ahmed, M., Ijaz, W., Ahmad, S., 2018a. Adapting and evaluating APSIM-SoilP-Wheat model for response to phosphorus under rainfed conditions of Pakistan. Journal of Plant Nutrition 41, 2069–2084. https://doi.org/10.1080/01904167.2018.1485933
Ahmed, M., Ijaz, W., Ahmad, S., 2018b. Adapting and evaluating APSIM-SoilP-Wheat model for response to phosphorus under rainfed conditions of Pakistan. Journal of Plant Nutrition 41, 2069–2084. https://doi.org/10.1080/01904167.2018.1485933
Aller, D.M., Archontoulis, S.V., Zhang, W., Sawadgo, W., Laird, D.A., Moore, K., 2018. Long term biochar effects on corn yield, soil quality and profitability in the US Midwest. Field Crops Research 227, 30–40. https://doi.org/10.1016/j.fcr.2018.07.012
An-Vo, D.-A., Mushtaq, S., BangYou, Z., Christopher, J.T., Chapman, S.C., Chenu, K., 2018a. Direct and indirect costs of frost in the Australian wheatbelt. Ecological Economics 150, 122–136. https://doi.org/10.1016/j.ecolecon.2018.04.008
An-Vo, D.-A., Mushtaq, S., Zheng, B., Christopher, J.T., Chapman, S.C., Chenu, K., 2018b. Direct and Indirect Costs of Frost in the Australian Wheatbelt. Ecological Economics 150, 122–136. https://doi.org/10.1016/j.ecolecon.2018.04.008
Battisti, R., Sentelhas, P.C., Boote, K.J., 2018. Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil. International Journal of Biometeorology 62, 823–832. https://doi.org/10.1007/s00484-017-1483-1
Battisti, Rafael, Sentelhas, P.C., Parker, P.S., Nendel, C., Camara, G.M.D.S., Farias, J.R.B., Basso, C.J., 2018. Assessment of crop-management strategies to improve soybean resilience to climate change in Southern Brazil. Crop & Pasture Science 69, 154–162. https://doi.org/10.1071/CP17293
Brown, H., Carrick, S., Mueller, K., Thomas, S., Sharp, J., Cichota, R., Holzworth, D., Clothier, B., 2018a. Modelling soil-water dynamics in the rootzone of structured and water-repellent soils. Computers & Geosciences 113, 33–42. https://doi.org/10.1016/j.cageo.2018.01.014
Brown, H., Huth, N., Holzworth, D., 2018b. Crop model improvement in APSIM: Using wheat as a case study. European Journal of Agronomy 100, 141–150. https://doi.org/10.1016/j.eja.2018.02.002
Brown, J.N., Hochman, Z., Holzworth, D., Horan, H., 2018. Seasonal climate forecasts provide more definitive and accurate crop yield predictions. Agricultural and Forest Meteorology 260, 247–254. https://doi.org/10.1016/j.agrformet.2018.06.001
Cichota, R., Vogeler, I., 2018. Response to “Comments on ‘Linking Land Use Capability classes and APSIM to estimate pasture growth for regional planning’ in Soil Research 54, 94-110 (2016).” Soil Research 56, 216–217. https://doi.org/10.1071/SR18023
Cichota, R., Vogeler, I., Snow, V., Shepherd, M., McAuliffe, R., Welten, B., 2018a. Lateral spread affects nitrogen leaching from urine patches. Science of the Total Environment 635, 1392–1404. https://doi.org/10.1016/j.scitotenv.2018.04.005
Cichota, R., Vogeler, I., Werner, A., Wigley, K., Paton, B., 2018b. Performance of a fertiliser management algorithm to balance yield and nitrogen losses in dairy systems. Agricultural Systems 162, 56–65. https://doi.org/10.1016/j.agsy.2018.01.017
Corbeels, M., Berre, D., Rusinamhodzi, L., Lopez-Ridaura, S., 2018. Can we use crop modelling for identifying climate change adaptation options? Agricultural and Forest Meteorology 256, 46–52. https://doi.org/10.1016/j.agrformet.2018.02.026
Deihimfard, R., Eyni-Nargeseh, F., Mokhtassi-Bidgoli, A., 2018. Effect of Future Climate Change on Wheat Yield and Water Use Efficiency Under Semi-arid Conditions as Predicted by APSIM-Wheat Model. International Journal of Plant Production 12, 115–125. https://doi.org/10.1007/s42106-018-0012-4
Descheemaeker, K., Zijlstra, M., Masikati, P., Crespo, O., Tui, S.H.-K., 2018. Effects of climate change and adaptation on the livestock component of mixed farming systems: A modelling study from semi-arid Zimbabwe. Agricultural Systems 159, 282–295. https://doi.org/10.1016/j.agsy.2017.05.004
Dias, H.B., Sentelhas, P.C., 2018a. Drying-Off Periods for Irrigated Sugarcane to Maximize Sucrose Yields Under Brazilian Conditions. Irrigation and Drainage 67, 527–537. https://doi.org/10.1002/ird.2263
Dias, H.B., Sentelhas, P.C., 2018b. Sugarcane yield gap analysis in Brazil – A multi-model approach for determining magnitudes and causes. Science of the Total Environment 637, 1127–1136. https://doi.org/10.1016/j.scitotenv.2018.05.017
Dilla, A., Smethurst, P.J., Barry, K., Parsons, D., Denboba, M., 2018. Potential of the APSIM model to simulate impacts of shading on maize productivity. Agroforestry Systems 92, 1699–1709. https://doi.org/10.1007/s10457-017-0119-0
Dixit, P.N., Telleria, R., Al Khatib, A.N., Allouzi, S.F., 2018. Decadal analysis of impact of future climate on wheat production in dry Mediterranean environment: A case of Jordan. Science of the Total Environment 610, 219–233. https://doi.org/10.1016/j.scitotenv.2017.07.270
Dokoohaki, H., Miguez, F.E., Archontoulis, S., Laird, D., 2018. Use of inverse modelling and Bayesian optimization for investigating the effect of biochar on soil hydrological properties. Agricultural Water Management 208, 268–274. https://doi.org/10.1016/j.agwat.2018.06.034
Dreccer, M.F., Fainges, J., Whish, J., Ogbonnaya, F.C., Sadras, V.O., 2018. Comparison of sensitive stages of wheat, barley, canola, chickpea and field pea to temperature and water stress across Australia. Agricultural and Forest Meteorology 248, 275–294. https://doi.org/10.1016/j.agrformet.2017.10.006
Fan, D., Yang, F., Pan, Z., Su, X., Pan, Y., Han, G., Wang, J., Wu, D., Dong, Z., 2018. Development of an Improved Model to Evaluate Vulnerability in Spring Wheat under Climate Change in Inner Mongolia. Sustainability 10, 4581. https://doi.org/10.3390/su10124581
Garcia, G.A., Miralles, D.J., Serrago, R.A., Alzueta, I., Huth, N., Fernanda Dreccer, M., 2018. Warm nights in the Argentine Pampas: Modelling its impact on wheat and barley shows yield reductions. Agricultural Systems 162, 259–268. https://doi.org/10.1016/j.agsy.2017.12.009
George, N., Thompson, S.E., Hollingsworth, J., Orloff, S., Kaffka, S., 2018. Measurement and simulation of water-use by canola and camelina under cool-season conditions in California. Agricultural Water Management 196, 15–23. https://doi.org/10.1016/j.agwat.2017.09.015
Hochman, Z., Horan, H., 2018. Causes of wheat yield gaps and opportunities to advance the water-limited yield frontier in Australia. Field Crops Research 228, 20–30. https://doi.org/10.1016/j.fcr.2018.08.023
Hoffmann, M.P., Isselstein, J., Roetter, R.P., Kayser, M., 2018a. Nitrogen management in crop rotations after the break-up of grassland: Insights from modelling. Agriculture Ecosystems & Environment 259, 28–44. https://doi.org/10.1016/j.agee.2018.02.009
Hoffmann, M.P., Odhiambo, J.J.O., Koch, M., Ayisi, K.K., Zhao, G., Soler, A.S., Roetter, R.P., 2018b. Exploring adaptations of groundnut cropping to prevailing climate variability and extremes in Limpopo Province, South Africa. Field Crops Research 219, 1–13. https://doi.org/10.1016/j.fcr.2018.01.019
Holzworth, D., Huth, N.I., Fainges, J., Brown, H., Zurcher, E., Cichota, R., Verrall, S., Herrmann, N.I., Zheng, B., Snow, V., 2018. APSIM Next Generation: Overcoming challenges in modernising a farming systems model. Environmental Modelling & Software 103, 43–51. https://doi.org/10.1016/j.envsoft.2018.02.002
Houshmandfar, A., Fitzgerald, G.J., O’Leary, G., Tausz-Posch, S., Fletcher, A., Tausz, M., 2018. The relationship between transpiration and nutrient uptake in wheat changes under elevated atmospheric CO2. Physiologia Plantarum 163, 516–529. https://doi.org/10.1111/ppl.12676
Hussain, J., Khaliq, T., Ahmad, A., Akhtar, J., 2018a. Genetic coefficients of wheat models CERES-Wheat, DSSAT-Nwheat, CROPSIM-Wheat and APSIM-Wheat for cultivars Lasani-2008, Punjab-2011 and Galaxy-2013. Figshare. http://dx.doi.org/10.1371/journal.pone.0197546.t001
Hussain, J., Khaliq, T., Ahmad, A., Akhtar, J., 2018b. Index of agreement (d) of Days to anthesis and maturity, grain and biological yield and leaf area index maximum of CROPSIM-Wheat, CERES-Wheat, DSSAT-Nwheat and APSIM-Wheat with observed data during 2013-14 and 2014-15 at faisalabad. Figshare. http://dx.doi.org/10.1371/journal.pone.0197546.t004
Hussain, J., Khaliq, T., Ahmad, A., Akhtar, J., 2018c. Normalized root mean square error (%) of days to anthesis and maturity, grain and biological yield and leaf area index maximum of CROPSIM-Wheat, CERES-Wheat, DSSAT-Nwheat and APSIM-Wheat with observed data during 2013-14 and 2014-15 at Faisalabad. Figshare. http://dx.doi.org/10.1371/journal.pone.0197546.t003
Hussain, J., Khaliq, T., Ahmad, A., Akhtar, J., 2018d. Percentage differences (%) between observed and simulated data of four models CROPSIM-Wheat, CERES-Wheat, DSSAT-Nwheat and APSIM-Wheat for calibration of cultivars coefficients of Lasani-2008, Punjab-2011 and Galaxy-2013. Figshare. http://dx.doi.org/10.1371/journal.pone.0197546.t002
Hussain, J., Khaliq, T., Ahmad, A., Akhtar, J., 2018e. Performance of four crop model for simulations of wheat phenology, leaf growth, biomass and yield across planting dates. Plos One 13, e0197546. https://doi.org/10.1371/journal.pone.0197546
Hussain, J., Khaliq, T., Ahmad, A., Akhtar, J., 2018f. Performance of four crop model for simulations of wheat phenology, leaf growth, biomass and yield across planting dates. PLoS ONE 13, e0197546–e0197546. https://doi.org/10.1371/journal.pone.0197546
Jesus Ojeda, J., Pedro Caviglia, O., Nicolas Irisarri, J.G., Graciela Agnusdei, M., 2018. Modelling inter-annual variation in dry matter yield and precipitation use efficiency of perennial pastures and annual forage crops sequences. Agricultural and Forest Meteorology 259, 1–10. https://doi.org/10.1016/j.agrformet.2018.04.014
Jin, Z., Ainsworth, E.A., Leakey, A.D.B., Lobell, D.B., 2018. Increasing drought and diminishing benefits of elevated carbon dioxide for soybean yields across the US Midwest. Global Change Biology 24, E522–E533. https://doi.org/10.1111/gcb.13946
Jun, M., Inman-Bamber, N.G., Xin, L., Jackson, P.A., Jing, W., JiaYong, L., YuanHong, F., 2018. Adaptability of APSIM-Sugar model in semihumid-semiarid climate region of Yunnan province. Southwest China Journal of Agricultural Sciences 31, 2506–2513.
Kabir, M.J., Cramb, R., Gaydon, D.S., Roth, C.H., 2018a. Bio-economic evaluation of cropping systems for saline coastal Bangladesh: III Benefits of adaptation in current and future environments. Agricultural Systems 161, 28–41. https://doi.org/10.1016/j.agsy.2017.12.006
Kabir, M.J., Gaydon, D.S., Cramb, R., Roth, C.H., 2018b. Bio-economic evaluation of cropping systems for saline coastal Bangladesh: I. Biophysical simulation in historical and future environments. Agricultural Systems 162, 107–122. https://doi.org/10.1016/j.agsy.2018.01.027
Kandulu, J., Thorburn, P., Biggs, J., Verburg, K., 2018. Estimating economic and environmental trade-offs of managing nitrogen in Australian sugarcane systems taking agronomic risk into account. Journal of Environmental Management 223, 264–274. https://doi.org/10.1016/j.jenvman.2018.06.023
Kim, K.S., Yoo, B.H., Shelia, V., Porter, C.H., Hoogenboom, G., 2018. START: A data preparation tool for crop simulation models using web-based soil databases. Computers and Electronics in Agriculture 154, 256–264. https://doi.org/10.1016/j.compag.2018.08.023
Lain, A.M., Roth, C.H., Chialue, L., Gaydon, D.S., Grunbuhel, C.M., Inthavong, T., Phengvichith, V., Schiller, J., Sipaseuth, Thiravong, K., Williams, L.J., 2018. Mechanised dry seeding is an adaptation strategy for managing climate risks and reducing labour costs in rainfed rice production in lowland Lao PDR. Field Crops Research 225, 32–46. https://doi.org/10.1016/j.fcr.2018.05.020
Lee, S.K., Dang, T.A., 2018. Predicting future water demand for Long Xuyen Quadrangle under the impact of climate variability. Acta Geophysica 66, 1081–1092. https://doi.org/10.1007/s11600-018-0176-4
Levitan, N., Gross, B., 2018. Utilizing Collocated Crop Growth Model Simulations to Train Agronomic Satellite Retrieval Algorithms. Remote Sensing 10, 1968. https://doi.org/10.3390/rs10121968
Li, Zhenhai, He, J., Xu, X., Jin, X., Huang, W., Clark, B., Yang, G., Li, Zhenhong, 2018. Estimating genetic parameters of DSSAT-CERES model with the GLUE method for winter wheat (Triticum aestivum L.) production. Computers and Electronics in Agriculture 154, 213–221. https://doi.org/10.1016/j.compag.2018.09.009
Luetkemeier, R., Stein, L., Drees, L., Mueller, H., Liehr, S., 2018. Uncertainty of Rainfall Products: Impact on Modelling Household Nutrition from Rain-Fed Agriculture in Southern Africa. Water 10, 499. https://doi.org/10.3390/w10040499
Luo, J., Shen, Y., Qi, Y., Zhang, Y., Xiao, D., 2018. Evaluating water conservation effects due to cropping system optimization on the Beijing-Tianjin-Hebei plain, China. Agricultural Systems 159, 32–41. https://doi.org/10.1016/j.agsy.2017.10.002
Luo, Q., O’Leary, G., Cleverly, J., Eamus, D., 2018a. Effectiveness of time of sowing and cultivar choice for managing climate change: wheat crop phenology and water use efficiency. International Journal of Biometeorology 62, 1049–1061. https://doi.org/10.1007/s00484-018-1508-4
Luo, Q., Trethowan, R., Tan, D.K.Y., 2018b. Managing the risk of extreme climate events in Australian major wheat production systems. International Journal of Biometeorology 62, 1685–1694. https://doi.org/10.1007/s00484-018-1568-5
Lynn, I.H., 2018. Comments on “Linking Land Use Capability classes and APSIM to estimate pasture growth for regional planning” in Soil Research 54, 94-110 (2016). Soil Research 56, 215–215. https://doi.org/10.1071/SR17166
Maharjan, G.R., Prescher, A.-K., Nendel, C., Ewert, F., Mboh, C.M., Gaiser, T., Seidel, S.J., 2018. Approaches to model the impact of tillage implements on soil physical and nutrient properties in different agro-ecosystem models. Soil & Tillage Research 180, 210–221. https://doi.org/10.1016/j.still.2018.03.009
Mao, J., Inman-Bamber, N.G., Lu, X., Jackson, P.A., Wang, J., Liu, J., Fan, Y., 2018. Adaptability of APSIM-sugar model in semihumid-semiarid climate region of Yunnan province. Southwest China Journal of Agricultural Sciences 31, 2506–2513. https://doi.org/10.16213/j.cnki.scjas.2018.12.010
Martinez-Feria, R., 2018a. Rmartinezferia/Apssurgo: Ph.D. Dissertation Release. Zenodo v1.0.0. http://dx.doi.org/10.5281/ZENODO.1467205
Martinez-Feria, R., 2018b. Rmartinezferia/Apssurgo: Ph.D. Dissertation Release. Zenodo v1.0.0. http://dx.doi.org/10.5281/ZENODO.1467204
Martinez-Feria, R.A., Castellano, M.J., Dietzel, R.N., Helmers, M.J., Liebman, M., Huber, I., Archontoulis, S.V., 2018. Linking crop- and soil-based approaches to evaluate system nitrogen-use efficiency and tradeoffs. Agriculture Ecosystems & Environment 256, 131–143. https://doi.org/10.1016/j.agee.2018.01.002
Masjedi, A., Zhao, J., Thompson, A.M., Yang, K.-W., Flatt, J.E., Crawford, M.M., Ebert, D.S., Tuinstra, M.R., Hammer, G., Chapman, S., 2018. SORGHUM BIOMASS PREDICTION USING UAV-BASED REMOTE SENSING DATA AND CROP MODEL SIMULATION, in: Igarss 2018 – 2018 Ieee International Geoscience and Remote Sensing Symposium. pp. 7719–7722.
Masvaya, E.N., Nyamangara, J., Giller, K.E., Descheemaeker, K., 2018. Risk management options in maize cropping systems in semi-arid areas of Southern Africa. Field Crops Research 228, 110–121. https://doi.org/10.1016/j.fcr.2018.09.002
Messina, C.D., Technow, F., Tang, T., Totir, R., Gho, C., Cooper, M., 2018. Leveraging biological insight and environmental variation to improve phenotypic prediction: Integrating crop growth models (CGM) with whole genome prediction (WGP). European Journal of Agronomy 100, 151–162. https://doi.org/10.1016/j.eja.2018.01.007
MingXia, H., Jing, W., JianZhao, T., QuanXiao, F., JianPing, Z., HuiQing, B., Na, W., Yang, L., BingJie, W., JunQing, Z., XueBiao, P., 2018. Analysis of interaction of sowing date, irrigation and nitrogen application on yield of oil sunflower based on APSIM model. Transactions of the Chinese Society of Agricultural Engineering 34, 134–143.
Ndoli, A., 2018. Farming with trees: a balancing act in the shade.
Nezomba, H., Mtambanengwe, F., Rurinda, J., Mapfumo, P., 2018. Integrated soil fertility management sequences for reducing climate risk in smallholder crop production systems in southern Africa. Field Crops Research 224, 102–114. https://doi.org/10.1016/j.fcr.2018.05.003
Ojeda, J. J., Pembleton, K.G., Caviglia, O.P., Islam, M.R., Agnusdei, M.G., Garcia, S.C., 2018. yy Modelling forage yield and water productivity of continuous crop sequences in the Argentinian Pampas. European Journal of Agronomy 92, 84–96. https://doi.org/10.1016/j.eja.2017.10.004
Ojeda, Jonathan J., Volenec, J.J., Brouder, S.M., Caviglia, O.P., Agnusdei, M.G., 2018. Modelling stover and grain yields, and subsurface artificial drainage from long-term corn rotations using APSIM. Agricultural Water Management 195, 154–171. https://doi.org/10.1016/j.agwat.2017.10.010
Peake, A.S., Das, B.T., Bell, K.L., Gardner, M., Poole, N., 2018. Effect of variable crop duration on grain yield of irrigated spring-wheat when flowering is synchronised. Field Crops Research 228, 183–194. https://doi.org/10.1016/j.fcr.2018.09.004
Peng, B., Guan, K., Chen, M., Lawrence, D.M., Pokhrel, Y., Suyker, A., Arkebauer, T., Lu, Y., 2018. Improving maize growth processes in the community land model: Implementation and evaluation. Agricultural and Forest Meteorology 250, 64–89. https://doi.org/10.1016/j.agrformet.2017.11.012
Phelan, D.C., Harrison, M.T., McLean, G., Cox, H., Pembletond, K.G., Dean, G.J., Parsons, D., Richter, M.E. do A., Pengilley, G., Hinton, S.J., Mohammed, C.L., 2018. Advancing a farmer decision support tool for agronomic decisions on rainfed and irrigated wheat cropping in Tasmania. Agricultural Systems 167, 113–124. https://doi.org/10.1016/j.agsy.2018.09.003
Puntel, L.A., Sawyer, J.E., Barker, D.W., Thorburn, P.J., Castellano, M.J., Moore, K.J., VanLoocke, A., Heaton, E.A., Archontoulis, S.V., 2018a. A Systems Modeling Approach to Forecast Corn Economic Optimum Nitrogen Rate. Frontiers in Plant Science 9, 436. https://doi.org/10.3389/fpls.2018.00436
Puntel, L.A., Sawyer, J.E., Barker, D.W., Thorburn, P.J., Castellano, M.J., Moore, K.J., VanLoocke, A., Heaton, E.A., Archontoulis, S.V., 2018b. DataSheet1.pdf. Figshare. http://dx.doi.org/10.3389/fpls.2018.00436.s001
Radanielson, A.M., Gaydon, D.S., Li, T., Angeles, O., Roth, C.H., 2018. Modeling salinity effect on rice growth and grain yield with ORYZA v3 and APSIM-Oryza. European Journal of Agronomy 100, 44–55. https://doi.org/10.1016/j.eja.2018.01.015
Rahimi-Moghaddam, S., Kambouzia, J., Deihimfard, R., 2018. Adaptation strategies to lessen negative impact of climate change on grain maize under hot climatic conditions: A model-based assessment. Agricultural and Forest Meteorology 253, 1–14. https://doi.org/10.1016/j.agrformet.2018.01.032
Ratjen, A.M., Lemaire, G., Kage, H., Plenet, D., Justes, E., 2018. Key variables for simulating leaf area and N status: Biomass based relations versus phenology driven approaches. European Journal of Agronomy 100, 110–117. https://doi.org/10.1016/j.eja.2018.04.008
Rodriguez, D., de Voil, P., Hudson, D., Brown, J.N., Hayman, P., Marrous, H., Meinke, H., 2018. Predicting optimum crop designs using crop models and seasonal climate forecasts. Scientific Reports 8, 2231. https://doi.org/10.1038/s41598-018-20628-2
Roetter, R.P., Appiah, M., Fichtler, E., Kersebaum, K.C., Trnka, M., Hoffmann, M.P., 2018. Linking modelling and experimentation to better capture crop impacts of agroclimatic extremes-A review. Field Crops Research 221, 142–156. https://doi.org/10.1016/j.fcr.2018.02.023
Ruan, H., Feng, P., Wang, B., Xing, H., O’Leary, G.J., Huang, Z., Guo, H., Liu, D.L., 2018. Future climate change projects positive impacts on sugarcane productivity in southern China. European Journal of Agronomy 96, 108–119. https://doi.org/10.1016/j.eja.2018.03.007
Seyoum, S., Rachaputi, R., Chauhan, Y., Prasanna, B., Fekybelu, S., 2018. Application of the APSIM model to exploit G x E x M interactions for maize improvement in Ethiopia. Field Crops Research 217, 113–124. https://doi.org/10.1016/j.fcr.2017.12.012
Sida, T.S., Baudron, F., HaeKoo, K., Giller, K.E., 2018a. Climate-smart agroforestry: Faidherbia albida trees buffer wheat against climatic extremes in the Central Rift Valley of Ethiopia. Agricultural and Forest Meteorology 248, 339–347. https://doi.org/10.1016/j.agrformet.2017.10.013
Sida, T.S., Baudron, F., Kim, H., Giller, K.E., 2018b. Climate-smart agroforestry: Faidherbia albida trees buffer wheat against climatic extremes in the Central Rift Valley of Ethiopia. Agricultural and Forest Meteorology 248, 339–347. https://doi.org/10.1016/j.agrformet.2017.10.013
Silungwe, F.R., Graef, F., Bellingrath-Kimura, S.D., Tumbo, S.D., Kahimba, F.C., Lana, M.A., 2018. Crop Upgrading Strategies and Modelling for Rainfed Cereals in a Semi-Arid Climate-A Review. Water 10, 356. https://doi.org/10.3390/w10040356
Snapp, S.S., Grabowski, P., Chikowo, R., Smith, A., Anders, E., Sirrine, D., Chimonyo, V., Bekunda, M., 2018. Maize yield and profitability tradeoffs with social, human and environmental performance: Is sustainable intensification feasible? Agricultural Systems 162, 77–88. https://doi.org/10.1016/j.agsy.2018.01.012
Som-ard, J., Hossain, M.D., Ninsawat, S., Veerachitt, V., 2018. Pre-harvest Sugarcane Yield Estimation Using UAV-Based RGB Images and Ground Observation. Sugar Tech 20, 645–657. https://doi.org/10.1007/s12355-018-0601-7
Soufizadeh, S., Munaro, E., McLean, G., Massignam, A., van Oosterom, E.J., Chapman, S.C., Messina, C., Cooper, M., Hammer, G.L., 2018. Modelling the nitrogen dynamics of maize crops – Enhancing the APSIM maize model. European Journal of Agronomy 100, 118–131. https://doi.org/10.1016/j.eja.2017.12.007
Sparks, A.H., 2018a. Adamhsparks/Nasapower: Boston. Zenodo v1.0.0.9001. http://dx.doi.org/10.5281/ZENODO.1318733
Sparks, A.H., 2018b. Ropensci/Nasapower: Surrey Hills. Zenodo 1.0.1. http://dx.doi.org/10.5281/ZENODO.1462870
Sun, S., Yang, X., Lin, X., Sassenrath, G.F., Li, K., 2018a. Climate-smart management can further improve winter wheat yield in China. Agricultural Systems 162, 10–18. https://doi.org/10.1016/j.agsy.2018.01.010
Sun, S., Yang, X., Lin, X., Sassenrath, G.F., Li, K., 2018b. Winter Wheat Yield Gaps and Patterns in China. Agronomy Journal 110, 319–330. https://doi.org/10.2134/agronj2017.07.0417
Tang, J., Wang, J., Fang, Q., Wang, E., Yin, H., Pan, X., 2018. Optimizing planting date and supplemental irrigation for potato across the agro-pastoral ecotone in North China. European Journal of Agronomy 98, 82–94. https://doi.org/10.1016/j.eja.2018.05.008
Teixeira, E.I., Brown, H.E., Michel, A., Meenken, E., Hu, W., Thomas, S., Huth, N.I., Holzworth, D.P., 2018a. Field estimation of water extraction coefficients with APSIM-Slurp for water uptake assessments in perennial forages. Field Crops Research 222, 26–38. https://doi.org/10.1016/j.fcr.2018.03.011
Teixeira, E.I., de Ruiter, J., Ausseil, A.-G., Daigneault, A., Johnstone, P., Holmes, A., Tait, A., Ewert, F., 2018b. Adapting crop rotations to climate change in regional impact modelling assessments. Science of the Total Environment 616, 785–795. https://doi.org/10.1016/j.scitotenv.2017.10.247
Thomas, D.T., Moore, A.D., Bell, L.W., Webb, N.P., 2018. Ground cover, erosion risk and production implications of targeted management practices in Australian mixed farming systems: Lessons from the Grain and Graze program. Agricultural Systems 162, 123–135. https://doi.org/10.1016/j.agsy.2018.02.001
Thorburn, P. J., Biggs, J.S., Skocaj, D., Schroeder, B.L., Sexton, J., Everingham, Y.L., 2018a. Crop size and sugarcane nitrogen fertiliser requirements: Is there a link? International Sugar Journal 120, 792–797.
Thorburn, P. J., Biggs, J.S., Skocaj, D., Schroeder, B.L., Sexton, J., Everingham, Y.L., 2018b. Crop size and sugarcane nitrogen fertiliser requirements: is there a link? Proceedings of the 2018 Conference of the Australian Society of Sugar Cane Technologists, Mackay, Queensland, Australia, 18-20 April 2018 210–218.
Thorburn, Peter J., Boote, K.J., Nendel, C., Rotter, R.P., Ewert, F., 2018. Recent advances in crop modelling to support sustainable agricultural production and food security under global change. European Journal of Agronomy 100, 1–3. https://doi.org/10.1016/j.eja.2018.10.009
Verburg, K., Biggs, J.S., Thorburn, P.J., 2018. Why benefits from controlled release fertilisers can be lower than expected on some soils. International Sugar Journal 120, 936–945.
Vilvert, E., Lana, M., Zander, P., Sieber, S., 2018. Multi-model approach for assessing the sunflower food value chain in Tanzania. Agricultural Systems 159, 103–110. https://doi.org/10.1016/j.agsy.2017.10.014
Vogeler, I., Cichota, R., 2018. Effect of variability in soil properties plus model complexity on predicting topsoil water content and nitrous oxide emissions. Soil Research 56, 810–819. https://doi.org/10.1071/SR18080
Wallace, M., 2018. Spatializing the modelled impacts of future climate change – a case study on wheat in the Western Cape. South African Journal of Geomatics 7, 177–189. https://doi.org/10.4314/sajg.v7i2.6
Wang, B., Liu, D.L., O’Leary, G.J., Asseng, S., Macadam, I., Lines-Kelly, R., Yang, X., Clark, A., Crean, J., Sides, T., Xing, H., Mi, C., Yu, Q., 2018. Australian wheat production expected to decrease by the late 21st century. Global Change Biology 24, 2403–2415. https://doi.org/10.1111/gcb.14034
Wang, E., Smith, C.J., Macdonald, B.C.T., Hunt, J.R., Xing, H., Denmead, O.T., Zeglin, S., Zhao, Z., Isaac, P., 2018. Making sense of cosmic-ray soil moisture measurements and eddy covariance data with regard to crop water use and field water balance. Agricultural Water Management 204, 271–280. https://doi.org/10.1016/j.agwat.2018.04.017
Wang, G., Luo, Z., Wang, E., Zhang, W., 2018. Reducing greenhouse gas emissions while maintaining yield in the croplands of Huang-Huai-Hai Plain, China. Agricultural and Forest Meteorology 260, 80–94. https://doi.org/10.1016/j.agrformet.2018.06.003
Wang, N., Wang, E., Wang, J., Zhang, J., Zheng, B., Huang, Y., Tan, M., 2018. Modelling maize phenology, biomass growth and yield under contrasting temperature conditions. Agricultural and Forest Meteorology 250, 319–329. https://doi.org/10.1016/j.agrformet.2018.01.005
Western, A.W., Dassanayake, K.B., Perera, K.C., Argent, R.M., Alves, O., Young, G., Ryu, D., 2018. An evaluation of a methodology for seasonal soil water forecasting for Australian dry land cropping systems. Agricultural and Forest Meteorology 253, 161–175. https://doi.org/10.1016/j.agrformet.2018.02.012
Williams, A., Mushtaq, S., Kouadio, L., Power, B., Marcussen, T., McRae, D., Cockfield, G., 2018. An investigation of farm-scale adaptation options for cotton production in the face of future climate change and water allocation policies in southern Queensland, Australia. Agricultural Water Management 196, 124–132. https://doi.org/10.1016/j.agwat.2017.10.026
Xiao, D., Bai, H., Liu, D.L., 2018. Impact of Future Climate Change on Wheat Production: A Simulated Case for China’s Wheat System. Sustainability 10, 1277. https://doi.org/10.3390/su10041277
Yamusa, A.M., Akinseye, F.M., 2018. Evaluation of APSIM – Maize model under different sowing dates at Samaru, Nigeria. Journal of Agrometeorology 20, 206–210.
Yang, X., Zheng, L., Yang, Q., Wang, Z., Cui, S., Shen, Y., 2018. Modelling the effects of conservation tillage on crop water productivity, soil water dynamics and evapotranspiration of a maize-winter wheat-soybean rotation system on the Loess Plateau of China using APSIM. Agricultural Systems 166, 111–123. https://doi.org/10.1016/j.agsy.2018.08.005
Yue, L., Ling, W., ZhenNi, G., JunYi, N., 2018. Simulation model of photosynthesis and dry matter accumulation in oilseed flax based on APSIM. Acta Prataculturae Sinica 27, 57–66.
Zeleke, K.T., 2018. Effect of summer fallow management on crop yield: Field experiment and simulation analysis. Agricultural Water Management 203, 405–410. https://doi.org/10.1016/j.agwat.2018.03.032
Zhang, T., Yue, X., Li, T., Unger, N., Yang, X., 2018. Climate effects of stringent air pollution controls mitigate future maize losses in China. Environmental Research Letters 13, 124011. https://doi.org/10.1088/1748-9326/aaea09
Zhao, J., Yang, X., 2018. Distribution of high-yield and high-yield-stability zones for maize yield potential in the main growing regions in China. Agricultural and Forest Meteorology 248, 511–517. https://doi.org/10.1016/j.agrformet.2017.10.016
Zhao, J., Yang, X., Sun, S., 2018. Constraints on maize yield and yield stability in the main cropping regions in China. European Journal of Agronomy 99, 106–115. https://doi.org/10.1016/j.eja.2018.07.003
Zhao, Z., Qin, X., Wang, Z., Wang, E., 2018. Performance of different cropping systems across precipitation gradient in North China Plain. Agricultural and Forest Meteorology 259, 162–172. https://doi.org/10.1016/j.agrformet.2018.04.019
Zheng, B., Chapman, S., Chenu, K., 2018. The Value of Tactical Adaptation to El Nino-Southern Oscillation for East Australian Wheat. Climate 6, 77. https://doi.org/10.3390/cli6030077
ZhiGang, N., Guang, L., CuiPing, L., WeiWei, M., YongQiang, D., 2018. Parameter optimization in APSIM-based simulation model for yield formation of dryland wheat using shuffled frog leaping algorithm. Acta Agronomica Sinica 44, 1229–1236.
Zhi-juan, L., Xiao-guang, Y., Shuo, L., Jing, W., Xiao-mao, L., 2018. Spatial-temporal variations of spring maize potential yields in a changing climate in Northeast China. Yingyong Shengtai Xuebao 29, 103–112. https://doi.org/10.13287/j.1001-9332.201801.012
Zhu, R., Zheng, H., Wang, E., Jakeman, A.J., 2018. A hybrid process based-empirical approach to identify the association between wheat productivity and climate in the North China Plain during the past 50 years. Environmental Modelling & Software 108, 72–80. https://doi.org/10.1016/j.envsoft.2018.07.017
2017
Akinseye, F.M., Adam, M., Agele, S.O., Hoffmann, M.P., Traore, P.C.S., Whitbread, A.M., 2017. Assessing crop model improvements through comparison of sorghum (sorghum bicolor L. moench) simulation models: A case study of West African varieties. Field Crop. Res. 201, 19–31. https://doi.org/10.1016/j.fcr.2016.10.015
Amarasingha, R.P.R.K., Suriyagoda, L.D.B., Marambe, B., Rathnayake, W.M.U.I., Gaydon, D.S., Galagedara, L.W., Punyawardena, R., Silva, G.L.L.P., Nidumolu, U., Howden, M., 2017. Improving water productivity in moisture-limited rice-based cropping systems through incorporation of maize and mungbean: A modelling approach. Agric. Water Manage. 189, 111–122. https://doi.org/10.1016/j.agwat.2017.05.002
Araya, A., Kisekka, I., Girma, A., Hadgu, K.M., Tegebu, F.N., Kassa, A.H., Ferreira-Filho, H.R., Beltrao, N.E., Afewerk, A., Abadi, B., Tsehaye, Y., Martorano, L.G., Abraha, A.Z., 2017a. The challenges and opportunities for wheat production under future climate in Northern Ethiopia. J. Agric. Sci. 155, 379–393. https://doi.org/10.1017/S0021859616000460
Araya, A., Kisekka, I., Prasad, P.V.V., Holman, J., Foster, A.J., Lollato, R., 2017b. Assessing Wheat Yield, Biomass, and Water Productivity Responses to Growth Stage Based Irrigation Water Allocation. Trans. ASABE 60, 107–121. https://doi.org/10.13031/trans.11883
Bai, H., Tao, F., 2017. Sustainable intensification options to improve yield potential and ecoefficiency for rice-wheat rotation system in China. Field Crop. Res. 211, 89–105. https://doi.org/10.1016/j.fcr.2017.06.010
Battisti, R., Sentelhas, P.C., Boote, K.J., 2017. Inter-comparison of performance of soybean crop simulation models and their ensemble in southern Brazil. Field Crop. Res. 200, 28–37. https://doi.org/10.1016/j.fcr.2016.10.004
Baudracco, J., Maiztegui, J., Jauregui, J., Lazzarini, B., Rosset, A., Gagliardi, R., 2017. Productivity, Economic Results and Risk of Dairy Systems in Northern-Central Argentina. Chil. J. Agric. Anim. Sci. 33, 152–162.
Bourguignon, M., Archontoulis, S., Moore, K., Lenssen, A., 2017. A model for evaluating production and environmental performance of kenaf in rotation with conventional row crops. Ind. Crop. Prod. 100, 218–227. https://doi.org/10.1016/j.indcrop.2017.02.026
Brilli, L., Bechini, L., Bindi, M., Carozzi, M., Cavalli, D., Conant, R., Dorich, C.D., Doro, L., Ehrhardt, F., Farina, R., Ferrise, R., Fitton, N., Francaviglia, R., Grace, P., Iocola, I., Klumpp, K., Leonard, J., Martin, R., Massad, R.S., Recous, S., Seddaiu, G., Sharp, J., Smith, P., Smith, W.N., Soussana, J.-F., Bellocchi, G., 2017. Review and analysis of strengths and weaknesses of agro-ecosystem models for simulating C and N fluxes. Sci. Total Environ. 598, 445–470. https://doi.org/10.1016/j.scitotenv.2017.03.208
Chauhan, Y., Allard, S., Williams, R., Williams, B., Mundree, S., Chenu, K., Rachaputi, N.C., 2017. Characterisation of chickpea cropping systems in Australia for major abiotic production constraints. Field Crop. Res. 204, 120–134. https://doi.org/10.1016/j.fcr.2017.01.008
Chen, C., Fletcher, A., Lawes, R., Berger, J., Robertson, M., 2017a. Modelling phenological and agronomic adaptation options for narrow-leafed lupins in the southern grainbelt of Western Australia. Eur. J. Agron. 89, 140–147. https://doi.org/10.1016/j.eja.2017.05.005
Chen, C., Smith, A., Ward, P., Fletcher, A., Lawes, R., Norman, H., 2017b. Modelling the comparative growth, water use and productivity of the perennial legumes, tedera (Bituminaria bituminosa var. albomarginata) and lucerne (Medicago sativa) in dryland mixed farming systems. Crop Pasture Sci. 68, 643–656. https://doi.org/10.1071/CP17131
Dias, H.B., Sentelhas, P.C., 2017. Evaluation of three sugarcane simulation models and their ensemble for yield estimation in commercially managed fields. Field Crop. Res. 213, 174–185. https://doi.org/10.1016/j.fcr.2017.07.022
Dumbrell, N.P., Kragt, M.E., Meier, E.A., Biggs, J.S., Thorburn, P.J., 2017. Greenhouse gas abatement costs are heterogeneous between Australian grain farms. Agron. Sustain. Dev. 37, 28. https://doi.org/10.1007/s13593-017-0438-6
Flohr, B.M., Hunt, J.R., Kirkegaard, J.A., Evans, J.R., 2017. Water and temperature stress define the optimal flowering period for wheat in south-eastern Australia. Field Crop. Res. 209, 108–119. https://doi.org/10.1016/j.fcr.2017.04.012
Fry, J., Guber, A.K., Ladoni, M., Munoz, J.D., Kravchenko, A.N., 2017. The effect of up-scaling soil properties and model parameters on predictive accuracy of DSSAT crop simulation model under variable weather conditions. Geoderma 287, 105–115. https://doi.org/10.1016/j.geoderma.2016.08.012
Gaydon, D.S., Balwinder-Singh, Wang, E., Poulton, P.L., Ahmad, B., Ahmed, F., Akhter, S., Ali, I., Amarasingha, R., Chaki, A.K., Chen, C., Choudhury, B.U., Darai, R., Das, A., Hochman, Z., Horan, H., Hosang, E.Y., Kumar, P.V., Khan, A.S.M.M.R., Laing, A.M., Liu, L., Malaviachichi, M. a. P.W.K., Mohapatra, K.P., Muttaleb, M.A., Power, B., Radanielson, A.M., Rai, G.S., Rashid, M.H., Rathanayake, W.M.U.K., Sarker, M.M.R., Sena, D.R., Shamim, M., Subash, N., Suriadi, A., Suriyagoda, L.D.B., Wang, G., Wang, J., Yadav, R.K., Roth, C.H., 2017. Evaluation of the APSIM model in cropping systems of Asia. Field Crop. Res. 204, 52–75. https://doi.org/10.1016/j.fcr.2016.12.015
George, N., Kaffka, S., 2017. Canola as a New Crop for California: A Simulation Study. Agron. J. 109, 496–509. https://doi.org/10.2134/agronj2016.04.0247
Gobbett, D.L., Hochman, Z., Horan, H., Garcia, J.N., Grassini, P., Cassman, K.G., 2017. Yield gap analysis of rainfed wheat demonstrates local to global relevance. J. Agric. Sci. 155, 282–299. https://doi.org/10.1017/S0021859616000381
Guan, K., Sultan, B., Biasutti, M., Baron, C., Lobell, D.B., 2017. Assessing climate adaptation options and uncertainties for cereal systems in West Africa. Agric. For. Meteorol. 232, 291–305. https://doi.org/10.1016/j.agrformet.2016.07.021
He, D., Wang, E., Wang, J., Lilley, J., Luo, Z., Pan, X., Pan, Z., Yang, N., 2017a. Uncertainty in canola phenology modelling induced by cultivar parameterization and its impact on simulated yield. Agric. For. Meteorol. 232, 163–175. https://doi.org/10.1016/j.agrformet.2016.08.013
He, D., Wang, E., Wang, J., Lilley, J.M., 2017b. Genotype x environment x management interactions of canola across China: A simulation study. Agric. For. Meteorol. 247, 424–433. https://doi.org/10.1016/j.agrformet.2017.08.027
He, D., Wang, E., Wang, J., Robertson, M.J., 2017c. Data requirement for effective calibration of process-based crop models. Agric. For. Meteorol. 234, 136–148. https://doi.org/10.1016/j.agrformet.2016.12.015
Hochman, Z., Gobbett, D.L., Horan, H., 2017a. Climate trends account for stalled wheat yields in Australia since 1990. Glob. Change Biol. 23, 2071–2081. https://doi.org/10.1111/gcb.13604
Hochman, Z., Horan, H., Reddy, D.R., Sreenivas, G., Tallapragada, C., Adusumilli, R., Gaydon, D., Singh, K.K., Roth, C.H., 2017b. Smallholder farmers managing climate risk in India: 1. Adapting to a variable climate. Agric. Syst. 150, 54–66. https://doi.org/10.1016/j.agsy.2016.10.001
Hochman, Z., Horan, H., Reddy, D.R., Sreenivas, G., Tallapragada, C., Adusumilli, R., Gaydon, D.S., Laing, A., Kokic, P., Singh, K.K., Roth, C.H., 2017c. Smallholder farmers managing climate risk in India: 2. Is it climate-smart? Agric. Syst. 151, 61–72. https://doi.org/10.1016/j.agsy.2016.11.007
Hoffmann, M.P., Llewellyn, R.S., Davoren, C.W., Whitbread, A.M., 2017. Assessing the Potential for Zone-Specific Management of Cereals in Low-Rainfall South-Eastern Australia: Combining On-Farm Results and Simulation Analysis. J. Agron. Crop Sci. 203, 14–28. https://doi.org/10.1111/jac.12159
Hussein, E., Thomas, D.T., Bell, L.W., Blache, D., 2017. Grazing winter and spring wheat crops improves the profitability of prime lamb production in mixed farming systems of Western Australia. Anim. Prod. Sci. 57, 2082–2090. https://doi.org/10.1071/AN15850
Janssen, S.J.C., Porter, C.H., Moore, A.D., Athanasiadis, I.N., Foster, I., Jones, J.W., Antle, J.M., 2017. Towards a new generation of agricultural system data, models and knowledge products: Information and communication technology. Agric. Syst. 155, 200–212. https://doi.org/10.1016/j.agsy.2016.09.017
Jin, Z., Azzari, G., Lobell, D.B., 2017a. Improving the accuracy of satellite-based high-resolution yield estimation: A test of multiple scalable approaches. Agric. For. Meteorol. 247, 207–220. https://doi.org/10.1016/j.agrformet.2017.08.001
Jin, Z., Prasad, R., Shriver, J., Zhuang, Q., 2017b. Crop model- and satellite imagery-based recommendation tool for variable rate N fertilizer application for the US Corn system. Precis. Agric. 18, 779–800. https://doi.org/10.1007/s11119-016-9488-z
Jin, Z., Zhuang, Q., Wang, J., Archontoulis, S.V., Zobel, Z., Kotamarthi, V.R., 2017c. The combined and separate impacts of climate extremes on the current and future US rainfed maize and soybean production under elevated CO2. Glob. Change Biol. 23, 2687–2704. https://doi.org/10.1111/gcb.13617
Kabir, M.J., Cramb, R., Gaydon, D.S., Roth, C.H., 2017. Bio-economic evaluation of cropping systems for saline coastal Bangladesh: II. Economic viability in historical and future environments. Agric. Syst. 155, 103–115. https://doi.org/10.1016/j.agsy.2017.05.002
Kafatos, M.C., Kim, S.H., Lim, C.-H., Kim, J., Lee, W.-K., 2017. Responses of Agroecosystems to Climate Change: Specifics of Resilience in the Mid-Latitude Region. Sustainability 9, 1361. https://doi.org/10.3390/su9081361
Khaembah, E.N., Brown, H.E., Zyskowski, R., Chakwizira, E., de Ruiter, J.M., Teixeira, E.I., 2017. Development of a fodder beet potential yield model in the next generation APSIM. Agric. Syst. 158, 23–38. https://doi.org/10.1016/j.agsy.2017.08.005
Kodur, S., 2017. Improving the prediction of soil evaporation for different soil types under dryland cropping. Agric. Water Manage. 193, 131–141. https://doi.org/10.1016/j.agwat.2017.07.016
Kuhnert, M., Yeluripati, J., Smith, P., Hoffmann, H., van Oijen, M., Constantin, J., Coucheney, E., Dechow, R., Eckersten, H., Gaiser, T., Grosz, B., Haas, E., Kersebaum, K.-C., Kiese, R., Klatt, S., Lewan, E., Nendel, C., Raynal, H., Sosa, C., Specka, X., Teixeira, E., Wang, E., Weihermueller, L., Zhao, G., Zhao, Z., Ogle, S., Ewert, F., 2017. Impact analysis of climate data aggregation at different spatial scales on simulated net primary productivity for croplands. Eur. J. Agron. 88, 41–52. https://doi.org/10.1016/j.eja.2016.06.005
Liu, D.L., O’Leary, G.J., Christy, B., Macadam, I., Wang, B., Anwar, M.R., Weeks, A., 2017a. Effects of different climate downscaling methods on the assessment of climate change impacts on wheat cropping systems. Clim. Change 144, 687–701. https://doi.org/10.1007/s10584-017-2054-5
Liu, D.L., Zeleke, K.T., Wang, B., Macadam, I., Scott, F., Martin, R.J., 2017b. Crop residue incorporation can mitigate negative climate change impacts on crop yield and improve water use efficiency in a semiarid environment. Eur. J. Agron. 85, 51–68. https://doi.org/10.1016/j.eja.2017.02.004
Luo, Z., Wang, E., Xing, H., Smith, C., Wang, G., Cresswell, H., 2017. Opportunities for enhancing yield and soil carbon sequestration while reducing N2O emissions in rainfed cropping systems. Agric. For. Meteorol. 232, 400–410. https://doi.org/10.1016/j.agrformet.2016.09.008
Magaia, E., Famba, S., Wesstrom, I., Brito, R., Joel, A., 2017. Modelling maize yield response to plant density and water and nitrogen supply in a semi-arid region. Field Crop. Res. 205, 170–181. https://doi.org/10.1016/j.fcr.2016.12.025
McNeill, K., Macdonald, K., Singh, A., Binns, A.D., 2017. Food and water security: Analysis of integrated modeling platforms. Agric. Water Manage. 194, 100–112. https://doi.org/10.1016/j.agwat.2017.09.001
Meier, E.A., Thorburn, P.J., Kragt, M.E., Dumbrell, N.P., Biggs, J.S., Hoyle, F.C., van Rees, H., 2017. Greenhouse gas abatement on southern Australian grains farms: Biophysical potential and financial impacts. Agric. Syst. 155, 147–157. https://doi.org/10.1016/j.agsy.2017.04.012
Mielenz, H., Thorburn, P.J., Harris, R.H., Grace, P.R., Officer, S.J., 2017. Mitigating N2O emissions from cropping systems after conversion from pasture – a modelling approach. Eur. J. Agron. 82, 254–267. https://doi.org/10.1016/j.eja.2016.06.007
Mohanty, M., Sinha, N.K., McDermid, S.P., Chaudhary, R.S., Reddy, K.S., Hati, K.M., Somasundaram, J., Lenka, S., Patidar, R.K., Prabhakar, M., Cherukumalli, S.R., Patra, A.K., 2017a. Climate change impacts vis-a-vis productivity of soybean in vertisol of Madhya Pradesh. J. Agrometeorol. 19, 10–16.
Mohanty, M., Sinha, N.K., Patidar, R.K., Somasundaram, J., Chaudhary, R.S., Hati, K.M., Reddy, K.S., Prabhakar, M., Cherukumalli, S.R., Patra, A.K., 2017b. Assessment of maize (Zea mays L.) productivity and yield gap analysis using simulation modelling in subtropical climate of central India. J. Agrometeorol. 19, 342–345.
Mushtaq, S., An-Vo, D.-A., Christopher, M., Zheng, B., Chenu, K., Chapman, S.C., Christopher, J.T., Stone, R.C., Frederiks, T.M., Alam, G.M.M., 2017. Economic assessment of wheat breeding options for potential improved levels of post head-emergence frost tolerance. Field Crop. Res. 213, 75–88. https://doi.org/10.1016/j.fcr.2017.07.021
Ndoli, A., Baudron, F., Schut, A.G.T., Mukuralinda, A., Giller, K.E., 2017. Disentangling the positive and negative effects of trees on maize performance in smallholdings of Northern Rwanda. Field Crop. Res. 213, 1–11. https://doi.org/10.1016/j.fcr.2017.07.020
Nuttall, J.G., O’Leary, G.J., Panozzo, J.F., Walker, C.K., Barlow, K.M., Fitzgerald, G.J., 2017. Models of grain quality in wheat-A review. Field Crop. Res. 202, 136–145. https://doi.org/10.1016/j.fcr.2015.12.011
Ojeda, J.J., Volenec, J.J., Brouder, S.M., Caviglia, O.P., Agnusdei, M.G., 2017. Evaluation of Agricultural Production Systems Simulator as yield predictor of Panicum virgatum and Miscanthus x giganteus in several US environments. GCB Bioenergy 9, 796–816. https://doi.org/10.1111/gcbb.12384
Okoro, S.U., Schickhoff, U., Boehner, J., Schneider, U.A., Huth, N.I., 2017. Climate impacts on palm oil yields in the Nigerian Niger Delta. Eur. J. Agron. 85, 38–50. https://doi.org/10.1016/j.eja.2017.02.002
Palmer, J., Thorburn, P.J., Biggs, J.S., Dominati, E.J., Probert, M.E., Meier, E.A., Huth, N.I., Dodd, M., Snow, V., Larsen, J.R., Parton, W.J., 2017a. Nitrogen Cycling from Increased Soil Organic Carbon Contributes Both Positively and Negatively to Ecosystem Services in Wheat Agro-Ecosystems. Front. Plant Sci. 8, 731. https://doi.org/10.3389/fpls.2017.00731
Palmer, J., Thorburn, P.J., Meier, E.A., Biggs, J.S., Whelan, B., Singh, K., Eyre, D.N., 2017b. Can management practices provide greenhouse gas abatement in grain farms in New South Wales, Australia? Crop Pasture Sci. 68, 390–400. https://doi.org/10.1071/CP17026
Pardon, L., Huth, N.I., Nelson, P.N., Banabas, M., Gabrielle, B., Bessou, C., 2017. Yield and nitrogen losses in oil palm plantations: Main drivers and management trade-offs determined using simulation. Field Crop. Res. 210, 20–32. https://doi.org/10.1016/j.fcr.2017.05.016
Reinmuth, E., Dabbert, S., 2017. Toward more efficient model development for farming systems research – An integrative review. Comput. Electron. Agric. 138, 29–38. https://doi.org/10.1016/j.compag.2017.04.007
Rigolot, C., de Voil, P., Douxchamps, S., Prestwidge, D., Van Wijk, M., Thornton, P.K., Rodriguez, D., Henderson, B., Medina, D., Herrero, M., 2017. Interactions between intervention packages, climatic risk, climate change and food security in mixed crop-livestock systems in Burkina Faso. Agric. Syst. 151, 217–224. https://doi.org/10.1016/j.agsy.2015.12.017
Rodriguez, D., de Voil, P., Rufino, M.C., Odendo, M., van Wijk, M.T., 2017. To mulch or to munch? Big modelling of big data. Agric. Syst. 153, 32–42. https://doi.org/10.1016/j.agsy.2017.01.010
Romera, A.J., Cichota, R., Beukes, P.C., Gregorini, P., Snow, V.O., Vogeler, I., 2017. Combining Restricted Grazing and Nitrification Inhibitors to Reduce Nitrogen Leaching on New Zealand Dairy Farms. J. Environ. Qual. 46, 72–79. https://doi.org/10.2134/jeq2016.08.0325
Rui, J., Tong-tong, W., Jin, S., Sheng, G., Wei, Z., Ya-jun, Y., Shao-lin, C., Hatano, R., 2017. Modeling the biomass of energy crops: Descriptions, strengths and prospective. J. Integr. Agric. 16, 1197–1210. https://doi.org/10.1016/S2095-3119(16)61592-7
Sennhenn, A., Njarui, D.M.G., Maass, B.L., Whitbread, A.M., 2017. Exploring Niches for Short-Season Grain Legumes in Semi-Arid Eastern Kenya – Coping with the Impacts of Climate Variability. Front. Plant Sci. 8, 699. https://doi.org/10.3389/fpls.2017.00699
Sexton, J., Everingham, Y.L., Inman-Bamber, G., 2017. A global sensitivity analysis of cultivar trait parameters in a sugarcane growth model for contrasting production environments in Queensland, Australia. Eur. J. Agron. 88, 96–105. https://doi.org/10.1016/j.eja.2015.11.009
Seyoum, S., Chauhan, Y., Rachaputi, R., Fekybelu, S., Prasanna, B., 2017. Characterising production environments for maize in eastern and southern Africa using the APSIM Model. Agric. For. Meteorol. 247, 445–453. https://doi.org/10.1016/j.agrformet.2017.08.023
Singh, V., Nguyen, C.T., McLean, G., Chapman, S.C., Zheng, B., van Oosterom, E.J., Hammer, G.L., 2017. Quantifying high temperature risks and their potential effects on sorghum production in Australia. Field Crop. Res. 211, 77–88. https://doi.org/10.1016/j.fcr.2017.06.012
Smethurst, P.J., Huth, N.I., Masikati, P., Sileshi, G.W., Akinnifesi, F.K., Wilson, J., Sinclair, F., 2017. Accurate crop yield predictions from modelling tree-crop interactions in gliricidia-maize agroforestry. Agric. Syst. 155, 70–77. https://doi.org/10.1016/j.agsy.2017.04.008
Solomon, K.F., Chauhan, Y., Zeppa, A., 2017. Risks of yield loss due to variation in optimum density for different maize genotypes under variable environmental conditions. J. Agron. Crop Sci. 203, 519–527. https://doi.org/10.1111/jac.12213
Tao, F., Roetter, R.P., Palosuo, T., Diaz-Ambrona, C.G.H., Ines Minguez, M., Semenov, M.A., Kersebaum, K.C., Nendel, C., Cammarano, D., Hoffmann, H., Ewert, F., Dambreville, A., Martre, P., Rodriguez, L., Ruiz-Ramos, M., Gaiser, T., Hohn, J.G., Salo, T., Ferrise, R., Bindi, M., Schulman, A.H., 2017. Designing future barley ideotypes using a crop model ensemble. Eur. J. Agron. 82, 144–162. https://doi.org/10.1016/j.eja.2016.10.012
Teixeira, E.I., Zhao, G., de Ruiter, J., Brown, H., Ausseil, A.-G., Meenken, E., Ewert, F., 2017. The interactions between genotype, management and environment in regional crop modelling. Eur. J. Agron. 88, 106–115. https://doi.org/10.1016/j.eja.2016.05.005
Thorburn, P.J., Biggs, J.S., Palmer, J., Meier, E.A., Verburg, K., Skocaj, D.M., 2017. Prioritizing Crop Management to Increase Nitrogen Use Efficiency in Australian Sugarcane Crops. Front. Plant Sci. 8, 1504. https://doi.org/10.3389/fpls.2017.01504
Togliatti, K., Archontoulis, S.V., Dietzel, R., Puntel, L., VanLoocke, A., 2017. How does inclusion of weather forecasting impact in-season crop model predictions? Field Crop. Res. 214, 261–272. https://doi.org/10.1016/j.fcr.2017.09.008
Touch, V., Martin, R.J., Scott, F., Cowie, A., Liu, D.L., 2017. Climate change impacts on rainfed cropping production systems in the tropics and the case of smallholder farms in North-west Cambodia. Environ. Dev. Sustain. 19, 1631–1647. https://doi.org/10.1007/s10668-016-9818-3
Traore, B., Descheemaeker, K., van Wijk, M.T., Corbeels, M., Supit, I., Giller, K.E., 2017. Modelling cereal crops to assess future climate risk for family food self-sufficiency in southern Mali. Field Crop. Res. 201, 133–145. https://doi.org/10.1016/j.fcr.2016.11.002
Truong, S.K., McCormick, R.F., Mullet, J.E., 2017. Bioenergy Sorghum Crop Model Predicts VPD-Limited Transpiration Traits Enhance Biomass Yield in Water-Limited Environments. Front. Plant Sci. 8, 335. https://doi.org/10.3389/fpls.2017.00335
Urban, D.W., Sheffield, J., Lobell, D.B., 2017. Historical effects of CO2 and climate trends on global crop water demand. Nat. Clim. Chang. 7, 901-+. https://doi.org/10.1038/s41558-017-0011-y
van der Weerden, T.J., Laurenson, S., Vogeler, I., Beukes, P.C., Thomas, S.M., Rees, R.M., Topp, C.F.E., Lanigang, G., de Klein, C. a. M., 2017. Mitigating nitrous oxide and manure-derived methane emissions by removing cows in response to wet soil conditions. Agric. Syst. 156, 126–138. https://doi.org/10.1016/j.agsy.2017.06.010
Vanuytrecht, E., Thorburn, P.J., 2017. Responses to atmospheric CO2 concentrations in crop simulation models: a review of current simple and semicomplex representations and options for model development. Glob. Change Biol. 23, 1806–1820. https://doi.org/10.1111/gcb.13600
Vogeler, I., Cichota, R., 2017. Development of an algorithm for relating pasture nitrogen status to yield response curves. Grass Forage Sci. 72, 734–742. https://doi.org/10.1111/gfs.12284
Vogeler, I., Cichota, R., Snow, V., Thomas, S., Lloyd-West, C., 2017a. Effects of soil heterogeneity on the uncertainty in modelling the fate of urinary nitrogen deposited during winter forage grazing. Soil Tillage Res. 169, 81–91. https://doi.org/10.1016/j.still.2017.01.014
Vogeler, I., Vibart, R., Cichota, R., 2017b. Potential benefits of diverse pasture swards for sheep and beef farming. Agric. Syst. 154, 78–89. https://doi.org/10.1016/j.agsy.2017.03.015
Wallach, D., Nissanka, S.P., Karunaratne, A.S., Weerakoon, W.M.W., Thorburn, P.J., Boote, K.J., Jones, J.W., 2017. Accounting for both parameter and model structure uncertainty in crop model predictions of phenology: A case study on rice. Eur. J. Agron. 88, 53–62. https://doi.org/10.1016/j.eja.2016.05.013
Wang, B., Liu, D.L., Asseng, S., Macadam, I., Yang, X., Yu, Q., 2017. Spatiotemporal changes in wheat phenology, yield and water use efficiency under the CMIP5 multimodel ensemble projections in eastern Australia. Clim. Res. 72, 83–99. https://doi.org/10.3354/cr01458
Whitbread, A.M., Hoffmann, M.P., Davoren, C.W., Mowat, D., Baldock, J.A., 2017. Measuring and Modeling the Water Balance in Low-Rainfall Cropping Systems. Trans. ASABE 60, 2097–2110. https://doi.org/10.13031/trans.12581
Wu, L., Feng, L., Zhang, Y., Gao, J., Wang, J., 2017. Comparison of Five Wheat Models Simulating Phenology under Different Sowing Dates and Varieties. Agron. J. 109, 1280–1293. https://doi.org/10.2134/agronj2016.10.0619
Wunsch, E.M., Bell, L.W., Bell, M.J., 2017. Can legumes provide greater benefits than millet as a spring cover crop in southern Queensland farming systems? Crop Pasture Sci. 68, 746–759. https://doi.org/10.1071/CP17223
Xiao, D., Cao, J., Bai, H., Qi, Y., Shen, Y., 2017a. Assessing the Impacts of Climate Variables and Sowing Date on Spring Wheat Yield in the Northern China. Int. J. Agric. Biol. 19, 1551–1558. DOI:10.17957/IJAB/15.0459
Xiao, D., Qi, Y., Li, Z., Wang, R., Moiwo, J.P., Liu, F., 2017b. Impact of thermal time shift on wheat phenology and yield under warming climate in the Huang-Huai-Hai Plain, China. Front. Earth Sci. 11, 148–155. https://doi.org/10.1007/s11707-016-0584-1
Xiao, D., Shen, Y., Qi, Y., Moiwo, J.P., Min, L., Zhang, Y., Guo, Y., Pei, H., 2017c. Impact of alternative cropping systems on groundwater use and grain yields in the North China Plain Region. Agric. Syst. 153, 109–117. https://doi.org/10.1016/j.agsy.2017.01.018
Xing, H., Liu, D.L., Li, G., Wang, B., Anwar, M.R., Crean, J., Lines-Kelly, R., Yu, Q., 2017. Incorporating grain legumes in cereal-based cropping systems to improve profitability in southern New South Wales, Australia. Agric. Syst. 154, 112–123. https://doi.org/10.1016/j.agsy.2017.03.010
Zeleke, K.T., 2017. Fallow management increases soil water and nitrogen storage. Agric. Water Manage. 186, 12–20. https://doi.org/10.1016/j.agwat.2017.02.011
Zhang, Y., Zhao, Y., 2017. Ensemble yield simulations: Using heat-tolerant and later-maturing varieties to adapt to climate warming. PLoS One 12, e0176766. https://doi.org/10.1371/journal.pone.0176766
Zhao, J., Pu, F., Li, Y., Xu, J., Lie, N., Zhang, Y., Gun, J., Pan, Z., 2017. Assessing the combined effects of climatic factors on spring wheat phenophase and grain yield in Inner Mongolia, China. PLoS One 12, e0185690. https://doi.org/10.1371/journal.pone.0185690
Zhao, Z., Qin, X., Zang, H., Chen, C., Zhang, Y., Wang, Z., 2017a. Value of groundwater used for producing extra grain in North China Plain. Field Crop. Res. 210, 47–51. https://doi.org/10.1016/j.fcr.2017.05.022
Zhao, Z., Verburg, K., Huth, N., 2017b. Modelling sugarcane nitrogen uptake patterns to inform design of controlled release fertiliser for synchrony of N supply and demand. Field Crop. Res. 213, 51–64. https://doi.org/10.1016/j.fcr.2017.08.001
Zull, A.F., Owens, J., Bourgault, M., Johnson, B., Peck, G., Christodoulou, N., 2017. Mixed farming diversification may be costly: southern Queensland case study. Crop Pasture Sci. 68, 378–389. https://doi.org/10.1071/CP16193
2016
Ahmed, M., Akram, M. N., Asim, M., Aslam, M., Hassan, F., Higgins, S., Stockle, C. O. & Hoogenboom, G. (2016) Calibration and validation of APSIM-Wheat and CERES-Wheat for spring wheat under rainfed conditions: Models evaluation and application. Comput. Electron. Agric. 123, 384–401.
2016
Akkermans, R. a. D., Stuermer, A. & Delfs, J. W. (2016) Active Flow Control for Interaction Noise Reduction of Contra-Rotating Open Rotors. AIAA J. 54, 1413–1423.
2016
Andrade, A. S., Santos, P. M., Pezzopane, J. R. M., de Araujo, L. C., Pedreira, B. C., Pedreira, C. G. S., Marin, F. R. & Lara, M. a. S. (2016) Simulating tropical forage growth and biomass accumulation: an overview of model development and application. Grass Forage Sci. 71, 54–65.
2016
Antille, D. L., Huth, N. I., Eberhard, J., Marinoni, O., Cocks, B., Poulton, P. L., Macdonald, B. C. T. & Schmidt, E. J. (2016) The Effects of Coal Seam Gas Infrastructure Development on Arable Land. Trans. ASABE 59, 879–901.
2016
Araujo, J. A., Abiodun, B. J. & Crespo, O. (2016) Impacts of drought on grape yields in Western Cape, South Africa. Theor. Appl. Climatol. 123, 117–130.
2016
Archontoulis, S. V., Huber, I., Miguez, F. E., Thorburn, P. J., Rogovska, N. & Laird, D. A. (2016) A model for mechanistic and system assessments of biochar effects on soils and crops and trade-offs. GCB Bioenergy 8, 1028–1045.
2016
Asseng, S., McIntosh, P. C., Thomas, G., Ebert, E. E. & Khimashia, N. (2016) Is a 10-day rainfall forecast of value in dry-land wheat cropping? Agric. For. Meteorol. 216, 170–176.
2016
Bacon, S. A., Mau, R., Neto, F. M., Williams, R. L. & Turner, N. C. (2016) Effect of climate warming on maize production in Timor-Leste: interaction with nitrogen supply. Crop Pasture Sci. 67, 156–166.
2016
Bai, H., Tao, F., Xiao, D., Liu, F. & Zhang, H. (2016) Attribution of yield change for rice-wheat rotation system in China to climate change, cultivars and agronomic management in the past three decades. Clim. Change 135, 539–553.
2016
Balwinder-Singh, Humphreys, E., Gaydon, D. S. & Eberbach, P. L. (2016) Evaluation of the effects of mulch on optimum sowing date and irrigation management of zero till wheat in central Punjab, India using APSIM. Field Crop. Res. 197, 83–96.
2016
Basche, A. D., Archontoulis, S. V., Kaspar, T. C., Jaynes, D. B., Parkin, T. B. & Miguez, F. E. (2016) Simulating long-term impacts of cover crops and climate change on crop production and environmental outcomes in the Midwestern United States. Agric. Ecosyst. Environ. 218, 95–106.
2016
Borus, D. J., Mohammed, C., Parsons, D., Boersma, M. & Schulte-Geldermann, E. (2016) Modelling future potato (Solanum tuberosum L.) production in Tasmania and Kenya. ‘Xxix International Horticultural Congress on Horticulture: Sustaining Lives, Livelihoods and Landscapes (ihc2014): International Symposium on Root and Tuber Crops: Sustaining Lives and Livelihoods into the Future’. (Ed JR Schultheis) pp. 217–223
2016
Camargo, G. G. T. & Kemanian, A. R. (2016) Six crop models differ in their simulation of water uptake. Agric. For. Meteorol. 220, 116–129.
2016
Casadebaig, P., Zheng, B., Chapman, S., Huth, N., Faivre, R. & Chenu, K. (2016) Assessment of the Potential Impacts of Wheat Plant Traits across Environments by Combining Crop Modeling and Global Sensitivity Analysis. PLoS One 11, e0146385.
2016
Castaldi, F. & Casa, R. (2016) A methodology for the assessment of the potential of precision weed management based on geostatistical and crop growth model simulations. Ital. J. Agrometeorol.-Riv. Ital. Agrometeorol. 21, 13–22.
2016
Chen, C., Berger, J., Fletcher, A., Lawes, R. & Robertson, M. (2016) Genotype x environment interactions for phenological adaptation in narrow-leafed lupin: A simulation study with a parameter optimized model. Field Crop. Res. 197, 28–38.
2016
Chen, C., Lawes, R., Fletcher, A., Oliver, Y., Robertson, M., Bell, M. & Wang, E. (2016) How well can APSIM simulate nitrogen uptake and nitrogen fixation of legume crops? Field Crop. Res. 187, 35–48.
2016
Chimonyo, V. G. P., Modi, A. T. & Mabhaudhi, T. (2016) Simulating yield and water use of a sorghum-cowpea intercrop using APSIM. Agric. Water Manage. 177, 317–328.
2016
Chimonyo, V. G. P., Modi, A. T. & Mabhaudhi, T. (2016) Assessment of sorghum-cowpea intercrop system under water-limited conditions using a decision support tool. Water SA 42, 316–327.
2016
Crimp, S. J., Zheng, B., Khimashia, N., Gobbett, D. L., Chapman, S., Howden, M. & Nicholls, N. (2016) Recent changes in southern Australian frost occurrence: implications for wheat production risk. Crop Pasture Sci. 67, 801–811.
2016
Cvetkovic, M. (2016) The Reform of Byzantine Military and Territorial Organization Under Justinian Ii. Zb. Rad. Viz. Inst. 16–46. doi:10.2298/ZRVI1653017C.
2016
Dalgliesh, N. P., Charlesworth, P., Lonh, L. & Poulton, P. L. (2016) Promoting resilience in Cambodian lowland rice ecosystems-Farming system research to support flexible climate response strategies for smallholder farmers. Field Crop. Res. 198, 148–159.
2016
De Oliveira, A. P. P., Thorburn, P. J., Biggs, J. S., Lima, E., Dos Anjos, L. H. C., Pereira, M. G. & Zanotti, N. E. (2016) The Response of Sugarcane to Trash Retention and Nitrogen in the Brazilian Coastal Tablelands: A Simulation Study. Exp. Agric. 52, 69–86.
2016
Dengpan, X., Fulu, T., Yanjun, S. & Yongqing, Q. (2016) Combined Impact of Climate Change, Cultivar Shift, and Sowing Date on Spring Wheat Phenology in Northern China. J. Meteorol. Res. 30, 820–831.
2016
Dietzel, R., Liebman, M., Ewing, R., Helmers, M., Horton, R., Jarchow, M. & Archontoulis, S. (2016) How efficiently do corn- and soybean-based cropping systems use water? A systems modeling analysis. Glob. Change Biol. 22, 666–681.
2016
Ebrahimi, E., Manschadi, A. M., Neugschwandtner, R. W., Eitzinger, J., Thaler, S. & Kaul, H.-P. (2016) Assessing the impact of climate change on crop management in winter wheat – a case study for Eastern Austria. J. Agric. Sci. 154, 1153–1170.
2016
Everingham, Y., Sexton, J., Skocaj, D. & Inman-Bamber, G. (2016) Accurate prediction of sugarcane yield using a random forest algorithm. Agron. Sustain. Dev. 36, 27.
2016
Fillery, I. R. P. & Khimashia, N. (2016) Procedure to estimate ammonia loss after N fertiliser application to moist soil. Soil Res. 54, 1–10.
2016
Fletcher, A., Lawes, R. & Weeks, C. (2016) Crop area increases drive earlier and dry sowing in Western Australia: implications for farming systems. Crop Pasture Sci. 67, 1268–1280.
2016
Ghahramani, A. & Moore, A. D. (2016) Impact of climate changes on existing crop-livestock farming systems. Agric. Syst. 146, 142–155.
2016
Godde, C. M., Thorburn, P. J., Biggs, J. S. & Meier, E. A. (2016) Understanding the Impacts of Soil, Climate, and Farming Practices on Soil Organic Carbon Sequestration: A Simulation Study in Australia. Front. Plant Sci. 7, 661.
2016
Hochman, Z., Gobbett, D., Horan, H. & Garcia, J. N. (2016) Data rich yield gap analysis of wheat in Australia. Field Crop. Res. 197, 97–106.
2016
Hussain, K., Wongleecharoen, C., Hilger, T., Ahmad, A., Kongkaew, T. & Cadisch, G. (2016) Modelling resource competition and its mitigation at the crop-soil-hedge interface using WaNuLCAS. Agrofor. Syst. 90, 1025–1044.
2016
Inman-Bamber, N. G., Jackson, P. A., Stokes, C. J., Verrall, S., Lakshmanan, P. & Basnayake, J. (2016) Sugarcane for water-limited environments: Enhanced capability of the APSIM sugarcane model for assessing traits for transpiration efficiency and root water supply. Field Crop. Res. 196, 112–123.
2016
Jin, Z., Zhuang, Q., Tan, Z., Dukes, J. S., Zheng, B. & Melillo, J. M. (2016) Do maize models capture the impacts of heat and drought stresses on yield? Using algorithm ensembles to identify successful approaches. Glob. Change Biol. 22, 3112–3126.
2016
Kassie, B. T., Asseng, S., Porter, C. H. & Royce, F. S. (2016) Performance of DSSAT-Nwheat across a wide range of current and future growing conditions. Eur. J. Agron. 81, 27–36.
2016
Kim, S. H., Myoung, B., Stack, D. H., Kim, J. & Kafatos, M. C. (2016) Sensitivity of Maize Yield Potential to Regional Climate in the Southwestern Us. Trans. ASABE 59, 1745–1757.
2016
Kirkegaard, J. A., Lilley, J. M., Brill, R. D., Sprague, S. J., Fettell, N. A. & Pengilley, G. C. (2016) Re-evaluating sowing time of spring canola (Brassica napus L.) in south-eastern Australiahow early is too early? Crop Pasture Sci. 67, 381–396.
2016
Kisaka, M. O., Mucheru-Muna, M., Ngetich, F. K., Mugwe, J. N., Mugendi, D. N., Mairura, F. & Muriuki, J. (2016) Using Apsim-Model as a Decision-Support-Tool for Long-Term Integrated-Nitrogen-Management and Maize Productivity Under Semi-Arid Conditions in Kenya. Exp. Agric. 52, 279–299.
2016
Li, J., Wang, E., Wang, Y., Xing, H., Wang, D., Wang, L. & Gao, C. (2016) Reducing greenhouse gas emissions from a wheat-maize rotation system while still maintaining productivity. Agric. Syst. 145, 90–98.
2016
Li, K., Yang, X., Tian, H., Pan, S., Liu, Z. & Lu, S. (2016) Effects of changing climate and cultivar on the phenology and yield of winter wheat in the North China Plain. Int. J. Biometeorol. 60, 21–32.
2016
Lilley, J. M. & Kirkegaard, J. A. (2016) Farming system context drives the value of deep wheat roots in semi-arid environments. J. Exp. Bot. 67, 3665–3681.
2016
Liu, B., Asseng, S., Liu, L., Tang, L., Cao, W. & Zhu, Y. (2016) Testing the responses of four wheat crop models to heat stress at anthesis and grain filling. Glob. Change Biol. 22, 1890–1903.
2016
Liu, D. L., O’Leary, G. J., Ma, Y., Cowie, A., Li, F. Y., McCaskill, M., Conyers, M., Dalal, R., Robertson, F. & Dougherty, W. (2016) Modelling soil organic carbon 2. Changes under a range of cropping and grazing farming systems in eastern Australia. Geoderma 265, 164–175.
2016
Liu, X., Sun, H., Feike, T., Zhang, X., Shao, L. & Chen, S. (2016) Assessing the Impact of Air Pollution on Grain Yield of Winter Wheat – A Case Study in the North China Plain. PLoS One 11, e0162655.
2016
Liu, Z., Yang, X., Lin, X., Hubbard, K. G., Lv, S. & Wang, J. (2016) Narrowing the Agronomic Yield Gaps of Maize by Improved Soil, Cultivar, and Agricultural Management Practices in Different Climate Zones of Northeast China. Earth Interact. 20, 12.
2016
Luedeling, E., Smethurst, P. J., Baudron, F., Bayala, J., Huth, N. I., van Noordwijk, K., Ong, C. K., Mulia, R., Lusiana, B., Muthuri, C. & Sinclair, F. L. (2016) Field-scale modeling of tree-crop interactions: Challenges and development needs. Agric. Syst. 142, 51–69.
2016
Luo, Q., Bange, M. & Devoil, P. (2016) Effects of a wheat rotation on cotton production in a changing climate: a simulation study. Clim. Res. 70, 29–38.
2016
Luo, Z., Wang, E. & Rossel, R. A. V. (2016) Can the sequestered carbon in agricultural soil be maintained with changes in management, temperature and rainfall? A sensitivity assessment. Geoderma 268, 22–28.
2016
Macadam, I., Argueeso, D., Evans, J. P., Liu, D. L. & Pitman, A. J. (2016) The effect of bias correction and climate model resolution on wheat simulations forced with a regional climate model ensemble. Int. J. Climatol. 36, 4577–4591.
2016
Martinez-Feria, R. A., Dietzel, R., Liebman, M., Helmers, M. J. & Archontoulis, S. V. (2016) Rye cover crop effects on maize: A system-level analysis. Field Crop. Res. 196, 145–159.
2016
Meier, E. A. & Thorburn, P. J. (2016) Long Term Sugarcane Crop Residue Retention Offers Limited Potential to Reduce Nitrogen Fertilizer Rates in Australian Wet Tropical Environments. Front. Plant Sci. 7, 1017.
2016
Mielenz, H., Thorburn, P. J., Harris, R. H., Officer, S. J., Li, G., Schwenke, G. D. & Grace, P. R. (2016) Nitrous oxide emissions from grain production systems across a wide range of environmental conditions in eastern Australia. Soil Res. 54, 659–674.
2016
Mielenz, H., Thorburn, P. J., Scheer, C., Migliorati, M. D. A., Grace, P. R. & Bell, M. J. (2016) Opportunities for mitigating nitrous oxide emissions in subtropical cereal and fiber cropping systems: A simulation study. Agric. Ecosyst. Environ. 218, 11–27.
2016
Montgomery, S. C., Martin, R. J., Guppy, C., Wright, G. C., Flavel, R. J., Phan, S., Im, S., Touch, V., Andersson, K. & Tighe, M. K. (2016) Crop choice and planting time for upland crops in Northwest Cambodia. Field Crop. Res. 198, 290–302.
2016
Mulwa, R., Rao, K. P. C., Gummadi, S. & Kilavi, M. (2016) Impacts of climate change on agricultural household welfare in Kenya. Clim. Res. 67, 87–97.
2016
Myoung, B., Kim, S. H., Kim, J. & Kafatos, M. C. (2016) Regional Variations of Optimal Sowing Dates of Maize for the Southwestern Us. Trans. ASABE 59, 1759–1769.
2016
Naveen-Gupta, Sudhir-Yadav, Humphreys, E., Kukal, S. S., Balwinder-Singh & Eberbach, P. L. (2016) Effects of tillage and mulch on the growth, yield and irrigation water productivity of a dry seeded rice-wheat cropping system in north-west India. Field Crop. Res. 196, 219–236.
2016
Ojeda, J. J., Pembleton, K. G., Islam, M. R., Agnusdei, M. G. & Garcia, S. C. (2016) Evaluation of the agricultural production systems simulator simulating Lucerne and annual ryegrass dry matter yield in the Argentine Pampas and south-eastern Australia. Agric. Syst. 143, 61–75.
2016
O’Leary, G. J., Liu, D. L., Ma, Y., Li, F. Y., McCaskill, M., Conyers, M., Dalal, R., Reeves, S., Page, K., Dang, Y. P. & Robertson, F. (2016) Modelling soil organic carbon 1. Performance of APSIM crop and pasture modules against long-term experimental data. Geoderma 264, 227–237.
2016
van Oort, P. a. J., Balde, A., Diagne, M., Dingkuhn, M., Manneh, B., Muller, B., Sow, A. & Stuerz, S. (2016) Intensification of an irrigated rice system in Senegal: Crop rotations, climate risks, sowing dates and varietal adaptation options. Eur. J. Agron. 80, 168–181.
2016
van Oort, P. a. J., Wang, G., Vos, J., Meinke, H., Li, B. G., Huang, J. K. & van der Werf, W. (2016) Towards groundwater neutral cropping systems in the Alluvial Fans of the North China Plain. Agric. Water Manage. 165, 131–140.
2016
Peake, A. S., Carberry, P. S., Raine, S. R., Gett, V. & Smith, R. J. (2016) An alternative approach to whole-farm deficit irrigation analysis: Evaluating the risk-efficiency of wheat irrigation strategies in sub-tropical Australia. Agric. Water Manage. 169, 61–76.
2016
Pembleton, K. G., Cullen, B. R., Rawnsley, R. P., Harrison, M. T. & Ramilan, T. (2016) Modelling the resilience of forage crop production to future climate change in the dairy regions of Southeastern Australia using APSIM. J. Agric. Sci. 154, 1131–1152.
2016
Petheram, C., McKellar, L., Holz, L., Poulton, P., Podger, S. & Yeates, S. (2016) Evaluation of the economic feasibility of water harvesting for irrigation in a large semi-arid tropical catchment in northern Australia. Agric. Syst. 142, 84–98.
2016
Poulton, P. L., Dalgliesh, N. P., Vang, S. & Roth, C. H. (2016) Resilience of Cambodian lowland rice farming systems to future climate uncertainty. Field Crop. Res. 198, 160–170.
2016
Ren, X., Sun, D. & Wang, Q. (2016) Modeling the effects of plant density on maize productivity and water balance in the Loess Plateau of China. Agric. Water Manage. 171, 40–48.
2016
Robertson, M. J. & Lilley, J. M. (2016) Simulation of growth, development and yield of canola (Brassica napus) in APSIM. Crop Pasture Sci. 67, 332–344.
2016
Roxburgh, C. W. & Rodriguez, D. (2016) Ex-ante analysis of opportunities for the sustainable intensification of maize production in Mozambique. Agric. Syst. 142, 9–22.
2016
Salo, T. J., Palosuo, T., Kersebaum, K. C., Nendel, C., Angulo, C., Ewert, F., Bindi, M., Calanca, P., Klein, T., Moriondo, M., Ferrise, R., Olesen, J. E., Patil, R. H., Ruget, F., Takac, J., Hlavinka, P., Trnka, M. & Rottter, R. P. (2016) Comparing the performance of 11 crop simulation models in predicting yield response to nitrogen fertilization. J. Agric. Sci. 154, 1218–1240.
2016
Sexton, J., Everingham, Y. & Inman-Bamber, G. (2016) A theoretical and real world evaluation of two Bayesian techniques for the calibration of variety parameters in a sugarcane crop model. Environ. Modell. Softw. 83, 126–142.
2016
Smith, A., Snapp, S., Dimes, J., Gwenambira, C. & Chikowo, R. (2016) Doubled-up legume rotations improve soil fertility and maintain productivity under variable conditions in maize-based cropping systems in Malawi. Agric. Syst. 145, 139–149.
2016
Sun, H., Zhang, X., Wang, E., Chen, S., Shao, L. & Qin, W. (2016) Assessing the contribution of weather and management to the annual yield variation of summer maize using APSIM in the North China Plain. Field Crop. Res. 194, 94–102.
2016
Teixeira, E. I., Johnstone, P., Chakwizira, E., de Ruiter, J., Malcolm, B., Shaw, N., Zyskowski, R., Khaembah, E., Sharp, J., Meenken, E., Fraser, P., Thomas, S., Brown, H. & Curtin, D. (2016) Sources of variability in the effectiveness of winter cover crops for mitigating N leaching. Agric. Ecosyst. Environ. 220, 226–235.
2016
Verburg, K., Zhao, Z., Biggs, J. S. & Thorburn, P. J. (2016) Controlled release fertilisers – lessons from a review and early results characterising release, synchrony and nitrogen losses. Int. Sugar J. 118, 764–770.
2016
Vogeler, I. & Cichota, R. (2016) x Deriving seasonally optimal nitrogen fertilization rates for a ryegrass pasture based on agricultural production systems simulator modelling with a refined AgPasture model. Grass Forage Sci. 71, 353–365.
2016
Vogeler, I., Cichota, R. & Beautrais, J. (2016) Linking Land Use Capability classes and APSIM to estimate pasture growth for regional land use planning. Soil Res. 54, 94–110.
2016
Vogeler, I., Lucci, G. & Shepherd, M. (2016) An assessment of the effects of fertilizer nitrogen management on nitrate leaching risk from grazed dairy pasture. J. Agric. Sci. 154, 407–424.
2016
Vogeler, I., Mackay, A., Vibart, R., Rendel, J., Beautrais, J. & Dennis, S. (2016) Effect of inter-annual variability in pasture growth and irrigation response on farm productivity and profitability based on biophysical and farm systems modelling. Sci. Total Environ. 565, 564–575.
2016
Xiao, D., Qi, Y., Shen, Y., Tao, F., Moiwo, J. P., Liu, J., Wang, R., Zhang, H. & Liu, F. (2016) Impact of warming climate and cultivar change on maize phenology in the last three decades in North China Plain. Theor. Appl. Climatol. 124, 653–661.
2016
Xiao, D., Shen, Y., Zhang, H., Moiwo, J. P., Qi, Y., Wang, R., Pei, H., Zhang, Y. & Shen, H. (2016) Comparison of winter wheat yield sensitivity to climate variables under irrigated and rain-fed conditions. Front. Earth Sci. 10, 444–454.
2016
Xiao, D. & Tao, F. (2016) Contributions of cultivar shift, management practice and climate change to maize yield in North China Plain in 1981-2009. Int. J. Biometeorol. 60, 1111–1122.
2016
Yang, Y., Liu, D. L., Anwar, M. R., O’Leary, G., Macadam, I. & Yang, Y. (2016) Water use efficiency and crop water balance of rainfed wheat in a semi-arid environment: sensitivity of future changes to projected climate changes and soil type. Theor. Appl. Climatol. 123, 565–579.
2016
Yanyang, Y., Xu, J., Zhao, J., Li, N. & He, Y. (2016) Study on Spring Wheat Yield Change of Inner Mongolia in Time and Space Based on APSIM Model. ‘Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2016)’. (Ed ZY Jiang) pp. 471–474
2016
Ya-xu, W., Hong-quan, S., Juan, L. & Zhi-cheng, S. (2016) Research on the deficit irrigation scheduling to winter wheat at critical period based on crop modeling method. ‘Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control’. (Eds B Ma, D Zhou) pp. 608–614
2016
Zeleke, K. T. & Nendel, C. (2016) Analysis of options for increasing wheat (Triticum aestivum L.) yield in south-eastern Australia: The role of irrigation, cultivar choice and time of sowing. Agric. Water Manage. 166, 139–148.
2016
Zeng, W., Wu, J., Hoffmann, M. P., Xu, C., Ma, T. & Huang, J. (2016) Testing the APSIM sunflower model on saline soils of Inner Mongolia, China. Field Crop. Res. 192, 42–54.
2016
Zhao, G., Hoffmann, H., Yeluripati, J., Xenia, S., Nendel, C., Coucheney, E., Kuhnert, M., Tao, F., Constantin, J., Raynal, H., Teixeira, E., Grosz, B., Doro, L., Kiese, R., Eckersten, H., Haas, E., Cammarano, D., Kassie, B., Moriondo, M., Trombi, G., Bindi, M., Biernath, C., Heinlein, F., Klein, C., Priesack, E., Lewan, E., Kersebaum, K.-C., Rotter, R., Roggero, P. P., Wallach, D., Asseng, S., Siebert, S., Gaiser, T. & Ewert, F. (2016) Evaluating the precision of eight spatial sampling schemes in estimating regional means of simulated yield for two crops. Environ. Modell. Softw. 80, 100–112.
2016
Zhao, J., Yang, X., Liu, Z., Lv, S., Wang, J. & Dai, S. (2016) Variations in the potential climatic suitability distribution patterns and grain yields for spring maize in Northeast China under climate change. Clim. Change 137, 29–42.
2016
Zheng, B., Holland, E. & Chapman, S. C. (2016) A standardized workflow to utilise a grid-computing system through advanced message queuing protocols. Environ. Modell. Softw. 84, 304–310.
2015
Acuna, T. B., Lisson, S., Johnson, P. & Dean, G. (2015) Yield and water-use efficiency of wheat in a high-rainfall environment. Crop & Pasture Science 66, 419–429.
2015
Al-Azri, M., Leibovici, D., Karunaratne, A. & Ray, R. V. (2015) Simulating eyespot disease development and yield loss using APSIM for UK wheat. Procedia Environmental Sciences 29, 256–257.
2015
Amarasingha, R. P. R. K., Suriyagoda, L. D. B., Marambe, B., Galagedara, L. W., Silva, G. L. L. P., Punyawardena, R., Wijekoon, R., Nidumolu, U. & Howden, M. (2015) Modelling the impact of changes in rainfall distribution on the irrigation water requirement and yield of short and medium duration rice varieties using APSIM during Maha season in the dry zone of Sri Lanka. Tropical Agricultural Research 26, 274–284.
2015
Amarasingha, R. P. R. K., Suriyagoda, L. D. B., Marambe, B., Gaydon, D. S., Galagedara, L. W., Punyawardena, R., Silva, G. L. L. P., Nidumolu, U. & Howden, M. (2015) Simulation of crop and water productivity for rice (Oryza sativa L.) using APSIM under diverse agro-climatic conditions and water management techniques in Sri Lanka. Agricultural Water Management 160, 132–143.
2015
Anwar, M. R., Liu, D. L., Farquharson, R., Macadam, I., Abadi, A., Finlayson, J., Wang, B. & Ramilan, T. (2015) Climate change impacts on phenology and yields of five broadacre crops at four climatologically distinct locations in Australia. Agricultural Systems 132, 133–144.
2015
Araya, A., Hoogenboom, G., Luedeling, E., Hadgu, K. M., Kisekka, I. & Martorano, L. G. (2015) Assessment of maize growth and yield using crop models under present and future climate in southwestern Ethiopia. Agricultural and Forest Meteorology 214, 252–265.
2015
Athanasiadis, I. N., Janssen, S., Holzworth, D., Thorburn, P., Donatelli, M., Snow, V., Hoogenboom, G. & White, J. W. (2015) Thematic issue on agricultural systems modelling and software – Part II Preface. Environmental Modelling & Software 72, 274–275.
2015
Balwinder-Singh, Humphreys, E., Gaydon, D. S. & Sudhir-Yadav (2015) Options for increasing the productivity of the rice-wheat system of north west India while reducing groundwater depletion. Part 2. Is conservation agriculture the answer? Field Crops Research 173, 81–94.
2015
Balwinder-Singh, Humphreys, E., Sudhir-Yadav & Gaydon, D. S. (2015) Options for increasing the productivity of the rice-wheat system of north-west India while reducing groundwater depletion. Part 1. Rice variety duration, sowing date and inclusion of mungbean. Field Crops Research 173, 68–80.
2015
BangYou, Z., Chapman, S., Christopher, J., Frederiks, T. & Chenu, K. (2015) Frost trends and their estimated impact on yield in the Australian wheatbelt. Procedia Environmental Sciences 29, 171–172.
2015
Barlow, K. M., Christy, B. P., O’Leary, G. J., Riffkin, P. A. & Nuttall, J. G. (2015) Simulating the impact of extreme heat and frost events on wheat crop production: A review. Field Crops Research 171, 109–119.
2015
Baudron, F., Delmotte, S., Corbeels, M., Herrera, J. M. & Tittonell, P. (2015) Multi-scale trade-off analysis of cereal residue use for livestock feeding vs. soil mulching in the Mid-Zambezi Valley, Zimbabwe. Agricultural Systems 134, 97–106.
2015
Bell, L. W., Lilley, J. M., Hunt, J. R. & Kirkegaard, J. A. (2015) Optimising grain yield and grazing potential of crops across Australia’s high-rainfall zone: a simulation analysis. 1. Wheat. Crop & Pasture Science 66, 332–348.
2015
Bellido, J., Sakai, K., Nakamura, S., Kazuro, M., Okamoto, K. & Nakandakari, T. (2015) Simulation of N2o Emissions from a Sugarcane Field in Okinawa, Japan.Applied Ecology and Environmental Research 13, 981–992.
2015
ChaoYang, D., ZhiJuan, L. & XiaoGuang, Y. (2015) Effects of different grade drought on grain yield of spring maize in northern China. Transactions of the Chinese Society of Agricultural Engineering 31, 157–164.
2015
Chauhan, Y. S., Thorburn, P., Biggs, J. S. & Wright, G. C. (2015) Agronomic benefits and risks associated with the irrigated peanut-maize production system under a changing climate in northern Australia. Crop & Pasture Science 66, 1167–1179.
2015
Chauhan, Y., Tatnell, J., Krosch, S., Karanja, J., Gnonlonfin, B., Wanjuki, I., Wainaina, J. & Harvey, J. (2015) An improved simulation model to predict pre-harvest aflatoxin risk in maize. Field Crops Research 178, 91–99.
2015
Dai, T., Wang, J., He, D., Zhang, J. & Wang, N. (2015) [Adaptability of APSIM model in Southwestern China: A case study of winter wheat in Chongqing City]. Ying yong sheng tai xue bao = The journal of applied ecology / Zhongguo sheng tai xue xue hui, Zhongguo ke xue yuan Shenyang ying yong sheng tai yan jiu suo zhu ban 26, 1237–43.
2015
Deihimfard, R., Mahallati, M. N. & Koocheki, A. (2015) Yield gap analysis in major wheat growing areas of Khorasan province, Iran, through crop modelling. Field Crops Research 184, 28–38.
2015
Fletcher, A. L., Robertson, M. J., Abrecht, D. G., Sharma, D. L. & Holzworth, D. P. (2015) Dry sowing increases farm level wheat yields but not production risks in a Mediterranean environment. Agricultural Systems 136, 114–124.
2015
Gao, L., Connor, J., Bryan, B. A., Huai, J., King, D., Kandulu, J. & Zhao, G. (2015) Sowing windows and cultivars used in APSIM modeling. Figshare. doi:http://dx.doi.org/10.1371/journal.pone.0117600.t001.
2015
Giltrap, D. L., Vogeler, I., Cichota, R., Luo, J., van der Weerden, T. J. & de Klein, C. a. M. (2015) Comparison between APSIM and NZ-DNDC models when describing N-dynamics under urine patches. New Zealand Journal of Agricultural Research 58, 131–155.
2015
Grafton, R. Q., Williams, J. & Jiang, Q. (2015) Food and water gaps to 2050: preliminary results from the global food and water system (GFWS) platform. Food Security7, 209–220.
2015
Guan, K., Sultan, B., Biasutti, M., Baron, C. & Lobell, D. B. (2015) What aspects of future rainfall changes matter for crop yields in West Africa? Geophysical Research Letters 42, 8001–8010.
2015
He, L., Asseng, S., Zhao, G., Wu, D., Yang, X., Zhuang, W., Jin, N. & Yu, Q. (2015) Impacts of recent climate warming, cultivar changes, and crop management on winter wheat phenology across the Loess Plateau of China. Agricultural and Forest Meteorology 200, 135–143.
2015
Hoffmann, H., Zhao, G., van Bussel, L. G. J., Enders, A., Specka, X., Sosa, C., Yeluripati, J., Tao, F., Constantin, J., Raynal, H., Teixeira, E., Grosz, B., Doro, L., Zhao, Z., Wang, E., Nendel, C., Kersebaum, K. C., Haas, E., Kiese, R., Klatt, S., Eckersten, H., Vanuytrecht, E., Kuhnert, M., Lewan, E., Rotter, R., Roggero, P. P., Wallach, D., Cammarano, D., Asseng, S., Krauss, G., Siebert, S., Gaiser, T. & Ewert, F. (2015) Variability of effects of spatial climate data aggregation on regional yield simulation by crop models. Climate Research 65, 53–69.
2015
Hoffmann, M. P., Jacobs, A. & Whitbread, A. M. (2015) Crop modelling based analysis of site-specific production limitations of winter oilseed rape in northern Germany. Field Crops Research 178, 49–62.
2015
Innes, P. J., Tan, D. K. Y., Van Ogtrop, F. & Amthor, J. S. (2015) Effects of high-temperature episodes on wheat yields in New South Wales, Australia. Agricultural and Forest Meteorology 208, 95–107.
2015
Islam, M. R., Garcia, S. C., Clark, C. E. F. & Kerrisk, K. L. (2015) Modelling Pasture-based Automatic Milking System Herds: Grazeable Forage Options. Asian-Australasian Journal of Animal Sciences 28, 703–715.
2015
Karunaratne, A. S., Azam-Ali, S. N., Walker, S. & Ruane, A. (2015) Modelling the productivity of underutilised crops for climate resilience. ‘Acta Horticulturae’. (Eds H Jaenicke, SE Ashmore, ME Dulloo, L Guarino, M Taylor) pp. 113–117
2015
Kim, S. H., Kim, J. W., Walko, R., Myoung, B., Stack, D. & Kafatos, M. (2015) Climate change impacts on maize-yield potential in the Southwestern United States.Procedia Environmental Sciences 29, 279–280.
2015
Kouadio, L., Newlands, N., Potgieter, A., McLean, G. & Hill, H. (2015) Exploring the potential impacts of climate variability on spring wheat yield with the APSIM decision support tool. Agricultural Sciences 6, 686–698.
2015
Kumara, G. M. P., Perera, M. D. D., Mowjood, M. I. M. & Galagedara, L. W. (2015) Use of computer models in agriculture: a review. Proceedings of 2nd International Conference on Agriculture and Forestry, ICOAF – 2015, Colombo, Sri Lanka, 10-12 June 2015 167–175.
2015
Lawes, R. & Renton, M. (2015) Gaining insight into the risks, returns and value of perfect knowledge for crop sequences by comparing optimal sequences with those proposed by agronomists. Crop & Pasture Science 66, 622–633.
2015
LiJuan, Y., YongZhong, L., Guang, L., Qi, W., ZhuZhu, L., ZhenNi, G., Yue, L., ZhenGang, Y., Qiang, L. & ZhiGang, N. (2015) The synergy effects of water and fertilizer supply on a rotational system of spring wheat and peas under different tillage practices in a loess hilly region. Acta Prataculturae Sinica 24, 39–47.
2015
Lilley, J. M., Bell, L. W. & Kirkegaard, J. A. (2015) Optimising grain yield and grazing potential of crops across Australia’s high-rainfall zone: a simulation analysis. 2. Canola. Crop & Pasture Science 66, 349–364.
2015
Lobell, D. B., Hammer, G. L., Chenu, K., Zheng, B., McLean, G. & Chapman, S. C. (2015) The shifting influence of drought and heat stress for crops in northeast Australia. Global Change Biology 21, 4115–4127.
2015
Luo, Z., Wang, E., Zheng, H., Baldock, J. A., Sun, O. J. & Shao, Q. (2015) Convergent modelling of past soil organic carbon stocks but divergent projections.Biogeosciences 12, 4373–4383.
2015
Lv, S., Yang, X., Lin, X., Liu, Z., Zhao, J., Li, K., Mu, C., Chen, X., Chen, F. & Mi, G. (2015) Yield gap simulations using ten maize cultivars commonly planted in Northeast China during the past five decades. Agricultural and Forest Meteorology 205, 1–10.
2015
MacCarthy, D. S., Akponikpe, P. B. I., Narh, S. & Tegbe, R. (2015) Modeling the effect of seasonal climate variability on the efficiency of mineral fertilization on maize in the coastal savannah of Ghana. Nutrient Cycling in Agroecosystems 102, 45–64.
2015
Marin, F. R., Thorburn, P. J., Nassif, D. S. P. & Costa, L. G. (2015) Sugarcane model intercomparison: Structural differences and uncertainties under current and potential future climates. Environmental Modelling & Software 72, 372–386.
2015
Matere, S. J., Kwena, K., Nyamwaro, S. O., Esilaba, A. O., Ndegwa, W., Wamae, D. K., Waswa, J. K., Ruttoh, R. & Kibue, A. M. (2015) Analysis of utilisation of analytical tools for climate change impacts on agriculture in Kenya. International Journal of Agricultural Resources Governance and Ecology 11, 1–10.
2015
McCormick, J. I., Virgona, J. M., Lilley, J. M. & Kirkegaard, J. A. (2015) Evaluating the feasibility of dual-purpose canola in a medium-rainfall zone of south-eastern Australia: a simulation approach. Crop & Pasture Science 66, 318–331.
2015
Mei-xiu, T., Jing, W., Wei-dong, Y., Di, H., Na, W., Tong, D., Yan, S., Jian-zhao, T. & Qing, C. (2015) Temporal and spatial variation of the optimal sowing dates of summer maize based on both statistical and processes models in Henan Province, China. Yingyong Shengtai Xuebao 26, 3670–3678.
2015
Mohanty, M., Sinha, N. K., Hati, K. M., Reddy, K. S. & Chaudhary, R. S. (2015) Elevated temperature and carbon dioxide concentration effects on wheat productivity in Madhya Pradesh: a simulation study. Journal of Agrometeorology 17, 185–189.
2015
Moot, D. J., Hargreaves, J., Brown, H. E. & Teixeira, E. I. (2015) Calibration of the APSIM-Lucerne model for ‘Grasslands Kaituna’ lucerne crops grown in New Zealand. New Zealand Journal of Agricultural Research 58, 190–202.
2015
Mushtaq, S., White, N., Cockfield, G., Power, B. & Jakeman, G. (2015) Reconfiguring agriculture through the relocation of production systems for water, environment and food security under climate change. Journal of Agricultural Science 153, 779–797.
2015
Myoung, B. S., Kim, S. H., Stack, D. H., Kim, J. W. & Kafatos, M. C. (2015) Temperature, sowing and harvest dates, and yield potential of maize in the southwestern US. Procedia Environmental Sciences 29, 276–276.
2015
Nidumolu, U. B., Hayman, P. T., Hochman, Z., Horan, H., Reddy, D. R., Sreenivas, G. & Kadiyala, D. M. (2015) Assessing climate risks in rainfed farming using farmer experience, crop calendars and climate analysis. Journal of Agricultural Science 153, 1380–1393.
2015
Ning, L., Xu, J., Zhao, J., Pu, F. & Xiang, S. (2015) The study of the relationship between climate factors and growth period spring wheat based on APSIM model. ‘Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015’. (Ed P Yarlagadda) pp. 507–510
2015
Nissanka, S. P., Karunaratne, A. S., Perera, R., Weerakoon, W. M. W., Thorburn, P. J. & Wallach, D. (2015) Calibration of the phenology sub-model of APSIM-Oryza: Going beyond goodness of fit. Environmental Modelling & Software 70, 128–137.
2015
O’Leary, G. J., Christy, B., Nuttall, J., Huth, N., Cammarano, D., Stoeckle, C., Basso, B., Shcherbak, I., Fitzgerald, G., Luo, Q., Farre-Codina, I., Palta, J. & Asseng, S. (2015) Response of wheat growth, grain yield and water use to elevated CO2 under a Free-Air CO2 Enrichment (FACE) experiment and modelling in a semi-arid environment. Global Change Biology 21, 2670–2686.
2015
Poulton, P. L., Vesna, T., Dalgliesh, N. P. & Seng, V. (2015) Applying Simulation to Improve Rice Varieties in Reducing the on-Farm Yield Gap in Cambodian Lowland Rice Ecosystems. Experimental Agriculture 51, 264–284.
2015
Robertson, M. J., Rebetzke, G. J. & Norton, R. M. (2015) Assessing the place and role of crop simulation modelling in Australia. Crop & Pasture Science 66, 877–893.
2015
Rurinda, J., van Wijk, M. T., Mapfumo, P., Descheemaeker, K., Supit, I. & Giller, K. E. (2015) Climate change and maize yield in southern Africa: what can farm management do? Global Change Biology 21, 4588–4601.
2015
Scanlan, C. A., Bell, R. W. & Brennan, R. F. (2015) Simulating wheat growth response to potassium availability under field conditions in sandy soils. II. Effect of subsurface potassium on grain yield response to potassium fertiliser. Field Crops Research 178, 125–134.
2015
Scanlan, C. A., Huth, N. I. & Bell, R. W. (2015) Simulating wheat growth response to potassium availability under field conditions with sandy soils. I. Model development. Field Crops Research 178, 109–124.
2015
Sennhenn, A., Njarui, D. M. G., Maass, B. L. & Whitbread, A. M. (2015) Can short-season grain legumes contribute to more resilient and productive farming systems in semi-arid Eastern Kenya? Procedia Environmental Sciences 29, 81–82.
2015
Shaw, R. E. & Meyer, W. S. (2015) Improved Empirical Representation of Plant Responses to Waterlogging for Simulating Crop Yield. Agronomy Journal 107, 1711–1723.
2015
Soltani, A. & Sinclair, T. R. (2015) A comparison of four wheat models with respect to robustness and transparency: Simulation in a temperate, sub-humid environment.Field Crops Research 175, 37–46.
2015
Stanfill, B., Mielenz, H., Clifford, D. & Thorburn, P. (2015) Simple approach to emulating complex computer models for global sensitivity analysis. Environmental Modelling & Software 74, 140–155.
2015
Subash, N., Shamim, M., Singh, V. K., Gangwar, B., Singh, B., Gaydon, D. S., Roth, C. H., Poulton, P. L. & Sikka, A. K. (2015) Applicability of APSIM to capture the effectiveness of irrigation management decisions in rice-based cropping sequence in the Upper-Gangetic Plains of India. Paddy and Water Environment 13, 325–335.
2015
Sun, H., Zhang, X., Wang, E., Chen, S. & Shao, L. (2015) Quantifying the impact of irrigation on groundwater reserve and crop production – A case study in the North China Plain. European Journal of Agronomy 70, 48–56.
2015
Tan, M., Wang, J., Yu, W., He, D., Wang, N., Dai, T., Sun, Y., Tang, J. & Chang, Q. (2015) [Temporal and spatial variation of the optimal sowing dates of summer maize based on both statistical and processes models in Henan Province, China]. Ying yong sheng tai xue bao = The journal of applied ecology / Zhongguo sheng tai xue xue hui, Zhongguo ke xue yuan Shenyang ying yong sheng tai yan jiu suo zhu ban 26, 3670–8.
2015
Teixeira, E. I., Brown, H. E., Sharp, J., Meenken, E. D. & Ewert, F. (2015) Evaluating methods to simulate crop rotations for climate impact assessments – A case study on the Canterbury plains of New Zealand. Environmental Modelling & Software 72, 304–313.
2015
Tong, D., Jing, W., Di, H., Jian-ping, Z. & Na, W. (2015) Adaptability of APSIM model in Southwestern China: A case study of winter wheat in Chongqing City.Yingyong Shengtai Xuebao 26, 1237–1243.
2015
Waha, K., Huth, N., Carberry, P. & Wang, E. (2015) How model and input uncertainty impact maize yield simulations in West Africa. Environmental Research Letters10, 24017.
2015
Wang, J., Wang, E., Yin, H., Feng, L. & Zhao, Y. (2015) Differences between observed and calculated solar radiations and their impact on simulated crop yields. Field Crops Research 176, 1–10.
2015
Wang, N., Wang, J., Wang, E., Yu, Q., Shi, Y. & He, D. (2015) Increased uncertainty in simulated maize phenology with more frequent supra-optimal temperature under climate warming. European Journal of Agronomy 71, 19–33.
2015
Watson, J., BangYou, Z., Chapman, S. C. & Chenu, K. (2015) Projected impact of future climate on drought patterns in complex rainfed environments. Procedia Environmental Sciences 29, 190–191.
2015
Whish, J. P. M., Herrmann, N. I., White, N. A., Moore, A. D. & Kriticos, D. J. (2015) Integrating pest population models with biophysical crop models to better represent the farming system. Environmental Modelling & Software 72, 418–425.
2015
Williams, A., White, N., Mushtaq, S., Cockfield, G., Power, B. & Kouadio, L. (2015) Quantifying the response of cotton production in eastern Australia to climate change. Climatic Change 129, 183–196.
2015
Yang, X., Chen, F., Lin, X., Liu, Z., Zhang, H., Zhao, J., Li, K., Ye, Q., Li, Y., Lv, S., Yang, P., Wu, W., Li, Z., Lal, R. & Tang, H. (2015) Potential benefits of climate change for crop productivity in China. Agricultural and Forest Meteorology 208, 76–84.
2015
Yu, L., MinPeng, C. & JiNing, C. (2015) Progress and perspectives in studies on agro-ecosystem carbon cycle model. Transactions of the Chinese Society of Agricultural Engineering 31, 1–9.
2015
Zhao, G., Bryan, B. A., King, D., Luo, Z., Wang, E. & Yu, Q. (2015) Sustainable limits to crop residue harvest for bioenergy: maintaining soil carbon in Australia’s agricultural lands. Global Change Biology Bioenergy 7, 479–487.
2015
Zhao, J., Yang, X., Dai, S., Lv, S. & Wang, J. (2015) Increased utilization of lengthening growing season and warming temperatures by adjusting sowing dates and cultivar selection for spring maize in Northeast China. European Journal of Agronomy 67, 12–19.
2015
Zhao, Z., Qin, X., Wang, E., Carberry, P., Zhang, Y., Zhou, S., Zhang, X., Hu, C. & Wang, Z. (2015) Modelling to increase the eco-efficiency of a wheat-maize double cropping system. Agriculture Ecosystems & Environment 210, 36–46.
2014
Ahmed, M., Aslam, M. A., Fayyaz-Ul-Hassan, Asif, M. & Hayat, R. (2014) Use of APSIM to Model Nitrogen Use Efficiency of Rain-fed Wheat. International Journal of Agriculture and Biology 16, 461–470.
2014
Ahmed, M., Aslam, M. A., Fayyaz-ul-Hassan, Asif, M. & Hayat, R. (2014) Use of APSIM to model nitrogen use efficiency of rain-fed wheat. International Journal of Agriculture and Biology 16, 461–470.
2014
Amarasingha, R. P. R. K., Galagedara, L. W., Marambe, B., Silva, G. L. L. P., Punyawardena, R., Nidumolu, U., Howden, M. & Suriyagoda, L. D. B. (2014) Aligning sowing dates with the onset of rains to improve rice yields and water productivity: modelling rice ( Oryza sativa L.) yield of the Maha season in the dry zone of Sri Lanka. Tropical Agricultural Research 25, 277–286.
2014
Archontoulis, S. V., Miguez, F. E. & Moore, K. J. (2014) Evaluating APSIM Maize, Soil Water, Soil Nitrogen, Manure, and Soil Temperature Modules in the Midwestern United States. Agronomy Journal 106, 1025–1040.
2014
Archontoulis, S. V., Miguez, F. E. & Moore, K. J. (2014) A methodology and an optimization tool to calibrate phenology of short-day species included in the APSIM PLANT model: Application to soybean. Environmental Modelling & Software 62, 465–477.
2014
Brown, H. E., Huth, N. I., Holzworth, D. P., Teixeira, E. I., Zyskowski, R. F., Hargreaves, J. N. G. & Moot, D. J. (2014) Plant Modelling Framework: Software for building and running crop models on the APSIM platform. Environmental Modelling & Software 62, 385–398.
2014
Bryan, B. A., King, D. & Zhao, G. (2014) Influence of management and environment on Australian wheat: information for sustainable intensification and closing yield gaps. Environmental Research Letters 9, 044005.
2014
Chauhan, Y. S. & Rachaputi, R. C. N. (2014) Defining agro-ecological regions for field crops in variable target production environments: A case study on mungbean in the northern grains region of Australia. Agricultural and Forest Meteorology 194, 207–217.
2014
Cichota, R., Vogeler, I., Li, F. Y. & Beautrais, J. (2014) Deriving pasture growth patterns for land use capability classes in different regions of New Zealand. Proceedings of the New Zealand Grassland Association 76, 203–210.
2014
Costa, L. G., Marin, F. R., Nassif, D. S. P., Pinto, H. M. S. & Lopes-Assad, M. L. R. C. (2014) Simulating trash and nitrogen management effects on sugar cane yield. Revista Brasileira De Engenharia Agricola E Ambiental 18, 469–474.
2014
Descheemaeker, K., Smith, A. P., Robertson, M. J., Whitbread, A. M., Huth, N. I., Davoren, W., Emms, J. & Llewellyn, R. (2014) Simulation of water-limited growth of the forage shrub saltbush (Atriplex nummularia Lindl.) in a low-rainfall environment of southern Australia. Crop & Pasture Science 65, 1068–1083.
2014
Di, H., Jing, W., Tong, D., Liping, F., Jianping, Z., Xuebiao, P. & Zhihua, P. (2014) Impact of Climate Change on Maize Potential Productivity and the Potential Productivity Gap in Southwest China. Journal of Meteorological Research 28, 1155–1167.
2014
Guo-Cheng, W., En-Li, W., Yao, H. & Jing-Jing, X. (2014) Soil Carbon Sequestration Potential as Affected by Management Practices in Northern China: A Simulation Study. Pedosphere 24, 529–543.
2014
HaiWei, A., YingZhong, X., YongHong, L., NaiPing, S., JianLe, M. & MingDe, M. (2014) Adaptability of APSIM lucerne model in semiarid area of Ningxia. Acta Agrestia Sinica 22, 535–541.
2014
Hammer, G. L., McLean, G., Chapman, S., Zheng, B., Doherty, A., Harrison, M. T., van Oosterom, E. & Jordan, D. (2014) Crop design for specific adaptation in variable dryland production environments. Crop & Pasture Science 65, 614–626.
2014
Harrison, M. T., Tardieu, F., Dong, Z., Messina, C. D. & Hammer, G. L. (2014) Characterizing drought stress and trait influence on maize yield under current and future conditions. Global Change Biology 20, 867–878.
2014
He, L., Cleverly, J., Chen, C., Yang, X., Li, J., Liu, W. & Yu, Q. (2014) Diverse Responses of Winter Wheat Yield and Water Use to Climate Change and Variability on the Semiarid Loess Plateau in China. Agronomy Journal 106, 1169–1178.
2014
Hochman, Z., Prestwidge, D. & Carberry, P. S. (2014) Crop sequences in Australia’s northern grain zone are less agronomically efficient than implied by the sum of their parts. Agricultural Systems 129, 124–132.
2014
Holzworth, D. P., Huth, N. I., deVoil, P. G., Zurcher, E. J., Herrmann, N. I., McLean, G., Chenu, K., van Oosterom, E. J., Snow, V., Murphy, C., Moore, A. D., Brown, H., Whish, J. P. M., Verrall, S., Fainges, J., Bell, L. W., Peake, A. S., Poulton, P. L., Hochman, Z., Thorburn, P. J., Gaydon, D. S., Dalgliesh, N. P., Rodriguez, D., Cox, H., Chapman, S., Doherty, A., Teixeira, E., Sharp, J., Cichota, R., Vogeler, I., Li, F. Y., Wang, E., Hammer, G. L., Robertson, M. J., Dimes, J. P., Whitbread, A. M., Hunt, J., van Rees, H., McClelland, T., Carberry, P. S., Hargreaves, J. N. G., MacLeod, N., McDonald, C., Harsdorf, J., Wedgwood, S. & Keating, B. A. (2014) APSIM – Evolution towards a new generation of agricultural systems simulation. Environmental Modelling & Software 62, 327–350.
2014
Huth, N. I., Banabas, M., Nelson, P. N. & Webb, M. (2014) Development of an oil palm cropping systems model: Lessons learned and future directions. Environmental Modelling & Software 62, 411–419.
2014
JingJie, M. & Guang, L. (2014) Impacts of precipitation on wheat yield during growth period. Pratacultural Science 31, 290–295.
2014
Kamanga, B. C. G., Waddington, S. R., Whitbread, A. M., Almekinders, C. J. M. & Giller, K. E. (2014) Improving the Efficiency of Use of Small Amounts of Nitrogen and Phosphorus Fertiliser on Smallholder Maize in Central Malawi. Experimental Agriculture 50, 229–249.
2014
Kholov, J., Murugesan, T., Kaliamoorthy, S., Malayee, S., Baddam, R., Hammer, G. L., Mclean, G., Deshpande, S., Hash, C. T., Craufurd, P. Q. & Vadez, V. (2014) Modelling the effect of plant water use traits on yield and stay-green expression in sorghum. Functional Plant Biology 41, 1019–1034.
2014
Kragt, M. E. & Robertson, M. J. (2014) Quantifying ecosystem services trade-offs from agricultural practices. Ecological Economics 102, 147–157.
2014
van der Laan, M., Annandale, J. G., Bristow, K. L., Stirzaker, R. J., Preez, C. C. du & Thorburn, P. J. (2014) Modelling nitrogen leaching: Are we getting the right answer for the right reason? Agricultural Water Management 133, 74–80.
2014
Li, F. Y., Newton, P. C. D. & Lieffering, M. (2014) Testing simulations of intra- and inter-annual variation in the plant production response to elevated CO2 against measurements from an 11-year FACE experiment on grazed pasture. Global Change Biology 20, 228–239.
2014
Li, K., Yang, X., Liu, Z., Zhang, T., Lu, S. & Liu, Y. (2014) Low yield gap of winter wheat in the North China Plain. European Journal of Agronomy 59, 1–12.
2014
Liu, D. L., Anwar, M. R., O’Leary, G. & Conyers, M. K. (2014) Managing wheat stubble as an effective approach to sequester soil carbon in a semi-arid environment: Spatial modelling. Geoderma 214, 50–61.
2014
Liu, Y., Yang, X., Wang, E. & Xue, C. (2014) Climate and crop yields impacted by ENSO episodes on the North China Plain: 1956-2006. Regional Environmental Change 14, 49–59.
2014
Luo, Z., Wang, E., Baldock, J. & Xing, H. (2014) Potential soil organic carbon stock and its uncertainty under various cropping systems in Australian cropland. Soil Research 52, 463–475.
2014
Luo, Z., Wang, E., Fillery, I. R. P., Macdonald, L. M., Huth, N. & Baldock, J. (2014) Modelling soil carbon and nitrogen dynamics using measurable and conceptual soil organic matter pools in APSIM. Agriculture Ecosystems & Environment 186, 94–104.
2014
Macadam, I., Pitman, A. J., Whetton, P. H., Liu, D. L. & Evans, J. P. (2014) The use of uncorrected regional climate model output to force impact models: a case study for wheat simulations. Climate Research 61, 215–229.
2014
Machwitz, M., Giustarini, L., Bossung, C., Frantz, D., Schlerf, M., Lilienthal, H., Wandera, L., Matgen, P., Hoffmann, L. & Udelhoven, T. (2014) Enhanced biomass prediction by assimilating satellite data into a crop growth model. Environmental Modelling & Software 62, 437–453.
2014
Marin, F. R., Thorburn, P. J., da Costa, L. G. & Otto, R. (2014) Simulating Long-Term Effects of Trash Management on Sugarcane Yield for Brazilian Cropping Systems. Sugar Tech 16, 164–173.
2014
Masikati, P., Manschadi, A., van Rooyen, A. & Hargreaves, J. (2014) Maize-mucuna rotation: An alternative technology to improve water productivity in smallholder farming systems. Agricultural Systems 123, 62–70.
2014
Moeller, C., Sauerborn, J., de Voil, P., Manschadi, A. M., Pala, M. & Meinke, H. (2014) Assessing the sustainability of wheat-based cropping systems using simulation modelling: sustainability=42? Sustainability Science 9, 1–16.
2014
Moore, A. D. (2014) The case for and against perennial forages in the Australian sheep-wheat zone: modelling livestock production, business risk and environmental interactions. Animal Production Science 54, 2029–2041.
2014
Moore, A. D., Eckard, R. J., Thorburn, P. J., Grace, P. R., Wang, E. & Chen, D. (2014) Mathematical modeling for improved greenhouse gas balances, agro-ecosystems, and policy development: lessons from the Australian experience. Wiley Interdisciplinary Reviews-Climate Change 5, 735–752.
2014
Moore, A. D., Holzworth, D. P., Herrmann, N. I., Brown, H. E., de Voil, P. G., Snow, V. O., Zurcher, E. J. & Huth, N. I. (2014) Modelling the manager: Representing rule-based management in farming systems simulation models. Environmental Modelling & Software 62, 399–410.
2014
Msongaleli, B., Rwehumbiza, F., Tumbo, S. D. & Kihupi, N. (2014) Sorghum yield response to changing climatic conditions in semi-arid Central Tanzania: evaluating crop simulation model applicability. Agricultural Sciences 5, 822–833.
2014
Newton, P. C. D., Lieffering, M., Li, F. Y., Ganesh, S. & Dodd, M. (2014) Detection of historical changes in pasture growth and attribution to climate change. Climate Research 61, 203–214.
2014
Peake, A. S., Huth, N. I., Carberry, P. S., Raine, S. R. & Smith, R. J. (2014) Quantifying potential yield and lodging-related yield gaps for irrigated spring wheat in sub-tropical Australia. Field Crops Research 158, 1–14.
2014
Perry, E. M., Morse-McNabb, E. M., Nuttall, J. G., O’Leary, G. J. & Clark, R. (2014) Managing Wheat From Space: Linking MODIS NDVI and Crop Models for Predicting Australian Dryland Wheat Biomass. Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7, 3724–3731.
2014
Poole, N. F. & Arnaudin, M. E. (2014) The role of fungicides for effective disease management in cereal crops. Canadian Journal of Plant Pathology 36, 1–11.
2014
Power, B. & Cacho, O. J. (2014) Identifying risk-efficient strategies using stochastic frontier analysis and simulation: An application to irrigated cropping in Australia. Agricultural Systems 125, 23–32.
2014
van Rees, H., McClelland, T., Hochman, Z., Carberry, P., Hunt, J., Huth, N. & Holzworth, D. (2014) Leading farmers in South East Australia have closed the exploitable wheat yield gap: Prospects for further improvement. Field Crops Research 164, 1–11.
2014
Rodriguez, D., Cox, H., deVoil, P. & Power, B. (2014) A participatory whole farm modelling approach to understand impacts and increase preparedness to climate change in Australia. Agricultural Systems 126, 50–61.
2014
Sexton, J., Inman-Bamber, N. G., Everingham, Y., Basnayake, J., Lakshmanan, P. & Jackson, P. (2014) ‘Detailed trait characterisation is needed for simulation of cultivar responses to water stress.’
2014
Sha, W., FengMei, Y., Fei, W. & EnLi, W. (2014) Grain yield of canola as affected by irrigation and nitrogen application in the Yangtze River Basin of China. Journal of Food, Agriculture & Environment 12, 458–463.
2014
Snow, V. O., Rotz, C. A., Moore, A. D., Martin-Clouaire, R., Johnson, I. R., Hutchings, N. J. & Eckard, R. J. (2014) The challenges – and some solutions – to process-based modelling of grazed agricultural systems. Environmental Modelling & Software 62, 420–436.
2014
Sprigg, H., Belford, R., Milroy, S., Bennett, S. J. & Bowran, D. (2014) Adaptations for growing wheat in the drying climate of Western Australia. Crop & Pasture Science 65, 627–644.
2014
Sultan, B., Guan, K., Kouressy, M., Biasutti, M., Piani, C., Hammer, G. L., McLean, G. & Lobell, D. B. (2014) Robust features of future climate change impacts on sorghum yields in West Africa. Environmental Research Letters 9, UNSP 104006.
2014
Thomas, D. T., Lawes, R. A., Descheemaeker, K. & Moore, A. D. (2014) Selection of crop cultivars suited to the location combined with astute management can reduce crop yield penalties in pasture cropping systems. Crop & Pasture Science 65, 1022–1032.
2014
Vogeler, I., Shepherd, M. & Lucci, G. (2014) Effects of fertiliser nitrogen management on nitrate leaching risk from grazed dairy pasture. Proceedings of the New Zealand Grassland Association 76, 211–216.
2014
Wallach, D. & Thorburn, P. J. (2014) The error in agricultural systems model prediction depends on the variable being predicted. Environmental Modelling & Software 62, 487–494.
2014
Wang, E., Bell, M., Luo, Z., Moody, P. & Probert, M. E. (2014) Modelling crop response to phosphorus inputs and phosphorus use efficiency in a crop rotation. Field Crops Research 155, 120–132.
2014
Wang, J., Wang, E., Yin, H., Feng, L. & Zhang, J. (2014) Declining yield potential and shrinking yield gaps of maize in the North China Plain. Agricultural and Forest Meteorology 195, 89–101.
2014
Xiao, D. & Tao, F. (2014) Contributions of cultivars, management and climate change to winter wheat yield in the North China Plain in the past three decades. European Journal of Agronomy 52, 112–122.
2014
Yang, Y., Liu, D. L., Anwar, M. R., Zuo, H. & Yang, Y. (2014) Impact of future climate change on wheat production in relation to plant-available water capacity in a semiaridenvironment. Theoretical and Applied Climatology 115, 391–410.
2014
Yang, Y., Yang, Y., Han, S., Macadam, I. & Liu, D. L. (2014) Prediction of cotton yield and water demand under climate change and future adaptation measures. Agricultural Water Management 144, 42–53.
2014
YongHong [Li, Y. H. F., Newton, P. C. D. & Lieffering, M. (2014) Testing simulations of intra- and inter-annual variation in the plant production response to elevated CO 2 against measurements from an 11-year FACE experiment on grazed pasture. Global Change Biology 20, 228–239.
2014
Young, R., Huth, N., Harden, S. & McLeod, R. (2014) Impact of rain-fed cropping on the hydrology and fertility of alluvial clays in the more arid areas of the upper Darling Basin, eastern Australia. Soil Research 52, 388–408.
2014
Yue, Y., Bing, L., XiaoJun, L., LeiLei, L., XueMei, F., WeiXing, C. & Yan, Z. (2014) Comparison of phasic development models in wheat. Journal of Nanjing Agricultural University 37, 6–14.
2014
Yu, Q., Li, L., Luo, Q., Eamus, D., Xu, S., Chen, C., Wang, E., Liu, J. & Nielsen, D. C. (2014) Year patterns of climate impact on wheat yields. International Journal of Climatology 34, 518–528.
2014
Zeleke, K. T., Anwar, M. & Liu, D. L. (2014) Managing crop stubble during fallow period for soil water conservation: field experiment and modelling. Environmental Earth Sciences 72, 3317–3327.
2014
Zeleke, K. T., Luckett, D. J. & Cowley, R. B. (2014) The influence of soil water conditions on canola yields and production in Southern Australia. Agricultural Water Management 144, 20–32.
2014
Zhao, G., Bryan, B. A. & Song, X. (2014) Sensitivity and uncertainty analysis of the APSIM-wheat model: Interactions between cultivar, environmental, and management parameters. Ecological Modelling 279, 1–11.
2014
Zhao, Z., Wang, E., Wang, Z., Zang, H., Liu, Y. & Angus, J. F. (2014) A reappraisal of the critical nitrogen concentration of wheat and its implications on crop modeling. Field Crops Research 164, 65–73.
2014
Zhao, Z., Wang, E., Xue, L., Wu, Y., Zang, H., Qin, X., Zhang, J. & Wang, Z. (2014) Accuracy of root modelling and its impact on simulated wheat yield and carbon cycling in soil. Field Crops Research 165, 99–110.
2013
Adam, M., Wery, J., Leffelaar, P. A., Ewert, F., Corbeels, M. & Van Keulen, H. (2013) A systematic approach for re-assembly of crop models: An example to simulate pea growth from wheat growth. Ecological Modelling 250, 258–268.
2013
Ahmed, M., Asif, M., Hirani, A. H., Akram, M. N. & Goyal, A. (2013) ‘Modeling for Agricultural Sustainability: A Review’.
2013
Ahmed, M., Asif, M., Sajad, M., Khattak, J. Z. K., Ijaz, W., Fayyaz-ul-Hassan, Wasaya, A. & JongAhn, C. (2013) Could agricultural system be adapted to climate change? A review. Australian Journal of Crop Science 7, 1642–1653.
2013
Ahmed, M., Hirani, A. H., Asif, M. & Sajad, M. (2013) Modelling soil water dynamics under rainfed agriculture to mitigate climate change. Journal of Agricultural Science (Toronto) 5, 90–104.
2013
Anonymous (2013) Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation (vol 71, pg 580, 2012). Bragantia 72,.
2013
Araujo, L. C., Santos, P. M., Rodriguez, D., Pezzopane, J. R. M., Oliveira, P. P. A. & Cruz, P. G. (2013) Simulating Guinea Grass Production: Empirical and Mechanistic Approaches. Agronomy Journal 105, 61–69.
2013
Aslam, Z., Ahmed, M., Sajad, M., Asif, M., Akmal, M., Awan, F. K., Ijaz, W., Ashraf, R. & Khattak, J. Z. K. (2013) A comparison of statistical and dynamic modeling of wheat (Triticum aestivum L.) fungal diseases under the climate change. Journal of Food Agriculture & Environment 11, 1327–1332.
2013
Asseng, S., Travasso, M. I., Ludwig, F. & Magrin, G. O. (2013) Has climate change opened new opportunities for wheat cropping in Argentina? Climatic Change 117, 181–196.
2013
Bassu, S., Asseng, S., Giunta, F. & Motzo, R. (2013) Optimizing triticale sowing densities across the Mediterranean Basin. Field Crops Research 144, 167–178.
2013
Biggs, J. S., Thorburn, P. J., Crimp, S., Masters, B. & Attard, S. J. (2013) Interactions between climate change and sugarcane management systems for improving water quality leaving farms in the Mackay Whitsunday region, Australia. Agriculture Ecosystems & Environment 180, 79–89.
2013
Carberry, P. S., Liang, W., Twomlow, S., Holzworth, D. P., Dimes, J. P., McClelland, T., Huth, N. I., Chen, F., Hochman, Z. & Keating, B. A. (2013) Scope for improved eco-efficiency varies among diverse cropping systems. Proceedings of the National Academy of Sciences of the United States of America 110, 8381–8386.
2013
Chauhan, Y. S., Solomon, K. F. & Rodriguez, D. (2013) Characterization of north-eastern Australian environments using APSIM for increasing rainfed maize production. Field Crops Research 144, 245–255.
2013
Chauhan, Y. S., Wright, G. C., Holzworth, D., Rachaputi, R. C. N. & Payero, J. O. (2013) AQUAMAN: a web-based decision support system for irrigation scheduling in peanuts. Irrigation Science 31, 271–283.
2013
Chen, C., Baethgen, W. E. & Robertson, A. (2013) Contributions of individual variation in temperature, solar radiation and precipitation to crop yield in the North China Plain, 1961-2003. Climatic Change 116, 767–788.
2013
Cichota, R., Snow, V. O. & Kelliher, F. M. (2013) Sensitivity analysis to investigate the factors controlling the effectiveness of a nitrification inhibitor in the soil. 20th International Congress on Modelling and Simulation (modsim2013) 1659–1665.
2013
Cichota, R., Snow, V. O. & Vogeler, I. (2013) Modelling nitrogen leaching from overlapping urine patches. Environmental Modelling & Software 41, 15–26.
2013
Cichota, R., Vogeler, I., Snow, V. O. & Webb, T. H. (2013) Ensemble pedotransfer functions to derive hydraulic properties for New Zealand soils. Soil Research 51, 94–111.
2013
Farquharson, R., Abadi, A., Finlayson, J., Ramilan, T., Liu, D. L., Anwar, M. & Clark, S. (2013) Modelling to evaluate agricultural adaptation to climate change in southern Australia. 20th International Congress on Modelling and Simulation (modsim2013) 2366–2372.
2013
Hochman, Z., Gobbett, D., Holzworth, D., McClelland, T., van Rees, H., Marinoni, O., Garcia, J. N. & Horan, H. (2013) Reprint of ‘Quantifying yield gaps in rainfed cropping systems: A case study of wheat in Australia’. Field Crops Research 143, 65–75.
2013
Hunt, J. R., Browne, C., McBeath, T. M., Verburg, K., Craig, S. & Whitbread, A. M. (2013) Summer fallow weed control and residue management impacts on winter crop yield through soil water and N accumulation in a winter-dominant, low rainfall region of southern Australia. Crop & Pasture Science 64, 922–934.
2013
Kandulu, J. M. (2013) Quantifying the extent to which enterprise mix diversification can mitigate economic risk in rainfed agriculture. Australasian Agribusiness Review 21, 1–14.
2013
Kholova, J., McLean, G., Vadez, V., Craufurd, P. & Hammer, G. L. (2013) Drought stress characterization of post-rainy season (rabi) sorghum in India. Field Crops Research 141, 38–46.
2013
King, D., Bryan, B. A., Zhao, G., Luo, Z. & Wang, E. (2013) High-resolution continental scale modelling of Australian wheat yield; biophysical and management drivers. 20th International Congress on Modelling and Simulation (modsim2013) 587–592.
2013
Liu, L., Wang, E., Zhu, Y., Tang, L. & Cao, W. (2013) Quantifying three-decade changes of single rice cultivars in China using crop modeling. Field Crops Research 149, 84–94.
2013
Liu, L., Zhu, Y., Tang, L., Cao, W. & Wang, E. (2013) Impacts of climate changes, soil nutrients, variety types and management practices on rice yield in East China: A case study in the Taihu region. Field Crops Research 149, 40–48.
2013
Liu, Z., Hubbard, K. G., Lin, X. & Yang, X. (2013) Negative effects of climate warming on maize yield are reversed by the changing of sowing date and cultivar selection in Northeast China. Global Change Biology 19, 3481–3492.
2013
LiXia, D., Guang, L., Qiang, L., ZhenGang, Y. & ZhuZhu, L. (2013) Simulation analysis of spring wheat grain yield response to mean daily minimum and maximum temperature in drylands. Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture 21, 1016–1022.
2013
Lobell, D. B., Hammer, G. L., McLean, G., Messina, C., Roberts, M. J. & Schlenker, W. (2013) The critical role of extreme heat for maize production in the United States. Nature Climate Change 3, 497–501.
2013
Lucci, G. M., Shepherd, M. & Vogeler, I. (2013) An assessment of the implications of timing and soil nitrogen dynamics during and after summer drought on Waikato Allophanic soils. Proceedings of the New Zealand Grassland Association 75, 191–196.
2013
Luo, Q. & Kathuria, A. (2013) Modelling the response of wheat grain yield to climate change: a sensitivity analysis. Theoretical and Applied Climatology 111, 173–182.
2013
Luo, Z., Wang, E., Bryan, B. A., King, D., Zhao, G., Pan, X. & Bende-Michl, U. (2013) Meta-modeling soil organic carbon sequestration potential and its application at regional scale. Ecological Applications 23, 408–420.
2013
Luo, Z., Wang, E., Shao, Q. & Baldock, J. A. (2013) Uncertainty in modelled soil organic carbon changes under various cropping systems in Australian cropland. 20th International Congress on Modelling and Simulation (modsim2013) 1673–1679.
2013
LuShuo, XiaoGuang, Y., Jin, Z., ZhiJuan, L., Ke’nan, L., ChenYing, M., XiaoChao, C., FanJun, C. & GuoHua, M. (2013) Effects of climate change and variety alternative on potential yield of spring maize in Northeast China. Transactions of the Chinese Society of Agricultural Engineering 29, 179–190.
2013
Nash, D., Riffkin, P., Harris, R., Blackburn, A., Nicholson, C. & McDonald, M. (2013) Modelling gross margins and potential N exports from cropland in south-eastern Australia. European Journal of Agronomy 47, 23–32.
2013
Peake, A. S., Huth, N. I., Kelly, A. M. & Bell, K. L. (2013) Variation in water extraction with maize plant density and its impact on model application. Field Crops Research 146, 31–37.
2013
Pembleton, K. G., Rawnsley, R. P., Jacobs, J. L., Mickan, F. J., O’Brien, G. N., Cullen, B. R. & Ramilan, T. (2013) Evaluating the accuracy of the Agricultural Production Systems Simulator (APSIM) simulating growth, development, and herbage nutritive characteristics of forage crops grown in the south-eastern dairy regions of Australia. Crop & Pasture Science 64, 147–164.
2013
Perry, E., Morse-McNabb, E., Nuttall, J., O’Leary, G. & Clark, R. (2013) Managing Wheat from Space: Linking Modis Ndvi and Crop Models for Australian Dryland Wheat. 2013 Ieee International Geoscience and Remote Sensing Symposium (igarss) 3243–3245.
2013
Phung, N. T. M., Brown, P. R. & Leung, L. K. P. (2013) Use of computer simulation models to encourage farmers to adopt best rodent management practices in lowland irrigated rice systems in An Giang Province, the Mekong Delta, Vietnam. Agricultural Systems 116, 69–76.
2013
Phung, N. T. M., Brown, P. R. & Leung, L. K. P. (2013) Use of computer simulation models to encourage farmers to adopt best rodent management practices in lowland irrigated rice systems in An Giang Province, the Mekong Delta, Vietnam. Agricultural Systems 116, 69–76.
2013
Ramankutty, P., Ryan, M., Lawes, R., Speijers, J. & Renton, M. (2013) Statistical emulators of a plant growth simulation model. Climate Research 55, 253–+.
2013
Ridoutt, B. G., Wang, E., Sanguansri, P. & Luo, Z. (2013) Life cycle assessment of phosphorus use efficient wheat grown in Australia. Agricultural Systems 120, 2–9.
2013
Shaw, M., Silburn, D. M., Ellis, R., Searle, R., Biggs, J., Thorburn, P. & Whish, G. (2013) Paddock scale modelling to assess effectiveness of agricultural management practice in improving water quality in the Great Barrier Reef Catchments. 20th International Congress on Modelling and Simulation (modsim2013) 3190–3196.
2013
Shaw, R. E., Meyer, W. S., McNeill, A. & Tyerman, S. D. (2013) Waterlogging in Australian agricultural landscapes: a review of plant responses and crop models. Crop & Pasture Science 64, 549–562.
2013
Skocaj, D. M., Hurney, A. P., Inman-Bamber, N. G., Schroeder, B. L. & Everingham, Y. L. (2013) Modelling sugarcane yield response to applied nitrogen fertiliser in a wet tropical environment. Proceedings of the 35th Conference of the Australian Society of Sugar Cane Technologists held at Townsville, Queensland, Australia, 16-18 April 2013 27–Ag 27.
2013
Snapp, S., Kerr, R. B., Smith, A., Ollenburger, M., Mhango, W., Shumba, L., Gondwe, T. & Kanyama-Phiri, G. (2013) Modeling and participatory farmer-led approaches to food security in a changing world: A case study from Malawi. Secheresse (Montrouge) 24, 350–358.
2013
Snow, V. O., Smale, P. N. & Dodd, M. B. (2013) Process-based modelling to understand the impact of ryegrass diversity on production and leaching from grazed grass-clover dairy pastures. Crop & Pasture Science 64, 1020–1031.
2013
Snow, V. O. & White, T. A. (2013) Process-based modelling to understand which ryegrass characteristics can increase production and decrease leaching in grazed grass-legume pastures. Crop & Pasture Science 64, 265–284.
2013
Stuermer, A. & Yin, J. (2013) Pylon Trailing Edge Blowing for the Control of CROR Unsteady Blade Loads. ‘New Results in Numerical and Experimental Fluid Mechanics Viii’. (Eds A Dillmann, G Heller, HP Kreplin, W Nitsche, I Peltzer) pp. 715–722
2013
Thorburn, P. J., Biggs, J. S., MacDonald, B., Allen, D. E. & Denmead, O. T. (2013) What causes nitrous oxide emissions from some sugarcane crops to be so high? Proceedings of the 35th Conference of the Australian Society of Sugar Cane Technologists held at Townsville, Queensland, Australia, 16-18 April 2013 40–Ag 40.
2013
Turner, N. C. & Rao, K. P. C. (2013) Simulation analysis of factors affecting sorghum yield at selected sites in eastern and southern Africa, with emphasis on increasing temperatures. Agricultural Systems 121, 53–62.
2013
Vogeler, I., Beukes, P. & Burggraaf, V. (2013) Evaluation of mitigation strategies for nitrate leaching on pasture-based dairy systems. Agricultural Systems 115, 21–28.
2013
Vogeler, I., Cichota, R. & Giltrap, D. (2013) Nitrogen cycling under urine patches: Model comparison and sensitivity analysis. 20th International Congress on Modelling and Simulation (modsim2013) 1687–1693.
2013
Vogeler, I., Cichota, R. & Snow, V. (2013) Identification and testing of early indicators for N leaching from urine patches. Journal of Environmental Management 130, 55–63.
2013
Vogeler, I., Giltrap, D. & Cichota, R. (2013) Comparison of APSIM and DNDC simulations of nitrogen transformations and N2O emissions. Science of the Total Environment 465, 147–155.
2013
Wang, E., Ridoutt, B. G., Luo, Z. & Probert, M. E. (2013) Using systems modelling to explore the potential for root exudates to increase phosphorus use efficiency in cereal crops. Environmental Modelling & Software 46, 50–60.
2013
Wang, J., Wang, E., Feng, L., Yin, H. & Yu, W. (2013) Phenological trends of winter wheat in response to varietal and temperature changes in the North China Plain. Field Crops Research 144, 135–144.
2013
Xing, H., Liu, D. L., Wang, E., Smith, C. J., Anwar, M. R. & Yu, Q. (2013) Modelling the response of N2O emission factor to nitrogen application rates and inter-annual climate variability. 20th International Congress on Modelling and Simulation (modsim2013) 1694–1699.
2013
Yang, X., Asseng, S., Wong, M. T. F., Yu, Q., Li, J. & Liu, E. (2013) Quantifying the interactive impacts of global dimming and warming on wheat yield and water use in China. Agricultural and Forest Meteorology 182, 342–351.
2013
Yunusa, I. A. M., Manoharan, V., Harris, R., Lawrie, R., Pal, Y., Quiton, J. T., Bell, R. & Eamus, D. (2013) Differential growth and yield by canola (Brassica napus L.) and wheat (Triticum aestivum L.) arising from alterations in chemical properties of sandy soils due to additions of fly ash. Journal of the Science of Food and Agriculture 93, 995–1002.
2013
Zhang, Y., Feng, L. P., Wang, J., Wang, E. L. & Xu, Y. L. (2013) Using APSIM to explore wheat yield response to climate change in the North China Plain: the predicted adaptation of wheat cultivar types to vernalization. Journal of Agricultural Science 151, 836–848.
2013
Zhao, G., Bryan, B. A., King, D., Luo, Z., Wang, E., Bende-Michl, U., Song, X. & Yu, Q. (2013) Large-scale, high-resolution agricultural systems modeling using a hybrid approach combining grid computing and parallel processing. Environmental Modelling & Software 41, 231–238.
2013
Zhao, G., Bryan, B. A., King, D., Luo, Z., Wang, E., Song, X. & Yu, Q. (2013) Impact of agricultural management practices on soil organic carbon: simulation of Australian wheat systems. Global Change Biology 19, 1585–1597.
2013
Zhao, Z., Wang, E., Xue, L., Wu, Y., Zhang, J. & Wang, Z. (2013) Accuracy of root modeling and its potential impact on simulation of grain yield of wheat. 20th International Congress on Modelling and Simulation (modsim2013) 656–662.
2013
Zheng, B., Biddulph, B., Li, D., Kuchel, H. & Chapman, S. (2013) Quantification of the effects of VRN1 and Ppd-D1 to predict spring wheat (Triticum aestivum) heading time across diverse environments. Journal of Experimental Botany 64, 3747–3761.
2012
Adam, M., Corbeels, M., Leffelaar, P. A., Van Keulen, H., Wery, J. & Ewert, F. (2012) Building crop models within different crop modelling frameworks. Agricultural Systems 113, 57–63.
2012
Asseng, S., McIntosh, P. C., Wang, G. & Khimashia, N. (2012) Optimal N fertiliser management based on a seasonal forecast. European Journal of Agronomy 38, 66–73.
2012
Asseng, S., Thomas, D., McIntosh, P., Alves, O. & Khimashia, N. (2012) Managing mixed wheat-sheep farms with a seasonal forecast. Agricultural Systems 113, 50–56.
2012
Chapman, D. F., Dassanayake, K., Hill, J. O., Cullen, B. R. & Lane, N. (2012) Forage-based dairying in a water-limited future: Use of models to investigate farming system adaptation in southern Australia. Journal of Dairy Science 95, 4153–4175.
2012
Cichota, R., Snow, V. O., Vogeler, I., Wheeler, D. M. & Shepherd, M. A. (2012) Describing N leaching from urine patches deposited at different times of the year with a transfer function. Soil Research 50, 694–707.
2012
Denmead, O. T., Macdonald, B. C. T., EnLi, W., HongTao, X., Smith, C. J., DeLi, C. & Turner, D. M. (2012) Linking models and measurements of soil nitrogen emissions on a field scale. Soils Newsletter 34, 7–8.
2012
Fosu-Mensah, B. Y., MacCarthy, D. S., Vlek, P. L. G. & Safo, E. Y. (2012) Simulating impact of seasonal climatic variation on the response of maize (Zea mays L.) to inorganic fertilizer in sub-humid Ghana. Nutrient Cycling in Agroecosystems 94, 255–271.
2012
Gaydon, D. S. (2012) ‘Living with less water: development of viable adaptation options for Riverina irrigators.’
2012
Gaydon, D. S., Meinke, H. & Rodriguez, D. (2012) The best farm-level irrigation strategy changes seasonally with fluctuating water availability. Agricultural Water Management 103, 33–42.
2012
Gaydon, D. S., Probert, M. E., Buresh, R. J., Meinke, H., Suriadi, A., Dobermann, A., Bouman, B. & Timsina, J. (2012) Rice in cropping systems-Modelling transitions between flooded and non-flooded soil environments. European Journal of Agronomy 39, 9–24.
2012
Gaydon, D. S., Probert, M. E., Buresh, R. J., Meinke, H. & Timsina, J. (2012) Modelling the role of algae in rice crop nutrition and soil organic carbon maintenance. European Journal of Agronomy 39, 35–43.
2012
Guang, L., Yue, L., GaoBao, H., ZhuZhu, L., Qi, W., Qiang, L., ZhenGang, Y. & YouYi, Z. (2012) The effects of climate change on dryland wheat production under different tillage systems. Acta Prataculturae Sinica 21, 160–168.
2012
Guang, L., Yue, L., GaoBao, H., ZhuZhu, L., Qi, W., Qiang, L., ZhenGang, Y. & YouYi, Z. (2012) Response of dryland spring wheat yield to elevated CO 2 concentration and temperature by APSIM model. Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture 20, 1088–1095.
2012
Heiman, P., Malone, R. W., Ma, L., Hatfield, J. L., Ahuja, L. R., Boyle, K. P. & Kanwar, R. S. (2012) Extending results from agricultural fields with intensively monitored data to surrounding areas for water quality management. Agricultural Systems 106, 59–71.
2012
Heinemann, A. B., van Oort, P. A. J., Fernandes, D. S. & Nunes Maia, A. de H. (2012) Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation. Bragantia 71, 572–582.
2012
Hochman, Z., Gobbett, D., Holzworth, D., McClelland, T., van Rees, H., Marinoni, O., Garcia, J. N. & Horan, H. (2012) Quantifying yield gaps in rainfed cropping systems: A case study of wheat in Australia. Field Crops Research 136, 85–96.
2012
Huth, N. I., Bristow, K. L. & Verburg, K. (2012) Swim3: Model Use, Calibration, and Validation. Transactions of the Asabe 55, 1303–1313.
2012
Inman-Bamber, N. G., Lakshmanan, P. & Park, S. (2012) Sugarcane for water-limited environments: Theoretical assessment of suitable traits. Field Crops Research 134, 95–104.
2012
Islam, M. R., Garcia, S. C. & Kerrisk, K. L. (2012) ‘A modelling approach to screen grazeable forage options for automatic milking system herds.’
2012
Jing, W., XiaoGuang, Y., LuShuo, ZhiJuan, L., KeNan, L., Xin, X., Yuan, L. & EnLi, W. (2012) Spatial-temporal characteristics of potential yields and yield gaps of spring maize in Heilongjiang Province. Scientia Agricultura Sinica 45, 1914–1925.
2012
Kandulu, J. M., Bryan, B. A., King, D. & Connor, J. D. (2012) Mitigating economic risk from climate variability in rain-fed agriculture through enterprise mix diversification. Ecological Economics 79, 105–112.
2012
Kelly, L. A., Ryley, M. J., Trevorrow, P. R., Tatnell, J. R., Nastasi, C. & Chauhan, Y. (2012) Reduced fungicide use on a new Australian peanut cultivar, highly resistant to the late leaf spot and rust pathogens. Australasian Plant Pathology 41, 359–373.
2012
KeNan, L., XiaoGuang, Y., Yuan, L., Xin, X., ZhiJuan, L., Jing, W., LuShuo & EnLi, W. (2012) Distribution characteristics of winter wheat yield and its influenced factors in North China. Acta Agronomica Sinica 38, 1483–1493.
2012
Kloss, S., Pushpalatha, R., Kamoyo, K. J. & Schuetze, N. (2012) Evaluation of Crop Models for Simulating and Optimizing Deficit Irrigation Systems in Arid and Semi-arid Countries Under Climate Variability. Water Resources Management 26, 997–1014.
2012
Kragt, M. E., Pannell, D. J., Robertson, M. J. & Thamo, T. (2012) Assessing costs of soil carbon sequestration by crop-livestock farmers in Western Australia. Agricultural Systems 112, 27–37.
2012
Lawes, R. A. & Robertson, M. J. (2012) Effect of subtropical perennial grass pastures on nutrients and carbon in coarse-textured soils in a Mediterranean climate. Soil Research 50, 551–561.
2012
Li, F. Y., Vibart, R., Dynes, R. A., Vogeler, I. & Brown, M. (2012) Effects of weather variability on sheep and beef farming in northern Southland, New Zealand: A modelling analysis. ‘Proceedings of the New Zealand Grassland Association, Vol 74’. pp. 77–83
2012
Liu, Z., Yang, X., Hubbard, K. G. & Lin, X. (2012) Maize potential yields and yield gaps in the changing climate of northeast China. Global Change Biology 18, 3441–3454.
2012
McCarthy, D. S. & Vlek, P. L. G. (2012) Impact of climate change on sorghum production under different nutrient and crop residue management in semi-arid region of Ghana: a modeling perspective. African Crop Science Journal 20, 243–259.
2012
Mohanty, M., Probert, M. E., Reddy, K. S., Dalal, R. C., Mishra, A. K., Rao, A. S., Singh, M. & Menzies, N. W. (2012) Simulating soybean-wheat cropping system: APSIM model parameterization and validation. Agriculture Ecosystems & Environment 152, 68–78.
2012
Moot, D. J. (2012) An overview of dryland legume research in New Zealand. Crop & Pasture Science 63, 726–733.
2012
Nair, S. S., Kang, S., Zhang, X., Miguez, F. E., Izaurralde, R. C., Post, W. M., Dietze, M. C., Lynd, L. R. & Wullschleger, S. D. (2012) Bioenergy crop models: descriptions, data requirements, and future challenges. Global Change Biology Bioenergy 4, 620–633.
2012
do Nascimento, A. F., Mendona, E. de S., Carvalho Leite, L. F., Scholberg, J. & Lima Neves, J. C. (2012) Calibration and validation of models for short-term decomposition and N mineralization of plant residues in the tropics. Scientia Agricola 69, 393–401.
2012
do Nascimento, A. F., Mendonca, E. de S., Leite, L. F. C., Scholberg, J. & Neves, J. C. L. (2012) Calibration and validation of models for short-term decomposition and N mineralization of plant residues in the tropics. Scientia Agricola 69, 393–401.
2012
Nidumolu, U. B., Hayman, P. T., Howden, S. M. & Alexander, B. M. (2012) Re-evaluating the margin of the South Australian grain belt in a changing climate. Climate Research 51, 249–260.
2012
Nuttall, J. G., O’Leary, G. J., Khimashia, N., Asseng, S., Fitzgerald, G. & Norton, R. (2012) ‘Haying-off’ in wheat is predicted to increase under a future climate in south-eastern Australia. Crop & Pasture Science 63, 593–605.
2012
van Opstal, J. D., Huibers, F. P. & Cresswell, R. G. (2012) A participatory modelling approach to define farm-scale effects of reclaimed wastewater irrigation in the Lockyer Valley, Australia. Water International 37, 843–858.
2012
Perry, E. M., Fitzgerald, G. J., Nuttall, J. G., O’Leary, G. J., Schulthess, U. & Whitlock, A. (2012) Rapid estimation of canopy nitrogen of cereal crops at paddock scale using a Canopy Chlorophyll Content Index. Field Crops Research 134, 158–164.
2012
Schnell, R., Yin, J., Voss, C. & Nicke, E. (2012) Assessment and Optimization of the Aerodynamic and Acoustic Characteristics of a Counter Rotating Open Rotor. Journal of Turbomachinery-Transactions of the Asme 134, 061016.
2012
Stone, L. F. & Heinemann, A. B. (2012) Simulation of nitrogen management in upland rice with ORYZA/APSIM 2000 model. Revista Brasileira De Engenharia Agricola E Ambiental 16, 611–617.
2012
Tidjani, M. A. & Akponikpe, P. B. I. (2012) Evaluation of farmers’ strategies to climate change adaptation: the case of corn production in northern Benin. African Crop Science Journal 20, 425–441.
2012
Timms, W. A., Young, R. R. & Huth, N. (2012) Implications of deep drainage through saline clay for groundwater recharge and sustainable cropping in a semi-arid catchment, Australia. Hydrology and Earth System Sciences 16, 1203–1219.
2012
Tumbo, S. D., Kahimba, F. C., Mbilinyi, B. P., Rwehumbiza, F. B., Mahoo, H. F., Mbungu, W. B. & Enfors, E. (2012) Impact of projected climate change on agricultural production in semi-arid areas of Tanzania: a case of same district. African Crop Science Journal 20, 453–463.
2012
Verburg, K., Bond, W. J. & Hunt, J. R. (2012) Fallow management in dryland agriculture: Explaining soil water accumulation using a pulse paradigm. Field Crops Research 130, 68–79.
2012
Wang, J., Wang, E., Yang, X., Zhang, F. & Yin, H. (2012) Increased yield potential of wheat-maize cropping system in the North China Plain by climate change adaptation. Climatic Change 113, 825–840.
2012
Wang, S., Wang, E., Wang, F. & Tang, L. (2012) Phenological development and grain yield of canola as affected by sowing date and climate variation in the Yangtze River Basin of China. Crop & Pasture Science 63, 478–488.
2012
White, T. A. & Snow, V. O. (2012) A modelling analysis to identify plant traits for enhanced water-use efficiency of pasture. Crop & Pasture Science 63, 63–76.
2012
Zhang, Y., Feng, L., Wang, E., Wang, J. & Li, B. (2012) Evaluation of the APSIM-Wheat model in terms of different cultivars, management regimes and environmental conditions. Canadian Journal of Plant Science 92, 937–949.
2012
Zhao, G., Song, X., Yan, C. & Yu, Q. (2012) ‘Porting a Process-Based Crop Model to a High-Performance Computing Environment for Plant Simulation’.
2012
ZhiJuan, L., XiaoGuang, Y., Jing, W., LuShuo, KeNan, L., Xin, X. & EnLi, W. (2012) Adaptability of APSIM maize model in northeast China. Acta Agronomica Sinica 38, 740–746.
2011
Ahmed, M. & Fayyaz-ul-Hassan (2011) APSIM and DSSAT models as decision support tools. 19th International Congress on Modelling and Simulation (modsim2011) 1174–1180.
2011
Akponikpe, P. B. I., Minet, J., Gerard, B., Defourny, P. & Bielders, C. L. (2011) Spatial fields’ dispersion as a farmer strategy to reduce agro-climatic risk at the household level in pearl millet-based systems in the Sahel: A modeling perspective. Agricultural and Forest Meteorology 151, 215–227.
2011
Asseng, S., Foster, I. & Turner, N. C. (2011) The impact of temperature variability on wheat yields. Global Change Biology 17, 997–1012.
2011
Balwinder-Singh, Gaydon, D. S., Humphreys, E. & Eberbach, P. L. (2011) The effects of mulch and irrigation management on wheat in Punjab, India-Evaluation of the APSIM model. Field Crops Research 124, 1–13.
2011
Bassu, S., Asseng, S. & Richards, R. (2011) Yield benefits of triticale traits for wheat under current and future climates. Field Crops Research 124, 14–24.
2011
Bell, L. W., Kirkegaard, J. A., Swan, A., Hunt, J. R., Huth, N. I. & Fettell, N. A. (2011) Impacts of soil damage by grazing livestock on crop productivity. Soil & Tillage Research 113, 19–29.
2011
Beukes, P. C., Romera, A. J., Gregorini, P., Clark, D. A. & Chapman, D. F. (2011) Using a whole farm model linked to the APSIM suite to predict production, profit and N leaching for next generation dairy systems in the Canterbury region of New Zealand. 19th International Congress on Modelling and Simulation (modsim2011) 760–766.
2011
Brown, H. E., Huth, N. & Holzworth, D. (2011) A potato model built using the APSIM Plant.NET Framework. 19th International Congress on Modelling and Simulation (modsim2011) 961–967.
2011
Brown, P. R., Phung, N. T. M. & Gaydon, D. S. (2011) Rats in rice: linking crop and pest models to explore management strategies. Wildlife Research 38, 560–567.
2011
Carberry, P. S., Poulton, P. L. & Dalgliesh, N. P. (2011) ‘Potential yields for wheat crops.’
2011
Chen, C., Baethgen, W. E., Wang, E. & Yu, Q. (2011) Characterizing spatial and temporal variability of crop yield caused by climate and irrigation in the North China Plain. Theoretical and Applied Climatology 106, 365–381.
2011
Chenu, K., Cooper, M., Hammer, G. L., Mathews, K. L., Dreccer, M. F. & Chapman, S. C. (2011) Environment characterization as an aid to wheat improvement: interpreting genotype-environment interactions by modelling water-deficit patterns in North-Eastern Australia. Journal of Experimental Botany 62, 1743–1755.
2011
Cichota, R. & Snow, V. O. (2011) Simplifying pastoral systems modelling – accounting for the effect of urine deposition on N leaching. 19th International Congress on Modelling and Simulation (modsim2011) 788–794.
2011
Dixit, P. N., Cooper, P. J. M., Dimes, J. & Rao, K. P. (2011) Adding Value to Field-Based Agronomic Research Through Climate Risk Assessment: A Case Study of Maize Production in Kitale, Kenya. Experimental Agriculture 47, 317–338.
2011
Fletcher, A. L., Brown, H. E., Johnstone, P. R., de Ruiter, J. M. & Zyskowski, R. F. (2011) Making sense of yield trade-offs in a crop sequence: A New Zealand case study. Field Crops Research 124, 149–156.
2011
Florin, M. J., McBratney, A. B., Whelan, B. M. & Minasny, B. (2011) Inverse meta-modelling to estimate soil available water capacity at high spatial resolution across a farm. Precision Agriculture 12, 421–438.
2011
Guang, L., GaoBao, H., Qi, W. & ZhuZhu, L. (2011) Analysis of cooperation effect of water and fertilizer on wheat and pea in dryland based on APSIM model. Acta Prataculturae Sinica 20, 151–159.
2011
Holzworth, D. P., Huth, N. I. & deVoil, P. G. (2011) Simple software processes and tests improve the reliability and usefulness of a model. Environmental Modelling & Software 26, 510–516.
2011
HongXin, C., SuoLao, Z., DaoKuo, G., YongXia, L., Yan, L., JinYing, S., YanBin, Y., ZhiYou, Z. & YuLi, C. (2011) Discussion on development of crop models. Scientia Agricultura Sinica 44, 3520–3528.
2011
Hunt, J. R. & Kirkegaard, J. A. (2011) Re-evaluating the contribution of summer fallow rain to wheat yield in southern Australia. Crop & Pasture Science 62, 915–929.
2011
Huth, N. I. & Holzworth, D. P. (2011) Virtual plant improvement via the cross-fertilisation of ideas. 19th International Congress on Modelling and Simulation (modsim2011) 989–994.
2011
Kabir, M. J. & Rawson, H. M. (2011) ‘Economics of Rabi crops and common rotations.’
2011
Kingston, G. (2011) Evaluation of crop growth modelling to support estimates of seasonal cane yield for three mill zones in southern Queensland. Proceedings of the 2011 Conference of the Australian Society of Sugar Cane Technologists held at Mackay, Queensland, Australia, 4-6 May 2011 34–Ag 34.
2011
Li, F. Y., Snow, V. O. & Holzworth, D. P. (2011) Modelling the seasonal and geographical pattern of pasture production in New Zealand. New Zealand Journal of Agricultural Research 54, 331–352.
2011
Lilley, J. M. & Kirkegaard, J. A. (2011) Benefits of increased soil exploration by wheat roots. Field Crops Research 122, 118–130.
2011
Lisson, S. N. & Cotching, W. E. (2011) Modelling the fate of water and nitrogen in the mixed vegetable farming systems of northern Tasmania, Australia. Agricultural Systems 104, 600–608.
2011
Lopes, D. de C. & Steidle Neto, A. J. (2011) Simulation models applied to crops with potential for biodiesel production. Computers and Electronics in Agriculture 75, 1–9.
2011
Luo, Z., Wang, E. & Bryan, B. (2011) A meta-model for soil carbon stock in agricultural soils. 19th International Congress on Modelling and Simulation (modsim2011) 795–800.
2011
Luo, Z., Wang, E., Sun, O. J., Smith, C. J. & Probert, M. E. (2011) Modeling long-term soil carbon dynamics and sequestration potential in semi-arid agro-ecosystems. Agricultural and Forest Meteorology 151, 1529–1544.
2011
McMaster, G. S., Edmunds, D. A., Wilhelm, W. W., Nielsen, D. C., Prasad, P. V. V. & Ascough, J. C. (2011) PhenologyMMS: A program to simulate crop phenological responses to water stress. Computers and Electronics in Agriculture 77, 118–125.
2011
Mohanty, M., Probert, M. E., Reddy, K. S., Dalal, R. C., Rao, A. S. & Menzies, N. W. (2011) Modelling N mineralization from high C:N crop residues. Agrochimica 55, 178–192.
2011
Mohanty, M., Reddy, K. S., Probert, M. E., Dalal, R. C., Rao, A. S. & Menzies, N. W. (2011) Modelling N mineralization from green manure and farmyard manure from a laboratory incubation study. Ecological Modelling 222, 719–726.
2011
Moore, A. D., Robertson, M. J. & Routley, R. (2011) Evaluation of the water use efficiency of alternative farm practices at a range of spatial and temporal scales: A conceptual framework and a modelling approach. Agricultural Systems 104, 162–174.
2011
Mupangwa, W., Dimes, J., Walker, S. & Twomlow, S. (2011) Measuring and simulating maize ( Zea mays L.) yield responses to reduced tillage and mulching under semi-arid conditions. Agricultural Sciences 2, 167–174.
2011
Mupangwa, W. & Jewitt, G. P. W. (2011) Simulating the impact of no-till systems on field water fluxes and maize productivity under semi-arid conditions. Physics and Chemistry of the Earth 36, 1004–1011.
2011
do Nascimento, A. F., Mendonca, E. de S., Leite, L. F. C. & Neves, J. C. L. (2011) Calibration of the century, apsim and ndicea models of decomposition and N mineralization of plant residues in the humid tropics. Revista Brasileira de Ciencia do Solo 35, 917–928.
2011
do Naseimento, A. F., Mendonca, E. de S., Carvalho Leite, L. F. & Lima Neves, J. C. (2011) Calibration of the Century, Apsim and Ndicea Models of Decomposition and N Mineralization of Plant Residues in the Humid Tropics. Revista Brasileira De Ciencia Do Solo 35, 917–928.
2011
Parsons, D., Nicholson, C. F., Blake, R. W., Ketterings, Q. M., Ramirez-Aviles, L., Fox, D. G., Tedeschi, L. O. & Cherney, J. H. (2011) Development and evaluation of an integrated simulation model for assessing smallholder crop-livestock production in Yucatan, Mexico. Agricultural Systems 104, 1–12.
2011
Pembleton, K. G., Rawnsley, R. P. & Donaghy, D. J. (2011) Yield and water-use efficiency of contrasting lucerne genotypes grown in a cool temperate environment. Crop & Pasture Science 62, 610–623.
2011
Power, B., Rodriguez, D., deVoil, P., Harris, G. & Payero, J. (2011) A multi-field bio-economic model of irrigated grain-cotton farming systems. Field Crops Research 124, 171–179.
2011
Ramilan, T., Farquharson, R., George, B., Sammonds, D. M., Vietz, G., Yen, J., Shenton, W., Dassanyake, K., Cullen, B., Stewardson, M. & Western, A. (2011) An environmental economic assessment of water sharing alternatives for the Broken catchment in the Northern Victoria. 19th International Congress on Modelling and Simulation (modsim2011) 1386–1392.
2011
Romera, A. J., Levy, G., Beukes, P. C., Clark, D. A. & Glassey, C. B. (2011) Linking a whole farm model to the APSIM suite to predict N leaching on New Zealand dairy farms. 19th International Congress on Modelling and Simulation (modsim2011) 863–869.
2011
Sharp, J. M., Thomas, S. M. & Brown, H. E. (2011) A validation of APSIM nitrogen balance and leaching predictions. Agronomy New Zealand 41, 67–77.
2011
Smit, M. A. (2011) Characterising the factors that affect germination and emergence in sugarcane. International Sugar Journal 113, 65–67.
2011
Thorburn, P. J., Biggs, J. S., Attard, S. J. & Kemei, J. (2011) Environmental impacts of irrigated sugarcane production: Nitrogen lost through runoff and leaching. Agriculture Ecosystems & Environment 144, 1–12.
2011
Thorburn, P. J., Jakku, E., Webster, A. J. & Everingham, Y. L. (2011) Agricultural decision support systems facilitating co-learning: a case study on environmental impacts of sugarcane production. International Journal of Agricultural Sustainability 9, 322–333.
2011
Vogeler, I., Cichota, R., Snow, V. & Jolly, B. (2011) Development and desktop-assessment of a concept to forecast and mitigate N leaching from dairy farms. 19th International Congress on Modelling and Simulation (modsim2011) 891–897.
2011
Vogeler, I., Giltrap, D., Li, F. & Snow, V. (2011) Comparison of models for predicting nitrification, denitrification and nitrous oxide emissions in pastoral systems. 19th International Congress on Modelling and Simulation (modsim2011) 884–890.
2011
Wang, J., Wang, E. & Liu, D. L. (2011) Modelling the impacts of climate change on wheat yield and field water balance over the Murray-Darling Basin in Australia. Theoretical and Applied Climatology 104, 285–300.
2011
Xing, H., Wang, E., Smith, C. J., Rolston, D. & Yu, Q. (2011) Modelling nitrous oxide and carbon dioxide emission from soil in an incubation experiment. Geoderma 167-68, 328–339.
2011
XinGuang, Z., GuiLian, Z., Tholen, D., Yu, W., ChangPeng, X. & QingFeng, S. (2011) The next generation models for crops and agro-ecosystems. Science China-Information Sciences 54, 589–597.
2011
Yang, X., Chen, C., Luo, Q., Li, L. & Yu, Q. (2011) Climate change effects on wheat yield and water use in oasis cropland. International Journal of Plant Production 5, 83–94.
2011
Yang, Y., Wilson, L. T., Wang, J. & Li, X. (2011) Development of an integrated Cropland and Soil Data Management system for cropping system applications. Computers and Electronics in Agriculture 76, 105–118.
2010
Adam, M. (2010) ‘A framework to introduce flexibility in crop modelling: from conceptual modelling to software engineering and back.’
2010
Adam, M., Ewert, F., Leffelaar, P. A., Corbeels, M., van Keulen, H. & Wery, J. (2010) CROSPAL, software that uses agronomic expert knowledge to assist modules selection for crop growth simulation. Environmental Modelling & Software 25, 946–955.
2010
Akponikpe, P. B. I., Gerard, B., Michels, K. & Bielders, C. (2010) Use of the APSIM model in long term simulation to support decision making regarding nitrogen management for pearl millet in the Sahel. European Journal of Agronomy 32, 144–154.
2010
Antonopoulou, E., Karetsos, S. T., Maliappis, M. & Sideridis, A. B. (2010) Web and mobile technologies in a prototype DSS for major field crops. Computers and Electronics in Agriculture 70, 292–301.
2010
Bell, L. W. (2010) Impacts of soil compaction by livestock on crop productivity – a modelling analysis. Proceedings of the 19th World Congress of Soil Science: Soil solutions for a changing world, Brisbane, Australia, 1-6 August 2010. Symposium 3.1.2 Farm system and environment impacts 117–120.
2010
Brown, P. D., Cochrane, T. A. & Krom, T. D. (2010) Optimal on-farm irrigation scheduling with a seasonal water limit using simulated annealing. Agricultural Water Management 97, 892–900.
2010
Chauhan, Y. S. (2010) Potential productivity and water requirements of maize-peanut rotations in Australian semi-arid tropical environments-A crop simulation study. Agricultural Water Management 97, 457–464.
2010
Chauhan, Y. S., Wright, G. C., Rachaputi, R. C. N., Holzworth, D., Broome, A., Krosch, S. & Robertson, M. J. (2010) Application of a model to assess aflatoxin risk in peanuts. Journal of Agricultural Science 148, 341–351.
2010
Chen, C., Wang, E. & Yu, Q. (2010) Modelling the effects of climate variability and water management on crop water productivity and water balance in the North China Plain. Agricultural Water Management 97, 1175–1184.
2010
Chen, C., Wang, E. & Yu, Q. (2010) Modeling Wheat and Maize Productivity as Affected by Climate Variation and Irrigation Supply in North China Plain. Agronomy Journal 102, 1037–1049.
2010
Chen, C., Wang, E., Yu, Q. & Zhang, Y. (2010) Quantifying the effects of climate trends in the past 43 years (1961-2003) on crop growth and water demand in the North China Plain. Climatic Change 100, 559–578.
2010
Cichota, R., Vogeler, I. & Snow, V. (2010) Describing N leaching under urine patches in pastoral soils. Proceedings of the 19th World Congress of Soil Science: Soil solutions for a changing world, Brisbane, Australia, 1-6 August 2010. Symposium 4.1.2 Management and protection of receiving environments 34–37.
2010
Cichota, R., Vogeler, I., Snow, V. O. & Shepperd, M. (2010) Modelling the effect of a nitrification inhibiter on N leaching from grazed pastures. Proceedings of the New Zealand Grassland Association 72, 43–47.
2010
Cox, H. W., Kelly, R. M. & Strong, W. M. (2010) Pulse crops in rotation with cereals can be a profitable alternative to nitrogen fertiliser in central Queensland. Crop & Pasture Science 61, 752–762.
2010
EnLi, W., ZhongKui, L. & Smith, C. J. (2010) Potential change of soil carbon in Australian agro-ecosystems as affected by conservation management: data synthesis and modelling. Proceedings of the 19th World Congress of Soil Science: Soil solutions for a changing world, Brisbane, Australia, 1-6 August 2010. Working Group 4.1 Carbon sequestation on degraded lands 57–60.
2010
Florin, M. J., McBratney, A. B. & Whelan, B. M. (2010) ‘Inverse Meta-modelling of Yield-Monitor Data for Estimating Soil-Available Water-Holding Capacities at a Farm Resolution of 10 m’.
2010
Gaiser, T., de Barros, I., Sereke, F. & Lange, F.-M. (2010) Validation and reliability of the EPIC model to simulate maize production in small-holder farming systems in tropical sub-humid West Africa and semi-arid Brazil. Agriculture Ecosystems & Environment 135, 318–327.
2010
Guang, L. & GaoBao, H. (2010) Determination of the effect of precipitation distribution on yield of wheat and pea in dryland using APSIM. Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture 18, 342–347.
2010
Hammer, G. L., van Oosterom, E., McLean, G., Chapman, S. C., Broad, I., Harland, P. & Muchow, R. C. (2010) Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops. Journal of Experimental Botany 61, 2185–2202.
2010
Hayman, P. T., Whitbread, A. M. & Gobbett, D. L. (2010) The impact of El Nino Southern Oscillation on seasonal drought in the southern Australian grainbelt (vol 61, pg 528, 2010). Crop & Pasture Science 61, 677–539.
2010
Hayman, P. T., Whitbread, A. M. & Gobbett, D. L. (2010) The impact of El Nino Southern Oscillation on seasonal drought in the southern Australian grainbelt. Crop & Pasture Science 61, 528–539.
2010
Holzworth, D. P., Huth, N. I. & de Voil, P. G. (2010) Simplifying environmental model reuse. Environmental Modelling & Software 25, 269–275.
2010
Hong-wei, Z., Huai-liang, C., Chun-hui, Z. & Wei-dong, Y. (2010) The Review of Dynamic Monitoring Technology for Crop Growth. Remote Sensing and Modeling of Ecosystems for Sustainability Vii 7809, 78090U.
2010
Hong-wei, Z., Huai-liang, C., Chun-hui, Z. & Wei-dong, Y. (2010) The Review of Dynamic Monitoring Technology for Crop Growth. Remote Sensing for Agriculture, Ecosystems, and Hydrology Xii 7824, 78242L.
2010
Huth, N. I., Thorburn, P. J., Radford, B. J. & Thornton, C. M. (2010) Impacts of fertilisers and legumes on N2O and CO2 emissions from soils in subtropical agricultural systems: A simulation study. Agriculture Ecosystems & Environment 136, 351–357.
2010
Kirkegaard, J. A. & Hunt, J. R. (2010) Increasing productivity by matching farming system management and genotype in water-limited environments. Journal of Experimental Botany 61, 4129–4143.
2010
Lawes, R. & Renton, M. (2010) The Land Use Sequence Optimiser (LUSO): A theoretical framework for analysing crop sequences in response to nitrogen, disease and weed populations. Crop & Pasture Science 61, 835–843.
2010
Lisson, S., MacLeod, N., McDonald, C., Corfield, J., Pengelly, B., Wirajaswadi, L., Rahman, R., Bahar, S., Padjung, R., Razak, N., Puspadi, K., Dahlanuddin, Sutaryono, Y., Saenong, S., Panjaitan, T., Hadiawati, L., Ash, A. & Brennan, L. (2010) A participatory, farming systems approach to improving Bali cattle production in the smallholder crop-livestock systems of Eastern Indonesia. Agricultural Systems 103, 486–497.
2010
Liu, Y., Wang, E., Yang, X. & Wang, J. (2010) Contributions of climatic and crop varietal changes to crop production in the North China Plain, since 1980s. Global Change Biology 16, 2287–2299.
2010
Lorenconi, R., Dourado Neto, D. & Heinemann, A. B. (2010) Calibration and evaluation of the ORYZA-APSIM crop model for upland rice in Brazil. Revista Ciencia Agronomica 41, 605–613.
2010
Lorenconi, R., Dourado Neto, D., Heinemann, A. B., Soares, L. C. da S. & da Siva, A. N. (2010) Calibration of the ORYZA-APSIM model for the upland rice in Brazil. Revista de Agricultura (Piracicaba) 85, 237–244.
2010
Ludwig, F. & Asseng, S. (2010) Potential benefits of early vigor and changes in phenology in wheat to adapt to warmer and drier climates. Agricultural Systems 103, 127–136.
2010
Luo, Q., Bellotti, W., Hayman, P., Williams, M. & Devoil, P. (2010) Effects of changes in climatic variability on agricultural production. Climate Research 42, 111–117.
2010
Mabapa, P. M., Ogola, J. B. O., Odhiambo, J. J. O., Whitbread, A. & Hargreaves, J. (2010) Effect of phosphorus fertilizer rates on growth and yield of three soybean (Glycine max) cultivars in Limpopo Province. African Journal of Agricultural Research 5, 2653–2660.
2010
Manschadi, A. M., Christopher, J. T., Hammer, G. L. & Devoil, P. (2010) Experimental and modelling studies of drought-adaptive root architectural traits in wheat (Triticum aestivum L.). Plant Biosystems 144, 458–462.
2010
Mkoga, Z. J., Tumbo, S. D., Kihupi, N. & Semoka, J. (2010) Extrapolating effects of conservation tillage on yield, soil moisture and dry spell mitigation using simulation modelling. Physics and Chemistry of the Earth 35, 686–698.
2010
Mohanty, M., Probert, M. E., Reddy, K. S., Dalal, R. C., Rao, A. S. & Menzies, N. W. (2010) Modelling N mineralization from high C:N rice and wheat crop residues. Proceedings of the 19th World Congress of Soil Science: Soil solutions for a changing world, Brisbane, Australia, 1-6 August 2010. Symposium 1.5.2 Modelling critical processes in changing soil 28–31.
2010
Mohanty, M., Probert, M. E., Reddy, K. S., Dalal, R. C., Rao, A. S. & Menzies, N. W. (2010) Modelling N mineralization from green manure and farmyard manure from a laboratory incubation study. Proceedings of the 19th World Congress of Soil Science: Soil solutions for a changing world, Brisbane, Australia, 1-6 August 2010. Symposium 1.5.2 Modelling critical processes in changing soil 24–27.
2010
Odhiambo, J., Whitbread, A. M. & Hargreaves, J. N. G. (2010) Incorporating groundnut into the maize-based smallholder farming systems in semi-arid Limpopo province, RSA. Proceedings of the 19th World Congress of Soil Science: Soil solutions for a changing world, Brisbane, Australia, 1-6 August 2010. Symposium 4.2.1 Soil, energy and food security 20–22.
2010
Oliver, Y. M., Robertson, M. J. & Weeks, C. (2010) A new look at an old practice: Benefits from soil water accumulation in long fallows under Mediterranean conditions. Agricultural Water Management 98, 291–300.
2010
Oliver, Y. M., Robertson, M. J. & Wong, M. T. F. (2010) Integrating farmer knowledge, precision agriculture tools, and crop simulation modelling to evaluate management options for poor-performing patches in cropping fields. European Journal of Agronomy 32, 40–50.
2010
Onwonga, R. N., Mbuvi, J. P., Kironchi, G. & Githinji, M. (2010) Modelling the potential impact of climate change on sorghum and cowpea production in semi-arid areas of Kenya using the agricultural production systems simulator (APSIM). Second RUFORUM Biennial Regional Conference on ‘Building capacity for food security in Africa’, Entebbe, Uganda, 20-24 September 2010 47–55.
2010
Park, S. E., Webster, T. J., Horan, H. L., James, A. T. & Thorburn, P. J. (2010) A legume rotation crop lessens the need for nitrogen fertiliser throughout the sugarcane cropping cycle. Field Crops Research 119, 331–341.
2010
Rab, A., Fisher, P., Robinson, N., Kitching, M., Aumann, C., Imhof, M. & Chandra, S. (2010) Plant available water capacity of dryland cropping soils in the south-eastern Australia. Proceedings of the 19th World Congress of Soil Science: Soil solutions for a changing world, Brisbane, Australia, 1-6 August 2010. Symposium 2.1.1 optimizing water use with soil physics 133–136.
2010
Sadras, V. O. & Rodriguez, D. (2010) Modelling the nitrogen-driven trade-off between nitrogen utilisation efficiency and water use efficiency of wheat in eastern Australia. Field Crops Research 118, 297–305.
2010
Schnell, R., Yin, J., Voss, C. & Nicke, E. (2010) ‘Assessment and Optimization of the Aerodynamic and Acoustic Characteristics of a Counter Rotating Open Rotor’.
2010
Smit, M. A. (2010) Characterising the factors that affect germination and emergence in sugarcane. Proceedings of the Annual Congress – South African Sugar Technologists’ Association 230–234.
2010
Song, Y., Birch, C., Qu, S., Doherty, A. & Hanan, J. (2010) Analysis and Modelling of the Effects of Water Stress on Maize Growth and Yield in Dryland Conditions. Plant Production Science 13, 199–208.
2010
Stuermer, A. & Yin, J. (2010) Aerodynamic and Aeroacoustic Analysis of Contra-Rotating Open Rotor Propulsion Systems at Low-Speed Flight Conditions. ‘New Results in Numerical and Experimental Fluid Mechanics Vii’. (Eds A Dillman, G Heller, M Klaas, HP Kreplin, W Nitsche, W Schroder) pp. 481–488
2010
Thorburn, P. J., Biggs, J. S., Collins, K. & Probert, M. E. (2010) Using the APSIM model to estimate nitrous oxide emissions from diverse Australian sugarcane production systems. Agriculture Ecosystems & Environment 136, 343–350.
2010
Vogeler, I., Cichota, R., Snow, V. & Shepherd, M. (2010) Modelling the role of DCD in mitigating nitrogen losses under grazed pastures. Proceedings of the 19th World Congress of Soil Science: Soil solutions for a changing world, Brisbane, Australia, 1-6 August 2010. Symposium 4.1.2 Management and protection of receiving environments 118–121.
2010
Whitbread, A. M., Robertson, M. J., Carberry, P. S. & Dimes, J. P. (2010) How farming systems simulation can aid the development of more sustainable smallholder farming systems in southern Africa. European Journal of Agronomy 32, 51–58.
2010
Yang, Y., Wilson, L. T. & Wang, J. (2010) Development of an automated climatic data scraping, filtering and display system. Computers and Electronics in Agriculture 71, 77–87.
2009
Anwar, M. R., O’Leary, G. J., Rab, M. A., Fisher, P. D. & Armstrong, R. D. (2009) Advances in precision agriculture in south-eastern Australia. V. Effect of seasonal conditions on wheat and barley yield response to applied nitrogen across management zones. Crop & Pasture Science 60, 901–911.
2009
Anwar, M. R., O’Leary, G. J., Rab, M. A., Fisher, P. D. & Armstrong, R. D. (2009) Advances in precision agriculture in south-eastern Australia. V. Effect of seasonal conditions on wheat and barley yield response to applied nitrogen across management zones. Crop & Pasture Science 60, 901–911.
2009
Bassu, S., Asseng, S., Motzo, R. & Giunta, F. (2009) Optimising sowing date of durum wheat in a variable Mediterranean environment. Field Crops Research 111, 109–118.
2009
Bell, L. W., Hargreaves, J. N. G., Lawes, R. A. & Robertson, M. J. (2009) Sacrificial grazing of wheat crops: identifying tactics and opportunities in Western Australia’s grainbelt using simulation approaches. Animal Production Science 49, 797–806.
2009
Bell, L. W., Hargreaves, J. N. G., Lawes, R. A. & Robertson, M. J. (2009) Sacrificial grazing of wheat crops: identifying tactics and opportunities in Western Australia’s grainbelt using simulation approaches. Animal Production Science 49, 797–806.
2009
Carberry, P. S., Hochman, Z., Hunt, J. R., Dalgliesh, N. P., McCown, R. L., Whish, J. P. M., Robertson, M. J., Foale, M. A., Poulton, P. L. & van Rees, H. (2009) Re-inventing model-based decision support with Australian dryland farmers. 3. Relevance of APSIM to commercial crops. Crop & Pasture Science 60, 1044–1056.
2009
Carberry, P. S., Hochman, Z., Hunt, J. R., Dalgliesh, N. P., McCown, R. L., Whish, J. P. M., Robertson, M. J., Foale, M. A., Poulton, P. L. & van Rees, H. (2009) Re-inventing model-based decision support with Australian dryland farmers. 3. Relevance of APSIM to commercial crops. Crop & Pasture Science 60, 1044–1056.
2009
Chenu, K., Chapman, S. C., Tardieu, F., McLean, G., Welcker, C. & Hammer, G. L. (2009) Simulating the Yield Impacts of Organ-Level Quantitative Trait Loci Associated With Drought Response in Maize: A ‘Gene-to-Phenotype’ Modeling Approach. Genetics 183, 1507–1523.
2009
Cichota, R. & Snow, V. O. (2009) Estimating nutrient loss to waterways-an overview of models of relevance to New Zealand pastoral farms. New Zealand Journal of Agricultural Research 52, 239–260.
2009
Dalgliesh, N. P., Foale, M. A. & McCown, R. L. (2009) Re-inventing model-based decision support with Australian dryland farmers. 2. Pragmatic provision of soil information for paddock-specific simulation and farmer decision making. Crop & Pasture Science 60, 1031–1043.
2009
Dalgliesh, N. P., Foale, M. A. & McCown, R. L. (2009) Re-inventing model-based decision support with Australian dryland farmers. 2. Pragmatic provision of soil information for paddock-specific simulation and farmer decision making. Crop & Pasture Science 60, 1031–1043.
2009
Delve, R. J., Probert, M. E., Cobo, J. G., Ricaurte, J., Rivera, M., Barrios, E. & Rao, I. M. (2009) Simulating phosphorus responses in annual crops using APSIM: model evaluation on contrasting soil types. Nutrient Cycling in Agroecosystems 84, 293–306.
2009
Everingham, Y. L., Smyth, C. W. & Inman-Bamber, N. G. (2009) Ensemble data mining approaches to forecast regional sugarcane crop production. Agricultural and Forest Meteorology 149, 689–696.
2009
Florin, M. J., McBratney, A. B. & Whelan, B. M. (2009) Quantification and comparison of wheat yield variation across space and time. European Journal of Agronomy 30, 212–219.
2009
Gaydon, D. S., Buresh, R. J., Probert, M. E. & Meinke, H. (2009) Simulating rice in farming systems – modelling transitions between aerobic and ponded soil environments in APSIM. 18th World Imacs Congress and Modsim09 International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences 519–525.
2009
Hammer, G. L., Van Oosterom, E., McLean, G. & Chapman, S. (2009) Designing the sorghum crop model in APSIM to simulate the physiology and genetics of complex adaptive traits. Comparative Biochemistry and Physiology a-Molecular & Integrative Physiology 153A, S222–S222.
2009
Hochman, Z., Holzworth, D. & Hunt, J. R. (2009) Potential to improve on-farm wheat yield and WUE in Australia. Crop & Pasture Science 60, 708–716.
2009
Hochman, Z., van Rees, H., Carberry, P. S., Hunt, J. R., McCown, R. L., Gartmann, A., Holzworth, D., van Rees, S., Dalgliesh, N. P., Long, W., Peake, A. S., Poulton, P. L. & McClelland, T. (2009) Re-inventing model-based decision support with Australian dryland farmers. 4. Yield Prophet (R) helps farmers monitor and manage crops in a variable climate. Crop & Pasture Science 60, 1057–1070.
2009
Holzworth, D. & Huth, N. (2009) Reflection plus XML Simplifies Development of the APSIM Generic PLANT Model. 18th World Imacs Congress and Modsim09 International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences 887–893.
2009
Huth, N., Henderson, C. & Peake, A. (2009) Development and testing of a horticultural crop model within APSIM. 18th World Imacs Congress and Modsim09 International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences 526–532.
2009
Laing, A., Crimp, S., Brown, P. R., Gaydon, D. & Poulton, P. (2009) Modelling the impacts of and adaptation responses to climate variability and change in Australian cropping systems. 18th World Imacs Congress and Modsim09 International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences 2735–2741.
2009
Lawes, R. A., Oliver, Y. M. & Robertson, M. J. (2009) Integrating the effects of climate and plant available soil water holding capacity on wheat yield. Field Crops Research 113, 297–305.
2009
Lawes, R. A., Oliver, Y. M. & Robertson, M. J. (2009) Integrating the effects of climate and plant available soil water holding capacity on wheat yield. Field Crops Research 113, 297–305.
2009
Lilley, J. M. & Moore, A. D. (2009) Trade-offs between productivity and ground cover in mixed farming systems in the Murrumbidgee catchment of New South Wales. Animal Production Science 49, 837–851.
2009
Ludwig, F., Milroy, S. P. & Asseng, S. (2009) Impacts of recent climate change on wheat production systems in Western Australia. Climatic Change 92, 495–517.
2009
Luo, Q., Bellotti, W., Williams, M. & Wang, E. (2009) Adaptation to climate change of wheat growing in South Australia: Analysis of management and breeding strategies. Agriculture Ecosystems & Environment 129, 261–267.
2009
MacCarthy, D. S., Sommer, R. & Vlek, P. L. G. (2009) Modeling the impacts of contrasting nutrient and residue management practices on grain yield of sorghum (Sorghum bicolor (L.) Moench) in a semi-arid region of Ghana using APSIM. Field Crops Research 113, 105–115.
2009
McCown, R. L., Carberry, P. S., Hochman, Z., Dalgliesh, N. P. & Foale, M. A. (2009) Re-inventing model-based decision support with Australian dryland farmers. 1. Changing intervention concepts during 17 years of action research. Crop & Pasture Science 60, 1017–1030.
2009
McMaster, G. S. & Hargreaves, J. N. G. (2009) CANON in D(esign): Composing scales of plant canopies from phytomers to whole-plants using the composite design pattern. Njas-Wageningen Journal of Life Sciences 57, 39–51.
2009
Moeller, C., Asseng, S., Berger, J. & Milroy, S. P. (2009) Plant available soil water at sowing in Mediterranean environments-Is it a useful criterion to aid nitrogen fertiliser and sowing decisions? Field Crops Research 114, 127–136.
2009
Moore, A. D. (2009) Opportunities and trade-offs in dual-purpose cereals across the southern Australian mixed-farming zone: a modelling study. Animal Production Science 49, 759–768.
2009
Moore, A. D. (2009) Opportunities and trade-offs in dual-purpose cereals across the southern Australian mixed-farming zone: a modelling study. Animal Production Science 49, 759–768.
2009
Ncube, B., Dimes, J. P., van Wijk, M. T., Twomlow, S. J. & Giller, K. E. (2009) Productivity and residual benefits of grain legumes to sorghum under semi-arid conditions in south-western Zimbabwe: Unravelling the effects of water and nitrogen using a simulation model. Field Crops Research 110, 173–184.
2009
Oliver, Y. M., Robertson, M. J., Stone, P. J. & Whitbread, A. (2009) Improving estimates of water-limited yield of wheat by accounting for soil type and within-season rainfall. Crop & Pasture Science 60, 1137–1146.
2009
Oliver, Y. M., Robertson, M. J., Stone, P. J. & Whitbread, A. (2009) Improving estimates of water-limited yield of wheat by accounting for soil type and within-season rainfall. Crop & Pasture Science 60, 1137–1146.
2009
Paydar, Z., Gaydon, D. & Chen, Y. (2009) A methodology for up-scaling irrigation losses. Irrigation Science 27, 347–356.
2009
Renton, M. & Lawes, R. (2009) Land-Use Sequence Optimiser (LUSO): A simulation model for analysing strategic and tactical decisions regarding ‘break crops’ in agricultural rotations. 18th World Imacs Congress and Modsim09 International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences 581–587.
2009
Robertson, M., Bathgate, A., Moore, A., Lawes, R. & Lilley, J. (2009) Seeking simultaneous improvements in farm profit and natural resource indicators: a modelling analysis. Animal Production Science 49, 826–836.
2009
Singh, D. K., Strahan, R., Christodoulou, N. & Cawley, S. (2009) Validating economic and environmental sustainability of a short-term summer forage legume in dryland wheat cropping systems in south-west Queensland. Animal Production Science 49, 816–825.
2009
Singh, D. K., Strahan, R., Christodoulou, N. & Cawley, S. (2009) Validating economic and environmental sustainability of a short-term summer forage legume in dryland wheat cropping systems in south-west Queensland. Animal Production Science 49, 816–825.
2009
Suriyagoda, L. D. B., Ryan, M. H., Real, D., Lambers, H. & Renton, M. (2009) An integrated approach to model the establishment, water use and growth of new perennial pasture species. 18th World Imacs Congress and Modsim09 International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences 602–608.
2009
de Voil, P. G., Rodriguez, D., Power, B. & Rossing, W. a. H. (2009) Simulation of whole farm management decisions. 18th World Imacs Congress and Modsim09 International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences 642–648.
2009
Wang, E., Chen, C. & Yu, Q. (2009) Modeling the response of wheat and maize productivity to climate variability and irrigation in the North China Plain. 18th World Imacs Congress and Modsim09 International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences 2742–2748.
2009
Wang, E., Cresswell, H., Bryan, B., Glover, M. & King, D. (2009) Modelling farming systems performance at catchment and regional scales to support natural resource management. Njas-Wageningen Journal of Life Sciences 57, 101–108.
2009
Wang, E., McIntosh, P., Jiang, Q. & Xu, J. (2009) Quantifying the value of historical climate knowledge and climate forecasts using agricultural systems modelling. Climatic Change 96, 45–61.
2009
Wang, E., Xu, J., Jiang, Q. & Austin, J. (2009) Assessing the spatial impact of climate on wheat productivity and the potential value of climate forecasts at a regional level. Theoretical and Applied Climatology 95, 311–330.
2009
Wang, J., Wang, E. & Liu, D. L. (2009) Modelling the impacts of climate change on wheat yield and field water balance over the Murray-Darling Basin in Australia. 18th World Imacs Congress and Modsim09 International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences 3991–3991.
2009
Wang, J., Wang, E., Luo, Q. & Kirby, M. (2009) Modelling the sensitivity of wheat growth and water balance to climate change in Southeast Australia. Climatic Change 96, 79–96.
2009
Webster, A. J., Thorburn, P. J., Roebeling, P. C., Horan, H. L. & Biggs, J. S. (2009) The expected impact of climate change on nitrogen losses from wet tropical sugarcane production in the Great Barrier Reef region. Marine and Freshwater Research 60, 1159–1164.
2009
Whish, J. P. M., Price, L. & Castor, P. A. (2009) Do spring cover crops rob water and so reduce wheat yields in the northern grain zone of eastern Australia? Crop & Pasture Science 60, 517–525.
2009
Yan, L., ChangYing, X., XiaoGuang, Y., Jing, W., Yuan, L. & Wang, E. (2009) Reduction of yield risk of winter wheat by appropriate irrigation based on APSIM model. Transactions of the Chinese Society of Agricultural Engineering 25, 35–44.
2009
Zingore, S., Gonzalez-Estrada, E., Delve, R. J., Herrero, M., Dimes, J. P. & Giller, K. E. (2009) An integrated evaluation of strategies for enhancing productivity and profitability of resource-constrained smallholder farms in Zimbabwe. Agricultural Systems 101, 57–68.
2008
Anwar, M. R., Rodriguez, D., Liu, D. L., Power, S. & O’Leary, G. J. (2008) Quality and potential utility of ENSO-based forecasts of spring rainfall and wheat yield in south-eastern Australia. Australian Journal of Agricultural Research 59, 112–126.
2008
Asseng, S., Milroy, S. P. & Poole, M. L. (2008) Systems analysis of wheat production on low water-holding soils in a Mediterranean-type environment I. Yield potential and quality. Field Crops Research 105, 97–106.
2008
Bell, L. W., Robertson, M. J., Revell, D. K., Lilley, J. M. & Moore, A. D. (2008) Approaches for assessing some attributes of feed-base systems in mixed farming enterprises. Australian Journal of Experimental Agriculture 48, 789–798.
2008
Biggs, J. S., Thorburn, P. J. & Probert, M. E. (2008) ‘The impact of trash blankets on denitrification.’
2008
Birch, C. J., McLean, G. & Sawers, A. (2008) Analysis of high yielding maize production – a study based on a commercial crop. Australian Journal of Experimental Agriculture 48, 296–303.
2008
Birch, C. J., Stephen, K., McLean, G., Doherty, A., Hammer, G. L. & Robertson, M. J. (2008) Reliability of production of quick to medium maturity maize in areas of variable rainfall in north-east Australia. Australian Journal of Experimental Agriculture 48, 326–334.
2008
Brennan, L. E., Lisson, S. N., Poulton, P. L., Carberry, P. S., Bristow, K. L. & Khan, S. (2008) A farm-scale, bio-economic model for assessing investments in recycled water for irrigation. Australian Journal of Agricultural Research 59, 1035–1048.
2008
Bryant, J. R. & Snow, V. (2008) Modelling pastoral farm agro-ecosystems: a review. New Zealand Journal of Agricultural Research 51, 349–363.
2008
Chauhan, Y. S., Wright, G. C. & Rachaputi, N. C. (2008) Modelling climatic risks of aflatoxin contamination in maize. Australian Journal of Experimental Agriculture 48, 358–366.
2008
Chauhan, Y., Wright, G., Rachaputi, N. & McCosker, K. (2008) Identifying chickpea homoclimes using the APSIM chickpea model. Australian Journal of Agricultural Research 59, 260–269.
2008
Chenu, K., Chapman, S. C., Hammer, G. L., Mclean, G., Salah, H. B. H. & Tardieu, F. (2008) Short-term responses of leaf growth rate to water deficit scale up to whole-plant and crop levels: an integrated modelling approach in maize. Plant Cell and Environment 31, 378–391.
2008
Chen, W., Shen, Y. Y., Robertson, M. J., Probert, M. E. & Bellotti, W. D. (2008) Simulation analysis of lucerne-wheat crop rotation on the Loess Plateau of Northern China. Field Crops Research 108, 179–187.
2008
Chikowo, R., Corbeels, M., Tittonell, P., Vanlauwe, B., Whitbread, A. & Giller, K. E. (2008) Aggregating field-scale knowledge into farm-scale models of African smallholder systems: Summary functions to simulate crop production using APSIM. Agricultural Systems 97, 151–166.
2008
Cox, H., Voil, P. de & Rodriguez, D. (2008) ‘Tools to manage climate risk in cropping (Australia).’
2008
Everingham, Y., Baillie, C., Inman-Bamber, G. & Baillie, J. (2008) Forecasting water allocations for Bundaberg sugarcane farmers. Climate Research 36, 231–239.
2008
Humphreys, L., O’Keeffe, K. & Hutchins, N. (2008) Water to gold – Foreword. Australian Journal of Experimental Agriculture 48, III–iv.
2008
Huth, N. I., Carberry, P. S., Cocks, B., Graham, S., McGinness, H. M. & O’Connell, D. A. (2008) Managing drought risk in eucalypt seedling establishment: An analysis using experiment and model. Forest Ecology and Management 255, 3307–3317.
2008
Kumar, V. R., Kumar, S. R., Raut, M. S., Sreenivas, G. & Reddy, D. R. (2008) Validation of APSIM and CERES-Sorghum model for prediction of rabi sorghum yields in Solapur region of Maharashtra. Journal of Agrometeorology 10, 146–149.
2008
Milroy, S. P., Asseng, S. & Poole, M. L. (2008) Systems analysis of wheat production on low water-holding soils in a Mediterranean-type environment – II. Drainage and nitrate leaching. Field Crops Research 107, 211–220.
2008
Moeller, C., Smith, I., Asseng, S., Ludwig, F. & Telcik, N. (2008) The potential value of seasonal forecasts of rainfall categories – Case studies from the wheatbelt in Western Australia’s Mediterranean region. Agricultural and Forest Meteorology 148, 606–618.
2008
O’Leary, G. J., Joshi, N. L. & van Oosterom, E. J. (2008) A simulation study of the response of plant-type and nitrogen fertilization on the grain yield of pearl millet. Annals of Arid Zone 47, 121–137.
2008
Park, S., Horan, H., Webster, T., Biggs, I., Biggs, J. & Thorburn, P. (2008) ‘Adapting sugarcane nitrogen management practices to take account of legume fallows.’
2008
Park, S., Zhang, H. & Jang, C. (2008) ‘Experimental verification of water ingress in a void by quick diffusion at high reflow temperature’.
2008
Peake, A. S., Robertson, M. J. & Bidstrup, R. J. (2008) Optimising maize plant population and irrigation strategies on the Darling Downs using the APSIM crop simulation model. Australian Journal of Experimental Agriculture 48, 313–325.
2008
Qureshi, M. E., Qureshi, S. E., Bajracharya, K. & Kirby, M. (2008) Integrated biophysical and economic modelling framework to assess impacts of alternative groundwater management options. Water Resources Management 22, 321–341.
2008
Wang, E., Cresswell, H., Yu, Q. & Verburg, K. (2008) Summer forage cropping as an effective way to control deep drainage in south-eastern Australia – A simulation study. Agriculture Ecosystems & Environment 125, 127–136.
2008
Wang, E., Xu, J. H. & Smith, C. J. (2008) Value of historical climate knowledge, SOI-based seasonal climate forecasting and stored soil moisture at sowing in crop nitrogen management in south eastern Australia. Agricultural and Forest Meteorology 148, 1743–1753.
2008
Wong, M. T. F., Asseng, S., Robertson, M. J. & Oliver, Y. (2008) Mapping subsoil acidity and shallow soil across a field with information from yield maps, geophysical sensing and the grower. Precision Agriculture 9, 3–15.
2008
Yu, Q., Wang, E. & Smith, C. J. (2008) A modelling investigation into the economic and environmental values of ‘perfect’ climate forecasts for wheat production under contrasting rainfall conditions. International Journal of Climatology 28, 255–266.
2007
Asseng, S., Dray, A., Perez, P., Su, X. & Mueller, J.-P. (2007) Dynamics of a salinity-prone agricultural catchment driven by markets, farmers’ attitudes and climate change. Modsim 2007: International Congress on Modelling and Simulation: Land, Water and Environmental Management: Integrated Systems for Sustainability 32–38.
2007
Asseng, S., Milroy, S. P. & Poole, M. L. (2007) Systems analysis of wheat production on low water-holding soils in a Mediterranean-type environment. I. Yield potential and quality. Field Crops Research 105, 97–106.
2007
Asseng, S. & Turner, N. C. (2007) ‘Modelling genotype x environment x management interactions to improve yield, water use efficiency and grain protein in wheat’.
2007
Bhatia, V. S., Singh, P., Wani, S. P., Rao, A. V. R. K. & Srinivas, K. (2007) Yield gap analysis of soybean, groundnut, pigeonpea and chickpea in India using simulation modeling. Journal of SAT Agricultural Research 5, 1–160.
2007
Brennan, L. E., Robertson, M. J., Dalgliesh, N. P. & Brown, S. (2007) Pay-offs to zone management in a variable climate: an example of nitrogen fertiliser on wheat. Australian Journal of Agricultural Research 58, 1046–1058.
2007
Brown, P. R., Huth, N. I., Banks, P. B. & Singleton, G. R. (2007) Relationship between abundance of rodents and damage to agricultural crops. Agriculture Ecosystems & Environment 120, 405–415.
2007
Chauhan, Y., Wright, G., Rachaputi, N. R., Krosch, S., Robertson, M., Hargreaves, J. & Broome, A. (2007) Using APSIM-soiltemp to simulate soil temperature in the podding zone of peanut. Australian Journal of Experimental Agriculture 47, 992–999.
2007
Dolling, P. J., Asseng, S., Robertson, M. J. & Ewing, M. A. (2007) Water excess under simulated lucerne-wheat phased systems in Western Australia. Australian Journal of Agricultural Research 58, 826–838.
2007
Eslami, S. V., Gill, G. S., McDonald, G., Bellotti, B. & Whish, J. (2007) ‘Simulation of wheat-wild radish ( Raphanus raphanistrum L.) interference with APSIM.’
2007
Everingham, Y. L., Inman-Bamber, N. G., Thorburn, P. J. & McNeill, T. J. (2007) A Bayesian modelling approach for long lead sugarcane yield forecasts for the Australian sugar industry. Australian Journal of Agricultural Research 58, 87–94.
2007
Farre, I., Robertson, M. & Asseng, S. (2007) Reliability of canola production in different rainfall zones of Western Australia. Australian Journal of Agricultural Research 58, 326–334.
2007
Gijsman, A. J., Thornton, P. K. & Hoogenboom, G. (2007) Using the WISE database to parameterize soil inputs for crop simulation models. Computers and Electronics in Agriculture 56, 85–100.
2007
Heng, L. K., Asseng, S., Mejahed, K. & Rusan, M. (2007) Optimizing wheat productivity in two rain-fed environments of the West Asia-North Africa region using a simulation model. European Journal of Agronomy 26, 121–129.
2007
Holzworth, D., Huth, N. & de Voil, P. (2007) A Framework Independent Component Design: Keeping it Simple. Modsim 2007: International Congress on Modelling and Simulation: Land, Water and Environmental Management: Integrated Systems for Sustainability 1138–1144.
2007
Huth, N. & Possingham, H. P. (2007) Tradeoffs in Dryland Agroforesty: Birds vs Dollars. Modsim 2007: International Congress on Modelling and Simulation: Land, Water and Environmental Management: Integrated Systems for Sustainability 2250–2256.
2007
Inman-Bamber, N. G. (2007) Economic impact of water stress on sugar production in Australia. Sugar Cane International 25, 7–11.
2007
Inman-Bamber, N. G. (2007) ‘Economic impact of water stress on sugar production in Australia.’
2007
Inman-Bamber, N. G., Attard, S. J., Verrall, S. A., Webb, W. A. & Baillie, C. (2007) ‘A web-based system for scheduling irrigation in sugarcane.’
2007
Kahinda, J. M., Rockstrom, J., Taigbenu, A. E. & Dimes, J. (2007) Rainwater harvesting to enhance water productivity of rainfed agriculture in the semi-arid Zimbabwe. Physics and Chemistry of the Earth 32, 1068–1073.
2007
Lilley, J. M. & Kirkegaard, J. A. (2007) Seasonal variation in the value of subsoil water to wheat: simulation studies in southern New South Wales. Australian Journal of Agricultural Research 58, 1115–1128.
2007
Lin, W., You-fei, M., Qiang, Y. & En-li, W. (2007) Applicability of Agricultural Production Systems Simulator (APSIM) in simulating the production and water use of wheat-maize continuous cropping system in North China Plain. Yingyong Shengtai Xuebao 18, 2480–2486.
2007
Lisson, S. N., Kirkegaard, J. A., Robertson, M. J. & Zwart, A. (2007) What is limiting canola yield in southern New South Wales? A diagnosis of causal factors. Australian Journal of Experimental Agriculture 47, 1435–1445.
2007
MacLeod, N. D., McDonald, C. K., Lisson, S. N. & Rahman, R. (2007) Modelling for scenario analysis for improved smallholder farming systems in Indonesia. Modsim 2007: International Congress on Modelling and Simulation: Land, Water and Environmental Management: Integrated Systems for Sustainability 109–114.
2007
Malone, R. W., Huth, N., Carberry, P. S., Ma, L., Kaspar, T. C., Karlen, D. L., Meade, T., Kanwar, R. S. & Heilman, P. (2007) Evaluating and predicting agricultural management effects under tile drainage using modified APSIM. Geoderma 140, 310–322.
2007
Moeller, C., Pala, M., Manschadi, A. M., Meinke, H. & Sauerborn, J. (2007) Assessing the sustainability of wheat-based cropping systems using APSIM: model parameterisation and evaluation. Australian Journal of Agricultural Research 58, 75–86.
2007
Moore, A. D., Holzworth, D. P., Herrmann, N. I., Huth, N. I. & Robertson, M. J. (2007) The Common Modelling Protocol: A hierarchical framework for simulation of agricultural and environmental systems. Agricultural Systems 95, 37–48.
2007
Park, S., Howden, M. & Horan, H. (2007) Evaluating the impact of and capacity for adaptation to climate change on sectors in the sugar industry value chain in Australia. Sugar Cane International 25, 33–34.
2007
Park, S., Howden, M. & Horan, H. (2007) ‘Evaluating the impact of and capacity for adaptation to climate change on sectors in the sugar industry value chain in Australia.’
2007
Rebbeck, M., Lynch, C., Hayman, P. T. & Sadras, V. O. (2007) Delving of sandy surfaced soils reduces frost damage in wheat crops. Australian Journal of Agricultural Research 58, 105–112.
2007
Snow, V. O., Houlbrooke, D. J. & Huth, N. I. (2007) Predicting soil water, tile drainage, and runoff in a mole-tile drained soil. New Zealand Journal of Agricultural Research 50, 13–24.
2007
Verburg, K., Bond, W. J., Brennan, L. E. & Robertson, M. J. (2007) An evaluation of the tactical use of lucerne phase farming to reduce deep drainage. Australian Journal of Agricultural Research 58, 1142–1158.
2007
Verburg, K., Bond, W. J., Hirth, J. R. & Ridley, A. M. (2007) Lucerne in crop rotations on the Riverine Plains. 3*. Model evaluation and simulation analyses. Australian Journal of Agricultural Research 58, 1129–1141.
2007
Wang, E. & Wang, J. (2007) ‘Modelling the performance of different wheat varieties under changed climate-towards better adaptation’.
2007
Wang, L., Zheng, Y., Yu, Q. & Wang, E. (2007) [Applicability of agricultural production systems simulator (APSIM) in simulating the production and water use of wheat-maize continuous cropping system in North China Plain]. Ying yong sheng tai xue bao = The journal of applied ecology / Zhongguo sheng tai xue xue hui, Zhongguo ke xue yuan Shenyang ying yong sheng tai yan jiu suo zhu ban 18, 2480–6.
2007
Whish, J. P. M., Castor, P. & Carberry, P. S. (2007) Managing production constraints to the reliability of chickpea (Cicer arietinum L.) within marginal areas of the northern grains region of Australia. Australian Journal of Agricultural Research 58, 396–405.
2007
Wong, M. T. F. & Asseng, S. (2007) Yield and environmental benefits of ameliorating subsoil constraints under variable rainfall in a Mediterranean environment. Plant and Soil 297, 29–42.
2007
Zhang, X., Lee, J.-H., Abawi, Y., Kim, Y., McClymont, D. & Kim, H.-D. (2007) Testing the simulation capability of APSIM-ORYZA under different levels of nitrogen fertiliser and transplanting time regimes in Korea. Australian Journal of Experimental Agriculture 47, 1446–1454.
2006
Asseng, S. & Milroy, S. P. (2006) Simulation of environmental and genetic effects on grain protein concentration in wheat. European Journal of Agronomy 25, 119–128.
2006
Bhatia, V. S., Singh, P., Wani, S. P., Rao, A. V. R. K. & Srinivas, K. (2006) Yield gap analysis of soybean, groundnut, pigeonpea and chickpea in India using simulation modeling. Global Theme on Agroecosystems Report vi + 149 pp.–vi + 149 pp.
2006
deVoil, P., Rossing, W. a. H. & Hammer, G. L. (2006) Exploring profit – Sustainability trade-offs in cropping systems using evolutionary algorithms. Environmental Modelling & Software 21, 1368–1374.
2006
Dolling, P. J., Fillery, I. R. P., Ward, P. R., Asseng, S. & Robertson, M. J. (2006) Consequences of rainfall during summer-autumn fallow on available soil water and subsequent drainage in annual-based cropping systems. Australian Journal of Agricultural Research 57, 281–296.
2006
Grenz, J. H., Manschadi, A. M., deVoil, P., Meinke, H. & Sauerborn, J. (2006) Simulating crop-parasitic weed interactions using APSIM: Model evaluation and application. European Journal of Agronomy 24, 257–267.
2006
Hill, J. O., Robertson, M. J., Pengelly, B. C., Whitbread, A. M. & Hall, C. A. (2006) Simulation modelling of lablab (Lablab purpureus) pastures in northern Australia. Australian Journal of Agricultural Research 57, 389–401.
2006
Inman-Bamber, N. G., Webb, W. A. & Verrall, S. A. (2006) ‘Participatory irrigation research and scheduling in the Ord: R&D.’
2006
Ludwig, F. & Asseng, S. (2006) Climate change impacts on wheat production in a Mediterranean environment in Western Australia. Agricultural Systems 90, 159–179.
2006
Manschadi, A. M., Christopher, J., deVoil, P. & Hammer, G. L. (2006) The role of root architectural traits in adaptation of wheat to water-limited environments. Functional Plant Biology 33, 823–837.
2006
Meier, E. A., Thorburn, P. J. & Probert, M. E. (2006) Occurrence and simulation of nitrification in two contrasting sugarcane soils from the Australian wet tropics. Australian Journal of Soil Research 44, 1–9.
2006
Panchard, J., Rao, S., Prabhakar, T. V., Jamadagni, H. S. & Hubaux, J.-P. (2006) ‘COMMON-Sense net: Improved water management for resource-poor farmers via sensor networks’.
2006
Rodriguez, D., Nuttall, J., Sadras, V. O., van Rees, H. & Armstrong, R. (2006) Impact of subsoil constraints on wheat yield and gross margin on fine-textured soils of the southern Victorian Mallee. Australian Journal of Agricultural Research 57, 355–365.
2006
Sadras, V. O. & Monzon, J. P. (2006) Modelled wheat phenology captures rising temperature trends: Shortened time to flowering and maturity in Australia and Argentina. Field Crops Research 99, 136–146.
2006
Speelman, E. N., Astier, M., Lopez-Ridaura, S., Leffelaar, P. A. & van Ittersum, M. K. (2006) Trade-off analysis for sustainability evaluation: a case study of the Purhepecha region, Mexico. Outlook on Agriculture 35, 57–64.
2006
Stewart, L. K., Charlesworth, P. B., Bristow, K. L. & Thorburn, P. J. (2006) Estimating deep drainage and nitrate leaching from the root zone under sugarcane using APSIM-SWIM. Agricultural Water Management 81, 315–334.
2006
Thornby, D., Walker, S. R. & Whish, J. P. M. (2006) ‘Simulating weed persistence and herbicide resistance in the northern grain region using a validated crop growth model with extensions for seedbank dynamics and mating.’
2006
Wessolek, G. & Asseng, S. (2006) Trade-off between wheat yield and drainage under current and climate change conditions in northeast Germany. European Journal of Agronomy 24, 333–342.
2006
Whitbread, A. M. & Clem, R. L. (2006) Graze to grain – measuring and modelling the effects of grazed pasture leys on soil nitrogen and sorghum yield on a Vertosol soil in the Australian subtropics. Australian Journal of Agricultural Research 57, 489–500.
2006
Wong, M. T. F. & Asseng, S. (2006) Determining the causes of spatial and temporal variability of wheat yields at sub-field scale using a new method of upscaling a crop model. Plant and Soil 283, 203–215.
2006
Wong, M. T. F., Asseng, S. & Zhang, H. (2006) A flexible approach to managing variability in grain yield and nitrate leaching at within-field to farm scales. Precision Agriculture 7, 405–417.
2005
Ascough, I. I. J. C., Green, T. R., Ma, L. & Ahjua, L. R. (2005) Key Criteria and Selection of Sensitivity Analysis Methods Applied to Natural Resource Models. Modsim 2005: International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making: Advances and Applications for Management and Decision Making 2463–2469.
2005
Brown, H. E., Moot, D. J. & McKenzie, B. A. (2005) Temperature responses of lucerne radiation and water use efficiency. ‘Agronomy New Zealand, Proceedings’. pp. 23–32
2005
Dolling, P. J., Robertson, M. J., Asseng, S., Ward, P. R. & Latta, R. A. (2005) Simulating lucerne growth and water use on diverse soil types in a Mediterranean-type environment. Australian Journal of Agricultural Research 56, 503–515.
2005
Grenz, J. (2005) ‘Developing a tool for evaluating management strategies against parasitic weeds’.
2005
Grenz, J. H., Manschadi, A. M., De Voil, P., Meinke, H. & Sauerborn, J. (2005) Assessing strategies for Orobanche sp control using a combined seedbank and competition model. Agronomy Journal 97, 1551–1559.
2005
Huth, N. & Holzworth, D. (2005) Common Sense In Model Testing. Modsim 2005: International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making: Advances and Applications for Management and Decision Making 2804–2809.
2005
Inman-Bamber, N. G., Attard, S. A., Baillie, C., Lawson, D. & Simpson, L. (2005) ‘A web-based system for planning use of limited irrigation water in sugarcane.’
2005
Lawrence, J. (2005) Production, new skills and a sustainable hope in Gansu. Partners in Research for Development 6–7.
2005
Ludwig, F. & Asseng, S. (2005) Impacts and Adaptation to Climate Change in Western Australian Wheat Cropping Systems. Modsim 2005: International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making: Advances and Applications for Management and Decision Making 512–517.
2005
Luo, Q. Y., Bellotti, W., Williams, M. & Bryan, B. (2005) Potential impact of climate change on wheat yield in South Australia. Agricultural and Forest Meteorology 132, 273–285.
2005
Luo, Q. Y., Bryan, B., Bellotti, W. & Williams, M. (2005) Spatial analysis of environmental change impacts on wheat production in Mid-Lower North, South Australia. Climatic Change 72, 213–228.
2005
Luo, Q. Y., Jones, R. N., Williams, M., Bryan, B. & Bellotti, W. (2005) Probabilistic distributions of regional climate change and their application in risk analysis of wheat production. Climate Research 29, 41–52.
2005
Murray-Prior, R. B., Whish, J., Carberry, P. & Dalgleish, N. (2005) Lucerne improves some sustainability indicators but may decrease profitability of cropping rotations on the Jimbour Plain. Australian Journal of Experimental Agriculture 45, 651–663.
2005
Paydar, Z., Huth, N., Ringrose-Voase, A., Young, R., Bernardi, T., Keating, B. & Cresswell, H. (2005) Deep drainage and land use systems. Model verification and systems comparison. Australian Journal of Agricultural Research 56, 995–1007.
2005
Paydar, Z., Huth, N. & Snow, V. (2005) Modelling irrigated Eucalyptus for salinity control on shallow watertables. Australian Journal of Soil Research 43, 587–597.
2005
Paydar, Z., Khan, S. & Rana, T. (2005) ‘Application Of 1-D And 3-D Models In A Regional Context’.
2005
Probert, M. E., Delve, R. J., Kimani, S. K. & Dimes, J. P. (2005) Modelling nitrogen mineralization from manures: representing quality aspects by varying C : N ratio of sub-pools. Soil Biology & Biochemistry 37, 279–287.
2005
Renouf, M. A., Antony, G. & Wegener, M. (2005) ‘Comparative environmental life cycle assessment (LCA) of organic and conventional sugarcane growing in Queensland.’
2005
Robertson, M. J., Gaydon, D., Hall, D. J. M., Hills, A. & Penny, S. (2005) Production risks and water use benefits of summer crop production on the south coast of Western Australia. Australian Journal of Agricultural Research 56, 597–612.
2005
Robertson, M. J. & Kirkegaard, J. A. (2005) Water-use efficiency of dryland canola in an equi-seasonal rainfall environment. Australian Journal of Agricultural Research 56, 1373–1386.
2005
Robertson, M. J., Sakala, W., Benson, T. & Shamudzarira, Z. (2005) Simulating response of maize to previous velvet bean (Mucuna pruriens) crop and nitrogen fertiliser in Malawi. Field Crops Research 91, 91–105.
2005
Smith, F. P., Holzworth, D. P. & Robertson, M. J. (2005) Linking icon-based models to code-based models: a case study with the agricultural production systems simulator. Agricultural Systems 83, 135–151.
2005
Teixeira, A. S. & Coelho, S. L. (2005) Development and calibration of an electronic tensiometer for automatic reading. Engenharia Agricola 25, 367–376.
2005
Thorburn, P. J., Meier, E. A. & Probert, M. E. (2005) Modelling, nitrogen dynamics in sugarcane systems: Recent advances and applications. Field Crops Research 92, 337–351.
2005
Tsubo, M., Walker, S. & Ogindo, H. O. (2005) A simulation model of cereal-legume intercropping systems for semi-arid regions I. Model development. Field Crops Research 93, 10–22.
2005
Verburg, K., Bond, W. J., Srikanthan, R. & Frost, A. J. (2005) Predicting the impact of climatic variability on deep drainage under dryland agriculture. Modsim 2005: International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making: Advances and Applications for Management and Decision Making 1716–1722.
2005
Whish, J., Butler, G., Castor, M., Cawthray, S., Broad, I., Carberry, P., Hammer, G., McLean, G., Routley, R. & Yeates, S. (2005) Modelling the effects of row configuration on sorghum yield reliability in north-eastern Australia. Australian Journal of Agricultural Research 56, 11–23.
2005
Wong, M. T. F., Asseng, S. & Zhang, H. (2005) ‘Precision agriculture improves efficiency of nitrogen use and minimises its leaching at within-field to farm scales’.
2004
Asseng, S., Jamieson, P. D., Kimball, B., Pinter, P., Sayre, K., Bowden, J. W. & Howden, S. M. (2004) Simulated wheat growth affected by rising temperature, increased water deficit and elevated atmospheric CO2. Field Crops Research 85, 85–102.
2004
Asseng, S. & Turner, N. C. (2004) ‘Evaluating water-use efficiency of rainfed wheat using a simulation model’.
2004
Dalal, R. C., Weston, E. J., Strong, W. M., Probert, M. E., Lehane, K. J., Cooper, J. E., King, A. J. & Holmes, C. J. (2004) Sustaining productivity of a Vertosol at Warra, Queensland, with fertilisers, no-tillage or legumes. 8. Effect of duration of lucerne ley on soil nitrogen and water, wheat yield and protein. Australian Journal of Experimental Agriculture 44, 1013–1024.
2004
Farre, I., Robertson, M. J., Asseng, S., French, R. J. & Dracup, M. (2004) Simulating lupin development, growth, and yield in a Mediterranean environment. Australian Journal of Agricultural Research 55, 863–877.
2004
Foale, M. A., Probert, M. E., Carberry, P. S., Lack, D., Yeates, S., Brimblecombe, D., Shaw, R. & Crocker, M. (2004) Participatory research in dryland cropping systems – monitoring and simulation of soil water and nitrogen in farmers’ paddocks in Central Queensland. Australian Journal of Experimental Agriculture 44, 321–331.
2004
Inman-Bamber, N. G., Attard, S. J. & Spillman, M. F. (2004) ‘Can lodging be controlled through irrigation?’
2004
Matthews, R., van Noordwijk, M., Gijsman, A. J. & Cadisch, G. (2004) ‘Models of below-ground interactions: their validity, applicability and beneficiaries.’
2004
Milroy, S. P., Bange, M. P. & Hearn, A. B. (2004) Row configuration in rainfed cotton systems: modification of the OZCOT simulation model. Agricultural Systems 82, 1–16.
2004
Robertson, M. J. & Holland, J. F. (2004) Production risk of canola in the semi-arid subtropics of Australia. Australian Journal of Agricultural Research 55, 525–538.
2004
Thorburn, P. J., Horan, H. L. & Biggs, J. S. (2004) ‘The impact of trash management on sugarcane production and nitrogen management: a simulation study.’
2004
Turner, N. C. (2004) Agronomic options for improving rainfall-use efficiency of crops in dryland farming systems. Journal of Experimental Botany 55, 2413–2425.
2004
Wang, E. L., Smith, C. J., Bond, W. J. & Verburg, K. (2004) Estimations of vapour pressure deficit and crop water demand in APSIM and their implications for prediction of crop yield, water use, and deep drainage. Australian Journal of Agricultural Research 55, 1227–1240.
2004
Wong, M. T. F., Asseng, S., Wittwer, K. & Lyle, G. (2004) ‘Principal landscape determinants of spatially variable crop yield in Western Australia.’
2004
Yunusa, I. a. M., Bellotti, W. D., Moore, A. D., Probert, M. E., Baldock, J. A. & Miyan, S. M. (2004) An exploratory evaluation of APSIM to simulate growth and yield processes for winter cereals in rotation systems in South Australia. Australian Journal of Experimental Agriculture 44, 787–800.
2003
Asseng, S. & van Herwaarden, A. F. (2003) Analysis of the benefits to wheat yield from assimilates stored prior to grain filling in a range of environments. Plant and Soil 256, 217–229.
2003
Asseng, S., Turner, N. C., Botwright, T. & Condon, A. G. (2003) Evaluating the impact of a trait for increased specific leaf area on wheat yields using a crop simulation model. Agronomy Journal 95, 10–19.
2003
Brennan, L. E., Lisson, S. N., Poulton, P. L., Carberry, P. S., Bristow, K. L. & Khan, S. (2003) ‘Assessing the economic and environmental benefits and risks of investing in recycled water for irrigation on the Darling Downs, Australia’.
2003
Chapman, S., Cooper, M., Podlich, D. & Hammer, G. (2003) Evaluating plant breeding strategies by simulating gene action and dryland environment effects. Agronomy Journal 95, 99–113.
2003
Chen, W., Bellotti, B., Robertson, M., ZhiBiao, N. & Yuying, S. (2003) ‘Performance of APSIM-Lucerne in Gansu, north-west China.’
2003
Deen, W., Cousens, R., Warringa, J., Bastiaans, L., Carberry, P., Rebel, K., Riha, S., Murphy, C., Benjamin, L. R., Cloughley, C., Cussans, J., Forcella, F., Hunt, T., Jamieson, P., Lindquist, J. & Wang, E. (2003) An evaluation of four crop: weed competition models using a common data set. Weed Research 43, 116–129.
2003
deVoil, P., Rossing, W. a. H. & Hammer, G. L. (2003) ‘Exploring profit – Sustainability trade-offs in cropping systems using evolutionary algorithms’.
2003
Dimes, J., Twomlow, S. & Carberry, P. (2003) ‘Application of APSIM in smallholder farming systems in the semi-arid tropics.’
2003
Farquharson, R. J., Schwenke, G. D. & Mullen, J. D. (2003) Should we manage soil organic carbon in Vertosols in the northern grains region of Australia? Australian Journal of Experimental Agriculture 43, 261–270.
2003
Farre, I., Robertson, M. J., Asseng, S., French, R. J. & Dracup, M. (2003) ‘Variability in lupin yield due to climate in Western Australia.’
2003
Hayman, P. & Gordon, J. (2003) ‘Beyond a 3 month outlook – using ENSO for 18 month cropping plans in Northern NSW.’
2003
Hills, A., Robertson, M., Gaydon, D., Hall, D., Lacey, R. & Ryder, A. (2003) ‘Evaluation of sorghum in Western Australia.’
2003
Huth, N. I., Carberry, P. S., Poulton, P. L., Brennan, L. E. & Keating, B. A. (2003) A framework for simulating agroforestry options for the low rainfall areas of Australia using APSIM. European Journal of Agronomy 18, 171–185.
2003
Inman-Bamber, N. G. & McGlinchey, M. G. (2003) Crop coefficients and water-use estimates for sugarcane based on long-term Bowen ratio energy balance measurements. Field Crops Research 83, 125–138.
2003
van Ittersum, M. K., Howden, S. M. & Asseng, S. (2003) Sensitivity of productivity and deep drainage of wheat cropping systems in a Mediterranean environment to changes in CO2, temperature and precipitation. Agriculture Ecosystems & Environment 97, 255–273.
2003
Keating, B. A., Carberry, P. S., Hammer, G. L., Probert, M. E., Robertson, M. J., Holzworth, D., Huth, N. I., Hargreaves, J. N. G., Meinke, H., Hochman, Z., McLean, G., Verburg, K., Snow, V., Dimes, J. P., Silburn, M., Wang, E., Brown, S., Bristow, K. L., Asseng, S., Chapman, S., McCown, R. L., Freebairn, D. M. & Smith, C. J. (2003) An overview of APSIM, a model designed for farming systems simulation. European Journal of Agronomy 18, 267–288.
2003
Keating, B. A., Gaydon, D., Huth, N. I., Probert, M. E., Verburg, K., Smith, C. J. & Bond, W. (2003) Use of modelling to explore the water balance of dryland farming systems in the Murray-Darling Basin, Australia. European Journal of Agronomy 18, 159–169.
2003
Lilley, J., Kirkegaard, J., Robertson, M., Probert, M., Angus, J. & Howe, G. (2003) ‘Simulating crop and soil processes in crop sequences in southern NSW.’
2003
Luo, Q., Bellotti, B., Bryan, B. & Williams, M. (2003) ‘Risk analysis of possible environmental change and future crop production in South Australia.’
2003
Lyon, D. J., Hammer, G. L., McLean, G. B. & Blumenthal, J. M. (2003) Simulation supplements field studies to determine no-till dryland corn population recommendations for semiarid western Nebraska. Agronomy Journal 95, 884–891.
2003
Manschadi, A. M., Wang, E., Robertson, M. J., Meinke, H. & Sauerborn, J. (2003) ‘Development of a parasite module in APSIM – case study: the parasitic weed Orobanche crenata infesting faba bean.’
2003
Park, S. E., Antony, G., Lisson, S. N. & Thorburn, P. J. (2003) ‘A method for exploring the potential of agronomic practices to manage the greenhouse gas balance in sugarcane primary production.’
2003
Paydar, Z. & Gallant, J. C. (2003) ‘Applying a spatial modelling framework to assess land use effects on catchment hydrology’.
2003
Pracilio, G., Asseng, S., Cook, S. E., Hodgson, G., Wong, M. T. F., Adams, M. L. & Hatton, T. J. (2003) Estimating spatially variable deep drainage across a central-eastern wheatbelt catchment, Western Australia. Australian Journal of Agricultural Research 54, 789–802.
2003
Rachaputi, N. C. (2003) ‘Environmental characterisation of experimental sites in India and Australia.’
2003
Ringrose-Voase, A. J., Young, R. R., Paydar, Z., Huth, N. I., Bernardi, A. L., Cresswell, H. P., Keating, B. A., Scott, J. F., Stauffacher, M., Banks, R. G., Holland, J. F., Johnston, R. M., Green, T. W., Gregory, L. J., Daniells, I., Farquharson, R., Drinkwater, R. J., Heidenreich, S. & Donaldson, S. G. (2003) ‘Deep drainage under different land uses in the Liverpool Plains Catchment.’
2003
Robertson, M. J. & Kirkegaard, J. A. (2003) ‘Crop modelling for the Australian canola industry: a review.’
2003
Rodriguez, D. & Nuttall, J. (2003) ‘Adaptation of the APSIM-Wheat module to simulate the growth and production of wheat on hostile soils.’
2003
Routley, R., Broad, I., McLean, G., Whish, J. & Hammer, G. (2003) ‘The effect of row configuration on yield reliability in grain sorghum: I. Yield, water use efficiency and soil water extraction.’
2003
Sadras, V., Baldock, J., Roget, D. & Rodriguez, D. (2003) Measuring and modelling yield and water budget components of wheat crops in coarse-textured soils with chemical constraints. Field Crops Research 84, 241–260.
2003
Stewart, L. K., Charlesworth, P. B. & Bristow, K. L. (2003) ‘Estimating nitrate leaching under a sugarcane crop using APSIM-SWIM.’
2003
Tang, C., Asseng, S., Diatloff, E. & Rengel, Z. (2003) Modelling yield losses of aluminium-resistant and aluminium-sensitive wheat due to subsurface soil acidity: effects of rainfall, liming and nitrogen application. Plant and Soil 254, 349–360.
2003
Thorburn, P., Biggs, J., Bristow, K., Horan, H. & Huth, N. (2003) How should nitrogen be managed in fertigated sugarcane? Sugar Cane International 11–13.
2003
Thorburn, P., Biggs, J., Bristow, K., Horan, H. & Huth, N. (2003) ‘Benefits of sub-surface application of nitrogen and water to trickle irrigated sugarcane.’
2003
Turpin, J. E., Robertson, M. J., Haire, C., Bellotti, W. D., Moore, A. D. & Rose, I. (2003) Simulating fababean development, growth, and yield in Australia. Australian Journal of Agricultural Research 54, 39–52.
2003
Verburg, K., Braschkat, J., Hochman, Z., Moore, A. D., Helyar, K. R., Probert, M. E., Hargreaves, J. N. G. & Simpson, R. J. (2003) ‘Modeling acidification processes in agricultural systems.’
2003
Wang, E., Robertson, M. J., Hammer, G. L., Carberry, P. S., Holzworth, D., Meinke, H., Chapman, S. C., Hargreaves, J. N. G., Huth, N. I. & McLean, G. (2003) Development of a generic crop model template in the cropping system model APSIM. European Journal of Agronomy 18, 121–140.
2003
Zahid, M. S., Bellotti, W., McNeill, A. & Robertson, M. (2003) ‘Performance of APSIM-Lucerne in South Australia.’
2002
Asseng, S., Bar-Tal, A., Bowden, J. W., Keating, B. A., Van Herwaarden, A., Palta, J. A., Huth, N. I. & Probert, M. E. (2002) Simulation of grain protein content with APSIM-Nwheat. European Journal of Agronomy 16, 25–42.
2002
Asseng, S., Turner, N. C., Ray, J. D. & Keating, B. A. (2002) A simulation analysis that predicts the influence of physiological traits on the potential yield of wheat. European Journal of Agronomy 17, 123–141.
2002
Carberry, P. S., Hochman, Z., McCown, R. L., Dalgliesh, N. P., Foale, M. A., Poulton, P. L., Hargreaves, J. N. G., Hargreaves, D. M. G., Cawthray, S., Hillcoat, N. & Robertson, M. J. (2002) The FARMSCAPE approach to decision support: farmers’, advisers’, researchers’ monitoring, simulation, communication and performance evaluation. Agricultural Systems 74, 141–177.
2002
Carberry, P. S., Meinke, H., Poulton, P. L., Hargreaves, J. N. G., Snell, A. J. & Sudmeyer, R. A. (2002) Modelling crop growth and yield under the environmental changes induced by windbreaks. 2. Simulation of potential benefits at selected sites in Australia. Australian Journal of Experimental Agriculture 42, 887–900.
2002
Carberry, P. S., Probert, M. E., Dimes, J. P., Keating, B. A. & McCown, R. L. (2002) Role of modelling in improving nutrient efficiency in cropping systems. Plant and Soil 245, 193–203.
2002
Cleugh, H. A. (2002) Parameterising the impact of shelter on crop microclimates and evaporation fluxes. Australian Journal of Experimental Agriculture 42, 859–874.
2002
Cleugh, H., Prinsley, R., Bird, R. P., Brooks, S. J., Carberry, P. S., Crawford, M. C., Jackson, T. T., Meinke, H., Mylius, S. J., Nuberg, I. K., Sudmeyer, R. A. & Wright, A. J. (2002) The Australian National Windbreaks Program: overview and summary of results. Australian Journal of Experimental Agriculture 42, 649–664.
2002
Connolly, R. D., Bell, M., Huth, N., Freebairn, D. M. & Thomas, G. (2002) Simulating infiltration and the water balance in cropping systems with APSIM-SWIM. Australian Journal of Soil Research 40, 221–242.
2002
Cooper, M., Chapman, S. C., Podlich, D. W. & Hammer, G. L. (2002) The GP problem: Quantifying gene-to-phenotype relationships. In Silico Biology 2, 151–164.
2002
Farre, I., Robertson, M. J., Walton, G. H. & Asseng, S. (2002) Simulating phenology and yield response of canola to sowing date in Western Australia using the APSIM model. Australian Journal of Agricultural Research 53, 1155–1164.
2002
Huth, N. I., Carberry, P. S., Poulton, P. L., Brennan, L. E. & Keating, B. A. (2002) A framework for simulating agroforestry options for the low rainfall areas of Australia using APSIM. European Journal of Agronomy 18, 171–185.
2002
Inman-Bamber, N. G., Muchow, R. C. & Robertson, M. J. (2002) Dry matter partitioning of sugarcane in Australia and South Africa. Field Crops Research 76, 71–84.
2002
Keating, B. A., Gaydon, D., Huth, N. I., Probert, M. E., Verburg, K., Smith, C. J. & Bond, W. (2002) Use of modelling to explore the water balance of dryland farming systems in the Murray-Darling Basin, Australia. European Journal of Agronomy 18, 159–169.
2002
McCown, R. L., Keating, B. A., Carberry, P. S., Hochman, Z. & Hargreaves, D. (2002) The co-evolution of the agricultural production systems simulator (APSIM) and its use in Australian dryland cropping research and farm management intervention. Agricultural System Models in Field Research and Technology Transfer 149–175.
2002
McGlinchey, M. G. & Inman-Bamber, N. G. (2002) Robust estimates of evapotranspiration for sugarcane. Proceedings of the Annual Congress – South African Sugar Technologists’ Association 245–249.
2002
Meinke, H., Carberry, P. S., Cleugh, H. A., Poulton, P. L. & Hargreaves, J. N. G. (2002) Modelling crop growth and yield under the environmental changes induced by windbreaks. 1. Model development and validation. Australian Journal of Experimental Agriculture 42, 875–885.
2002
Robertson, M. J., Carberry, P. S., Huth, N. I., Turpin, J. E., Probert, M. E., Poulton, P. L., Bell, M., Wright, G. C., Yeates, S. J. & Brinsmead, R. B. (2002) Simulation of growth and development of diverse legume species in APSIM. Australian Journal of Agricultural Research 53, 429–446.
2002
Shamudzarira, Z. & Robertson, M. J. (2002) Simulating response of maize to nitrogen fertilizer in semi-arid Zimbabwe. Experimental Agriculture 38, 79–96.
2002
Smith, C. J., Bond, W. J., Verburg, K. & Dunin, F. X. (2002) ‘Water use of cereal-canola-lucerne rotations in Southeastern Australia.’
2002
Thorburn, P. J., van Antwerpen, R., Meyer, J. H. & Bezuidenhout, C. N. (2002) The impact of trash management on soil carbon and nitrogen: I. Modelling long-term experimental results in the South African sugar industry. Proceedings of the Annual Congress – South African Sugar Technologists’ Association 260–268.
2002
Wang, E., Robertson, M. J., Hammer, G. L., Carberry, P. S., Holzworth, D., Meinke, H., Chapman, S. C., Hargreaves, J. N. G., Huth, N. I. & McLean, G. (2002) Development of a generic crop model template in the cropping system model APSIM. European Journal of Agronomy 18, 121–140.
2002
Whish, J. P. M., Carberry, P. S., Robertson, M. J. & Smith, P. (2002) ‘The development of a wild oat simulation model for APSIM.’
2002
Yuying, S., Zhibiao, N., Bellotti, B., Robertson, M., Wen, C. & Xinqing, S. (2002) Development of APSIM (Agricultural Production Systems Simulator) and its application. Yingyong Shengtai Xuebao 13, 1027–1032.
2001
Asseng, S., Dunin, F. X., Fillery, I. R. P., Tennant, D. & Keating, B. A. (2001) Potential deep drainage under wheat crops in a Mediterranean climate. II. Management opportunities to control drainage. Australian Journal of Agricultural Research 52, 57–66.
2001
Asseng, S., Fillery, I. R. P., Dunin, F. X., Keating, B. A. & Meinke, H. (2001) Potential deep drainage under wheat crops in a Mediterranean climate. I. Temporal and spatial variability. Australian Journal of Agricultural Research 52, 45–56.
2001
Asseng, S., Turner, N. C. & Keating, B. A. (2001) Analysis of water- and nitrogen-use efficiency of wheat in a Mediterranean climate. Plant and Soil 233, 127–143.
2001
Bellotti, W. D. (2001) ‘The role of forages in sustainable cropping systems of Southern Australia’.
2001
Brennan, L., Keating, B., Hochman, Z. & McCown, B. (2001) Assessing tradeoffs between profitability and leakiness of alternative farming systems. Salinity economics – a national workshop, NSW Agriculture, Orange, NSW, Australia, 22-23 August 2001 61–69.
2001
Cheeroo-Nayamuth, F. B. & Nayamuth, R. a. H. (2001) ‘Climate change and sucrose production in Mauritius’.
2001
Connolly, R. D., Freebairn, D. M., Bell, M. J. & Thomas, G. (2001) Effects of rundown in soil hydraulic condition on crop productivity in south-eastern Queensland – a simulation study. Australian Journal of Soil Research 39, 1111–1129.
2001
Herridge, D. F., Turpin, J. E. & Robertson, M. J. (2001) Improving nitrogen fixation of crop legumes through breeding and agronomic management: analysis with simulation modelling. Australian Journal of Experimental Agriculture 41, 391–401.
2001
Hochman, Z., Carberry, P. S., McCown, R. L., Dalgliesh, N. P., Foale, M. A. & Brennan, L. E. (2001) APSIM in the marketplace: a tale of kitchen tables, boardrooms and courtrooms. ‘International Symposium on Applications of Modelling as an Innovative Technology in the Agri-Food-Chain – Model-It’. (Eds MLA Hertog, BR MacKay) pp. 21–33
2001
Inman-Bamber, N. G., Lisson, S. N., McGlinchey, M., Singels, A. & Bristow, K. L. (2001) ‘Sugarcane simulation: State of the art, applications and implications’.
2001
Jones, J. W., Keating, B. A. & Porter, C. H. (2001) Approaches to modular model development. Agricultural Systems 70, 421–443.
2001
Keating, B. A. & McCown, R. L. (2001) Advances in farming systems analysis and intervention. Agricultural Systems 70, 555–579.
2001
Keating, B. A., Meinke, H., Probert, M. E., Huth, N. I. & Hills, I. G. (2001) NWheat: documentation and performance of a wheat module for APSIM. ‘Tropical Agriculture Technical Memorandum’. p. 66 pp.–66 pp.
2001
Keating, B. A., Meinke, H., Probert, M. E., Huth, N. I. & Hills, I. G. (2001) NWheat: Documentation and performance of a wheat module for APSIM. Tropical Agriculture Technical Memorandum 1–66.
2001
Reyenga, P. J., Howden, S. M., Meinke, H. & Hall, W. B. (2001) Global change impacts on wheat production along an environmental gradient in south Australia. Environment International 27, 195–200.
2001
Thorburn, P. J., Van Antwerpen, R., Meyer, J. H., Keating, B. A. & Robertson, F. A. (2001) ‘Impact of trash blanketing on soil nitrogen fertility: Australian and South African experience’.
2001
Thorburn, P. J., Biggs, J. S., Keating, B. A., Weier, K. L. & Robertson, F. A. (2001) ‘Nitrate in groundwaters in the Australian sugar industry’.
2001
Thorburn, P. J., Probert, M. E. & Robertson, F. A. (2001) Modelling decomposition of sugar cane surface residues with APSIM-Residue. Field Crops Research 70, 223–232.
2001
Willigen, P. de (2001) The use of modelling to improve the effectiveness of fertilizer recommendations. ‘Proceedings – International Fertiliser Society’. pp. 2–19
2000
Asseng, S., van Keulen, H. & Stol, W. (2000) Performance and application of the APSIM Nwheat model in the Netherlands. European Journal of Agronomy 12, 37–54.
2000
Carberry, P., Hammer, G., Meinke, H. & Bange, M. (2000) The potential value of seasonal climate forecasting in managing cropping systems. ‘Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems: The Australian Experience’. (Eds GL Hammer, N Nicholls, C Mitchell) pp. 167–181
2000
Cheeroo-Nayamuth, F. C., Robertson, M. J., Wegener, M. K. & Nayamuth, A. R. H. (2000) Using a simulation model to assess potential and attainable sugar cane yield in Mauritius. Field Crops Research 66, 225–243.
2000
Hardie, M., Lisson, S. N. & Inman-Bamber, N. G. (2000) Can APSIM be used by advisory staff at a local level? A case study of irrigation in the Proserpine area. Proceedings of the 2000 Conference of the Australian Society of Sugar Cane Technologists held at Bundaberg, Queensland, Australia, 2-5 May 2000. 270–276.
2000
Inman-Bamber, N. G., Zund, P. R. & Muchow, R. C. (2000) Water use efficiency and soil water availability for sugarcane. Proceedings of the 2000 Conference of the Australian Society of Sugar Cane Technologists held at Bundaberg, Queensland, Australia, 2 May to 5 May 2000. 264–269.
2000
Lisson, S. N., Mendham, N. J. & Carberry, P. S. (2000) Development of a hemp (Cannabis sativa L.) simulation model 4. Model description and validation. Australian Journal of Experimental Agriculture 40, 425–432.
2000
Lisson, S. N., Mendham, N. J. & Carberry, P. S. (2000) Development of a hemp (Cannabis sativa L.) simulation model 1. General introduction and the effect of temperature on the pre-emergent development of hemp. Australian Journal of Experimental Agriculture 40, 405–411.
2000
Lisson, S. N., Robertson, M. J., Keating, B. A. & Muchow, R. C. (2000) Modelling sugarcane production systems – II: Analysis of system performance and methodology issues. Field Crops Research 68, 31–48.
2000
O’Leary, G. J. (2000) A review of three sugarcane simulation models with respect to their prediction of sucrose yield. Field Crops Research 68, 97–111.
2000
O’Leary, G. J. (2000) A review of three sugarcane simulation models with respect to their prediction of sucrose yield. Field Crops Research 68, 97–111.
2000
Probert, M. E. & Keating, B. A. (2000) What soil constraints should be included in crop and forest models? Agriculture Ecosystems & Environment 82, 273–281.
2000
Robertson, M. J., Carberry, P. S. & Lucy, M. (2000) Evaluation of a new cropping option using a participatory approach with on-farm monitoring and simulation: a case study of spring-sown mungbeans. Australian Journal of Agricultural Research 51, 1–12.
1999
Dunin, F. X., Williams, J., Verburg, K. & Keating, B. A. (1999) Can agricultural management emulate natural ecosystems in recharge control in south eastern Australia? Agroforestry Systems 45, 343–364.
1999
Inman-Bamber, N. G., Robertson, M. J., Muchow, R. C., Wood, A. W., Pace, R. & Spillman, A. M. F. (1999) Boosting yields with limited irrigation water. Proceedings of the 1999 Conference of the Australian Society of Sugar Cane Technologists, Townsville, Queensland, Australia, 27-30 April 1999. 203–211.
1999
Inman-Bamber, N. G., Schuurs, M. & Muchow, R. C. (1999) Advances in the science and economics of supplementary irrigation of sugarcane. Proceedings of the Annual Congress – South African Sugar Technologists’ Association 9–15.
1999
Keating, B. A., Robertson, M. J., Muchow, R. C. & Huth, N. I. (1999) Modelling sugarcane production systems I. Development and performance of the sugarcane module. Field Crops Research 61, 253–271.
1999
Minamikawa, T., Williams, D. A., Bowser, D. N. & Nagley, P. (1999) Mitochondrial permeability transition and swelling can occur reversibly without inducing cell death in intact human cells. Experimental Cell Research 246, 26–37.
1999
O’Leary, G. J. (1999) A review of three sugarcane simulation models in their prediction of sucrose yield. Proceedings of the Annual Congress – South African Sugar Technologists’ Association 33–34.
1999
van Oosterom, E. J., O’Leary, G. J. & Carberry, P. S. (1999) ‘Development of a pearl millet model for managing crops and croplands in the semi-arid tropics.’
1999
Reyenga, P. J., Howden, S. M., Meinke, H. & McKeon, G. M. (1999) Modelling global change impacts on wheat cropping in south-east Queensland, Australia. Environmental Modelling & Software 14, 297–306.
1999
Snow, V. O., Bond, W. J., Myers, B. J., Theiveyanathan, S., Smith, C. J. & Benyon, R. G. (1999) Modelling the water balance of effluent-irrigated trees. Agricultural Water Management 39, 47–67.
1999
Snow, V. O., Smith, C. J., Polglase, P. J. & Probert, M. E. (1999) Nitrogen dynamics in a eucalypt plantation irrigated with sewage effluent or bore water. Australian Journal of Soil Research 37, 527–544.
1999
Thorburn, P. J., Probert, M. E., Lisson, S., Wood, A. W. & Keating, B. A. (1999) Impacts of trash retention on soil nitrogen and water: an example from the Australian sugarcane industry. Proceedings of the Annual Congress – South African Sugar Technologists’ Association 75–79.
1998
Asseng, S., Fillery, I. R. P., Anderson, G. C., Dolling, P. J., Dunin, F. X. & Keating, B. A. (1998) Use of the APSIM wheat model to predict yield, drainage, and NO3’(-) leaching for a deep sand. Australian Journal of Agricultural Research 49, 363–377.
1998
Asseng, S., Keating, B. A., Fillery, I. R. P., Gregory, P. J., Bowden, J. W., Turner, N. C., Palta, J. A. & Abrecht, D. G. (1998) Performance of the APSIM-wheat model in Western Australia. Field Crops Research 57, 163–179.
1998
Cassarino, D. S., Swerdlow, R. H., Parks, J. K., Parker, W. D. & Bennett, J. P. (1998) Cyclosporin A increases resting mitochondrial membrane potential in SY5Y cells and reverses the depressed mitochondrial membrane potential of Alzheimer’s disease cybrids. Biochemical and Biophysical Research Communications 248, 168–173.
1998
Connolly, R. D., Freebairn, D. M. & Bell, M. J. (1998) Change in soil infiltration associated with leys in south-eastern Queensland. Australian Journal of Soil Research 36, 1057–1072.
1998
Keating, B. A. & Meinke, H. (1998) Assessing exceptional drought with a cropping systems simulator: A case study for grain production in northeast Australia. Agricultural Systems 57, 315–332.
1998
Meinke, H., Hammer, G. L., van Keulen, H. & Rabbinge, R. (1998) Improving wheat simulation capabilities in Australia from a cropping systems perspective – III. The integrated wheat model (I_WHEAT). European Journal of Agronomy 8, 101–116.
1998
Meinke, H., Rabbinge, R., Hammer, G. L., van Keulen, H. & Jamieson, P. D. (1998) Improving wheat simulation capabilities in Australia from a cropping systems perspective – II. Testing simulation capabilities of wheat growth. European Journal of Agronomy 8, 83–99.
1998
Muchow, R. C. & Keating, B. A. (1998) Assessing irrigation requirements in the Ord Sugar Industry using a simulation modelling approach. Australian Journal of Experimental Agriculture 38, 345–354.
1998
Nelson, R. A. & Cramb, R. A. (1998) Economic incentives for farmers in the Philippine uplands to adopt hedgerow intercropping. Journal of Environmental Management 54, 83–100.
1998
Nelson, R. A., Cramb, R. A. & Mamicpic, M. A. (1998) Erosion/productivity modelling of maize farming in the Philippine uplands part III: Economic analysis of alternative farming methods. Agricultural Systems 58, 165–183.
1998
Nelson, R. A., Dimes, J. P., Paningbatan, E. P. & Silburn, D. M. (1998) Erosion/productivity modelling of maize farming in the Philippine uplands part I: Parameterising the agricultural production systems simulator. Agricultural Systems 58, 129–146.
1998
Nelson, R. A., Dimes, J. P., Silburn, D. M., Paningbatan, E. P. & Cramb, R. A. (1998) Erosion/productivity modelling of maize farming in the Philippine uplands part II: Simulation of alternative farming methods. Agricultural Systems 58, 147–163.
1998
Probert, M. E., Carberry, P. S., McCown, R. L. & Turpin, J. E. (1998) Simulation of legume-cereal systems using APSIM. Australian Journal of Agricultural Research 49, 317–327.
1998
Probert, M. E., Dimes, J. P., Keating, B. A., Dalal, R. C. & Strong, W. M. (1998) APSIM’s water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems. Agricultural Systems 56, 1–28.
1997
Keating, B. A., Verburg, K., Huth, N. I. & Robertson, M. J. (1997) ‘Nitrogen management in intensive agriculture: Sugarcane in Australia’.
1997
Meinke, H. & Stone, R. C. (1997) On tactical crop management using seasonal climate forecasts and simulation modelling-a case study for wheat. Scientia Agricola 54, 121–129.
1997
Muchow, R. C., Robertson, M. J. & Keating, B. A. (1997) ‘Limits to the Australian sugar industry: climatic and biological factors.’
1997
Nelson, R. A., Dimes, J. D., Silburn, D. M., Paningbatan, E. P., Cramb, R. A. & Mamicpic, M. A. (1997) Long-term effects of land management on soil erosion, crop yield and on-farm economics in the Philippines. ACIAR Technical Reports Series 111–138.
1997
van Oosterom, E. J. (1997) ‘Applications for cropping systems simulation models in on-farm nutrient management research.’
1996
Carberry, P. S., McCown, R. L., Muchow, R. C., Dimes, J. P., Probert, M. E. & Dalgliesh, N. P. (1996) Simulation of a legume ley farming system in northern Australia using the Agricultural Production Systems Simulator. Australian Journal of Experimental Agriculture 36, 1037–1048.
1996
Hammer, G. L., Chapman, S. C. & Muchow, R. C. (1996) Modelling sorghum in Australia: the state of the science and its role in the pursuit of improved practices. AIAS Occasional Publication 43–61.
1996
Jones, R. K., Probert, M. E., Dalgliesh, N. P. & McCown, R. L. (1996) Nitrogen inputs from a pasture legume in rotations with cereals in the semi-arid tropics of northern Australia: Experimentation and modelling on a clay loam soil. Australian Journal of Experimental Agriculture 36, 985–994.
1996
McCown, R. L., Hammer, G. L., Hargreaves, J. N. G., Holzworth, D. P. & Freebairn, D. M. (1996) APSIM: A novel software system for model development, model testing and simulation in agricultural systems research. Agricultural Systems 50, 255–271.
1996
Prentis, D., Holmes, P. & Cox, P. (1996) The simultaneous management of price and production risk. Proceedings of the 8th Australian Agronomy Conference, Toowoomba, Queensland, Australia, 30 January-2 February, 1996. 454–457.
1996
Probert, M. E., Dimes, J. P., Dalal, R. C. & Strong, W. M. (1996) APSIM SOILWAT and SOILN: validation against observed data for a cracking clay soil. Proceedings of the 8th Australian Agronomy Conference, Toowoomba, Queensland, Australia, 30 January-2 February, 1996. 458–461.
1996
Turpin, J. E., Huth, N., Keating, B. A. & Thompson, J. P. (1996) Computer simulation of the effects of cropping rotations and fallow management on solute movement. Proceedings of the 8th Australian Agronomy Conference, Toowoomba, Queensland, Australia, 30 January-2 February, 1996. 558–561.
1996
Turpin, J. E., Probert, M. E., Holford, I. C. R. & Poulton, P. L. (1996) Simulation of cereal-legume rotations using APSIM. Proceedings of the 8th Australian Agronomy Conference, Toowoomba, Queensland, Australia, 30 January-2 February, 1996. 562–565.
1996
Verburg, K. (1996) Methodology in soil water and solute balance modelling: an evaluation of the APSIM-Soil Wat and SWIMv2 models. Report of an APSRU/CSIRO Division of Soils workshop held in Brisbane, Australia, 16-18 May 1995. Divisional Report – CSIRO Division of Soils 88 pp.–88 pp.
1996
Verburg, K., Keating, B. A., Bristow, K. L., Huth, N. I., Ross, P. J. & Catchpoole, V. R. (1996) ‘Evaluation of nitrogen fertiliser management strategies in sugarcane using APSIM-SWIM’.
1996
Verburg, K., Ross, P. J. & Bristow, K. L. (1996) SWIMv2.1. User manual. Divisional Report – CSIRO Division of Soils 107 pp.–107 pp.
1995
Mccown, R., Hammer, G., Hargreaves, J., Holzworth, D. & Huth, N. (1995) Apsim – an Agricultural Production System Simulation-Model for Operational-Research. Mathematics and Computers in Simulation 39, 225–231.
1995
Probert, M. E., Keating, B. A., Thompson, J. P. & Parton, W. J. (1995) Modelling water, nitrogen, and crop yield for a long-term fallow management experiment. Australian Journal of Experimental Agriculture 35, 941–950.