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AgResearch Ltd. NZ joins the APSIM Initiative.

Trans-Tasman collaboration in agricultural systems research has taken a step forward with AgResearch Ltd (www.agresearch.co.nz), New Zealand’s largest Crown Research Institute, recently signed up to the APSIM Initiative (AI) unincorporated joint venture. The AI was established in 2007 to promote the development and use of the science modules and infrastructure software of APSIM (Agricultural Production Systems Simulator). The Foundation Members of the AI are CSIRO, DAF and UQ.

AgResearch brings an extensive range of expertise to the AI collaboration, including science and modelling relating to:
  • Dairy systems;
  • Stock and pasture;
  • Soil carbon and nitrogen;
  • Whole farm and multi-paddock; and
  • Pastoral agro-ecosystems.

In addition, AgResearch has been actively involved in the development of APSIM for several years, has led or contributed to the development of several modules including AgPasture, MicroMet and SoilNitrogen and has already contributed to over 40 indexed publications concerned with the development or usage of APSIM. 

Tuesday, 19 January 2016/Author: Chris Murphy/Number of views (3333)/Comments (0)/
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APSIM Training - Montpellier, FRANCE, 10th & 11th September 2015

The next APSIM training course is scheduled to be held in Montpellier, FRANCE, on the 10th & 11th September 2015.  The course is being held In conjunction with the 5th International Symposium for Farming Systems Design.

You can view the training program and registration form here.

Thursday, 7 May 2015/Author: Chris Murphy/Number of views (3974)/Comments (0)/
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APSIM Training - Lincoln, New Zealand 25th & 26th March 2015

The next APSIM training course is scheduled to be held at AgResearch Lincoln, New Zealand on the 25th & 26th March 2015. 

You can view the training program and registration form here.

Thursday, 18 December 2014/Author: Chris Murphy/Number of views (3487)/Comments (0)/
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APSIM Users and Developers Forum - 5th November 2014

The second APSIM Users and Developers Forum will be held on 5th November 2014. The forum is being held in Canberra but will also be available online via Live streaming.

 You can view the program and registration form here.

 The Live stream link is https://new.livestream.com/apsim/forum2014 .

Monday, 1 September 2014/Author: Chris Murphy/Number of views (2352)/Comments (0)/
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APSIM Training - Canberra, 6th & 7th November 2014

The next APSIM training course is scheduled to be held at the CSIRO Discovery Centre, Canberra, Australia on the 6th & 7th November 2014. 

You can view the training program and registration form here.

Monday, 1 September 2014/Author: Chris Murphy/Number of views (1453)/Comments (0)/
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FEATURES

Lateral spread affects nitrogen leaching from urine patches

The paddocks in APSIM simulations can be used to model experiments with complex geometry as shown in this example from a recently-published paper (https://authors.elsevier.com/c/1WxqtB8ccgYiR  - available free until 15 June) 

Schematic representation of a urine patch and the simpler representation of the complex geometry used in the APSIM modelling. 

Nitrate leaching from urine deposited by grazing animals is a critical constraint for sustainable dairy farming in New Zealand. While considerable progress has been made to understand the fate of nitrogen (N) under urine patches, little consideration has been given to the spread of urinary N beyond the wetted area. In this study, we modelled the lateral spread of nitrogen from the wetted area of a urine patch to the soil outside the patch using a combination of two process-based models (HYDRUS and APSIM). The simulations provided insights on the extent and temporal pattern for the redistribution of N in the soil following a urine deposition and enabled investigating the effect of lateral spread of urinary N on plant growth and N leaching. The APSIM simulation, using an implementation of a dispersion-diffusion function, was tested against experimental data from a field experiment conducted in spring on a well-drained soil. Depending on the geometry considered for the dispersion-diffusion function (plate or cylindrical) the area-averaged N leaching decreased by 8 and 37% compared with simulations without lateral N spread; this was due to additional N uptake from pasture on the edge area. A sensitivity analysis showed that area-averaged pasture growth was not greatly affected by the value of the dispersion factor used in the model, whereas N leaching was very sensitive. Thus, the need to account for the edge effect may depend on the objective of the simulations. The modelling results also showed that considering lateral spread of urinary N was sufficient to describe the experimental data, but plant root uptake across urine patch zones may still be relevant in other conditions. Although further work is needed for improving accuracy, the simulated and experimental results demonstrate that accounting for the edge effect is important for determining N leaching from urine-affected areas.

Cichota, R., Vogeler, I., Snow, V., Shepherd, M., Mcauliffe, R., Welten, B., 2018. Lateral spread affects nitrogen leaching from urine patches. Sci. Total Environ. 635: 1392–1404. doi:10.1016/j.scitotenv.2018.04.005

Monday, 30 April 2018/Author: Sarah Cleary/Number of views (82)/Comments (0)/
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Predicting optimum crop designs using crop models and seasonal climate forecasts

Expected increases in food demand and the need to limit the incorporation of new lands into agriculture to curtail emissions, highlight the urgency to bridge productivity gaps, increase farmers profits and manage risks in dryland cropping. A way to bridge those gaps is to identify optimum combination of genetics (G), and agronomic managements (M) i.e. crop designs (GxM), for the prevailing and expected growing environment (E). Our understanding of crop stress physiology indicates that in hindsight, those optimum crop designs should be known, while the main problem is to predict relevant attributes of the E, at the time of sowing, so that optimum GxM combinations could be informed to farmers. In a recent article published in Nature’s Scientific Reports by UQ-QAAFI’s Farming Systems Research Group, A/Prof Daniel Rodriguez tested our capacity to inform that “hindsight”. The work involved linking the APSIM-sorghum model with a skilful seasonal climate forecasting system, to answer “What is the value of the skill in seasonal climate forecasting, to inform crop designs?” 

The article is open access and can be downloaded from http://rdcu.be/F7Yp.



Thursday, 22 February 2018/Author: Dean Holzworth/Number of views (326)/Comments (0)/
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Modelling forage yield and water productivity of continuous crop sequences in the Argentinian Pampas

The global area and farming systems to which APSIM can be applied with confidence to have recently expanded with a research article recently published in the European Journal of Agronomy. A validation analysis showed that APSIM was able to accurately simulate the forage yield and water productivity of a range of forage crops and also continuous forage crop rotations across the Argentinian Pampas. Forage crops that the model was tested for includes maize, soybean, wheat, oats, annual ryegrass and barley. Water productivity was simulated with a greater accuracy when considering the whole crop rotation rather than individual crops. Crop forage yield simulated with greater accuracy for crops harvest without regrown compared to crops harvested frequently and allowed to regrowth.

For further details see the new paper titled ‘Modelling forage yield and water productivity of continuous crop sequences in the Argentinian Pampas’ published in European Journal of Agronomy at https://doi.org/10.1016/j.eja.2017.10.004.

Monday, 5 February 2018/Author: Dean Holzworth/Number of views (592)/Comments (0)/
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APSIM features in international intercomparison of simulation models for grassland and crop yield and N2O emissions

In a paper recently accepted for publication in Global Change Biology (published open access), APSIM has contributed to an assessment of the ability of simulation models to simultaneously predict yield and N2O emissions.  The study included five variants of APSIM (two in the crop part of the study and three in the grasslands part).  In this study the modellers started with little site information (soil properties, weather data, management information) as Stage 1 and incrementally more data was supplied until in Stage 5 modellers had all available data.  Crop model outputs improved at Stage 3 when phenology information was made available but grassland model outputs were little affected by the availability of additional information.  As with other intercomparisons, the ensemble median performed better than any one model when considering multiple sites.  It was found that a small ensemble of three models outperformed the full ensemble.  This is the first study which has examined the effect of data availability of the performance of an ensemble and also the first examining both yield and N2O emissions.

Thursday, 9 November 2017/Author: Dean Holzworth/Number of views (965)/Comments (0)/
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APSIM used in over 110 countries

APSIM is now being used in over 110 countries around the world. For the 2016/17 reporting year there were just over 1870 R&D non-commercial licensed users, around a 10% increase on the previous year. This resulted in some 2960 downloads of all versions.
A copy of the APSIM users map is available here.
Thursday, 3 August 2017/Author: Chris Murphy/Number of views (1232)/Comments (0)/
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