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NEWS

APSIM 7.10 Release


APSIM version 7.10 has been released. You can download it from the registration page or view a list of the issues addressed here.
Thursday, 29 March 2018/Author: Dean Holzworth/Number of views (155)/Comments (0)/
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APSIM Training, Canberra, 4th and 5th April 2018

This training course is now full. There will be another course scheduled for the second half of 2018.

The next APSIM training course is scheduled for 4th and 5th April 2018 in Canberra, Australia.

You can view the training program and registration form here

Monday, 5 February 2018/Author: Dean Holzworth/Number of views (428)/Comments (0)/
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University of Southern Queensland joins the APSIM initiative.

The APSIM initiative has been further strengthened with the University of Southern Queensland (USQ) recently joining the APSIM initiative (AI) as a member. 

USQ brings an extensive range of expertise to the AI collaboration including:

  • Cropping and grazing system
  • Climate Science
  • Bio-economics
  • Interface design
  • Data analytics
  • App and decision support tool design and development
  • Development of educational materials using APSIM

USQ has been an active user of APSIM in its research and educational activities and its membership reflects its dedication to the continued improvement of the model’s science and applications. 

For more details see https://www.usq.edu.au/news-events/news/2017/10/usq-joins-apsim
Thursday, 26 October 2017/Author: Dean Holzworth/Number of views (668)/Comments (0)/
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APSIM Training, Brisbane, 11th and 12th October 2017

The next APSIM training course is scheduled for 11th and 12th October 2017 in Brisbane, Australia.

You can view the training program and registration form here.


Thursday, 3 August 2017/Author: Chris Murphy/Number of views (1273)/Comments (0)/
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Biochar model

Iowa State University (Archontoulis et al. 2016) have developed a biochar model for APSIM that integrates biochar knowledge and enables simulation of biochar effects within cropping systems.

This model has been released in APSIM  7.9 as an 'example'. It can be accessed by clicking 'New' from within the user interface and selecting the biochar folder. For more details see http://onlinelibrary.wiley.com/doi/10.1111/gcbb.12314/full

Wednesday, 17 May 2017/Author: Chris Murphy/Number of views (1350)/Comments (0)/
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FEATURES

International Crop Modeling Symposium Shows New Opportunities

More than 300 scientists from 47 nations met in Berlin, Germany, during March 15-17, 2016 to exchange ideas on improvement and application of crop simulation models to better predict agricultural production and food security under global climate change. The symposium was co-organized by MACSUR (Modelling European Agriculture with Climate Change for Food Security, http://macsur.eu/) and AgMIP (Agricultural Model Intercomparison and Improvement Project, http://www.agmip.org/), and was locally hosted by the Leibniz Centre for Agricultural Landscape Research (ZALF) in Müncheberg, Germany.

During the 3-day meeting, there were a total of 85 presentations and 130 poster presentations.  There were plenary lectures by James Jones (University of Florida, USA; The next Generation of Crop Models), Serge Savary (INRA, Toulouse, France; Models for Crop Diseases), Graeme Hammer (University of Queensland, Australia; Modelling and Genetics), Andrew J. Challinor (University of Leeds, UK; Models and Climate), Brian Keating (CSIRO, Australia; Models and Cropping Systems) and Achim Dobermann (Director of Rothamsted Research). Closing plenary lecture was given by Prof. Martin Kropff (Director General of the International Maize and Wheat Improvement Center, CIMMYT).

iCROPM2016 Symposium keynote presentations and abstracts are available at http://communications.ext.zalf.de/sites/crop-modelling/SitePages/Symposium%20Presentations.aspx

Tuesday, 10 May 2016/Author: Chris Murphy/Number of views (4134)/Comments (0)/
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APSIM demonstrates the importance of rotations for simulating climate impact assessments.

In a recently published article Teixeira et al. (http://dx.doi.org/10.1016/j.envsoft.2015.05.012) used APSIM to assess the impact of different methods of representing the initial conditions of the soil.  In climate impact studies, weather data are commonly taken over a 20-30 year period to assess inter-annual variability of crop production.  Often, for simplification, individual crops (monocultures) are sown on the same date every year and soil water and nitrogen are reinitialised to default values prior to planting (re-initialised monoculture). However, in reality crops are often grown in a rotation and the soil conditions they encounter at planting are the result of the water and nitrogen balances of the preceding crops and fallow periods.  APSIM is able to construct realistic rotations and represent carryover effects of crop sequences. Teixeira et al. simulated a continuous wheat (grain) ® wheat (forage) ® kale (forage) ® maize (grain) rotation over a 30 years to compare with re-initialised mono-culture simulations.  The production, water use and soil nitrogen of simulated crops were all sensitive to the method of simulation (re-initialised mono-culture vs. continuous rotation) and the sensitivities were greatest when inputs (water and nitrogen) were lowest. This paper shows that greater emphasis should be placed on obtaining suitable initial conditions for simulating crop production, particularly for low intensity crop production systems.  It is difficult to achieve this in single crop simulations, which illustrates the benefit of representing the carryover of soil conditions across multiple crops grown in a sequence as performed with APSIM in this study.

Wednesday, 9 March 2016/Author: Chris Murphy/Number of views (5444)/Comments (0)/
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Global agricultural systems modelling community convening in Berlin

In March 2016, agricultural systems modellers will meet in Berlin, Germany, for an international symposium, coordinated by scientists from Germany, Finland, Australia and the USA. The agricultural systems modelling network spans the whole globe and more than 300 participants are expected to show up for the event, organized by the Leibniz Centre of Agricultural Landscape Research in Müncheberg, Germany. Crop models have developed into indispensable tools in the ongoing discussion on global food security, but only their consistent application through global co-operation assures their usefulness and credibility at the interfaces of agronomy with economics and in informing policy-making. Additional details can be found on the symposium flyer or website www.icropm2016.org.

Tuesday, 19 January 2016/Author: Chris Murphy/Number of views (5295)/Comments (0)/
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APSIM next generation

Over 24 years, the Agricultural Production Systems sIMulator (APSIM) has grown from a farming systems framework used by a small number of people, into a large collection of models used by many thousands of modellers internationally. The software consists of many hundreds of thousands of lines of code in multiple programming languages. This infrastructure has successfully integrated a diverse range of models but isn’t capable of easily meeting new demands from modellers. For these reasons, the APSIM Initiative has begun developing a next generation of APSIM (dubbed APSIM next generation) that is a completely new application with no legacy code and designed to run across different platforms. Currently APSIM next generation has limited capability and isn't quite ready for mainstream use. However, if your modelling problems fits within the specified capability, or you simply wish to evaluate this release, then it can be downloaded from the APSIM registration page (look for 'next generation' in the version drop down box). More information can also be found here.

Monday, 14 September 2015/Author: Chris Murphy/Number of views (5814)/Comments (0)/
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APSIM Oil Palm Model

Palm oil is an important vegetable oil, produced from oil palm grown by many companies and more than a million smallholders worldwide. For growers to make decisions that are good for productivity and the environment, they need to know which practices are best for crop yield, soil fertility, aquatic ecosystems, and to minimise greenhouse gas emissions.   Recent collaboration between ACIAR, James Cook University, CSIRO and the PNG Oil Palm Research Association has developed an Oil Palm model for APSIM.  The model simulates palm growth and development in response to climate, soil and management.  Training workshops have been held in PNG, Indonesia and Malaysia.  A paper describing the new model is available at the following link.

Monday, 3 August 2015/Author: Chris Murphy/Number of views (5369)/Comments (0)/
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