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NEWS

APSIM Training, Brisbane, 11th and 12th October 2016

The APSIM training course originally planned for August in Brisbane, Australia has been rescheduled for 11th and 12th October 2016.

You can view the training program and registration form here.

Monday, 8 August 2016/Author: Chris Murphy/Number of views (2695)/Comments (0)/
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APSIM Training, Brisbane, August 2016 - POSTPONED, NEW DATE TO BE ADVISED

 Due to unforeseen circumstances the APSIM training course originally scheduled for the 9th & 10th August 2016 in Brisbane, Australia will be postponed. A new date will be advised as soon as possible.


Friday, 10 June 2016/Author: Chris Murphy/Number of views (4318)/Comments (0)/
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APSIM 7.8 Release

Apsim version 7.8 has been released. You can download it from the registration page or view a list of the issues addressed here.

Thursday, 24 March 2016/Author: Dean Holzworth/Number of views (4225)/Comments (0)/
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APSIM Training - Toowoomba, AUSTRALIA, 4th & 5th May 2016

The next APSIM training course is scheduled to be held in Toowoomba, AUSTRALIA, on the 4th & 5th May 2016. 

You can view the training program and registration form here.

Tuesday, 8 March 2016/Author: Chris Murphy/Number of views (3260)/Comments (0)/
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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 (3078)/Comments (0)/
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FEATURES

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 (15)/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 (66)/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 (497)/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 (843)/Comments (0)/
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Simulating carbon dioxide fertilisation in crops

To model crop growth under the higher atmospheric carbon dioxide concentrations that will occur in the future, there needs to be and accurate representation of the link between atmospheric carbon dioxide concentrations and growth.

A review of APSIM’s crop models showed that carbon dioxide fertilisation effects were well founded, tested and documented in a number of important (mainly C3 crops) crops, notably wheat. There was agreement that many of these well founded representations could be generalised to other crops with similar photosynthetic pathways (e.g. generalising the science in wheat to other C3 crops). The situation was less well substantiated in crops with the C4 photosynthetic pathway.

The overall conclusion is that for a range of important crops, the general situation of representing carbon dioxide fertilisation effects on photosynthesis and transpiration in APSIM was close to the ‘state of the art’ given current understanding of, and data on the processes involved, and the aims of the APSIM model. There is an immediate need for better documentation of the representation of carbon dioxide fertilisation in APSIM, and a strategic need for further research and model development in this area.

For further details see the new paper titled Responses to atmospheric CO2 concentrations in crop simulation models: a review of current simple and semicomplex representations and options for model development published in Global Change Biology at the following link.

The current status of the representation, parameterisation and validation of CO2 fertilisation of plants in APSIM compiled by Vanuytrecht and Thorburn is also available here.

Wednesday, 29 March 2017/Author: Chris Murphy/Number of views (1319)/Comments (0)/
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