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Eucalyptus Model

A model for Eucalyptus plantations has been released in APSIM Next Generation. The current version of the model is suitable for sub-tropical genotypes (e.g. Eucalyptus grandis, E. urophylla, E. saligna, and their hybrids) grown in temperate to tropical environments, as it has been validated and tested on data from multiple sites in Australia and Brazil. This model is suitable for broad-scale industrial plantations, but with further calibration and testing could be suitable for different management settings (e.g. agroforestry applications), or for different genotypes (e.g. temperate plantation genotypes). Examples provided include N-fertilising, irrigation, weeds, harvesting and replanting. The APSIM framework provides a flexible basis on which to further develop this model for both commercial and non-commercial applications. For commercial access, please email apsim@csiro.au 
Thursday, 13 December 2018/Author: Sarah Cleary/Number of views (5)/Comments (0)/
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APSIM Training - 20th and 21st February 2019

The next APSIM Training Workshop will be held in Brisbane on the 20th and 21st of February. 

The 2 day course is aimed at providing training in the use of the Agricultural Production Systems sIMulator (APSIM) focusing on the user interface. It is very 'hands on' with a mix of short presentations and tutorials relevant to research activities.

The course has been designed for both beginners and more advanced users who have developed simulations and require specific technical assistance. It will focus on individual needs with tutors providing one-on-one assistance. Common issues will be summarised and presented as more formal group tutorials.

The course will be limited to a maximum of 12 participants and can be tailored to meet specific needs of individuals and groups. A minimum of 10 participants will be required to run the course.

COURSE REQUIREMENTS

To successfully undertake this course you will need to have:

  • A Laptop PC:
  • A licensed copy of APSIM version 7.10 installed on the laptop;
  • For advanced users, current simulations you are working on, or background data for building simulations;
  • Organised all travel and accommodation associated with your training.

If you would like to register or have any questions, please email apsim@csiro.au

Thursday, 29 November 2018/Author: Sarah Cleary/Number of views (32)/Comments (0)/
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A simple demonstration of connecting APSIM to optimisation techniques

The APSIM Initiative Reference Panel has provided two examples for connecting APSIM to optimisation techniques.  These serve to demonstrate contrasting approaches in connecting APSIM to optimisation software. 

Examples can be found here:

Optimisation Techniques

Monday, 5 November 2018/Author: Sarah Cleary/Number of views (116)/Comments (0)/
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nasapower: NASA POWER Global Meteorology, Surface Solar Energy and Climatology Data Client

International users of APSIM can now enjoy easy access to APSIM metrological files (.met files) from NASA POWER via a new R package developed by USQ’s Associate Professor of Field Crops Pathology Dr Adam Sparks called nasapower now available on CRAN.  One of the functions in this new package takes the NASA POWER agroclimatology data and reformats it into an APSIM .met file for use in APSIM simulations.  Information and documentation for the new package can be found at https://ropensci.github.io/nasapower/.

Thursday, 18 October 2018/Author: Sarah Cleary/Number of views (130)/Comments (0)/
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Updated Instructions for Submission of Improvements to APSIM for Review

As a user of APSIM, you may access and modify all source code. As per the conditions agreed to on download, all modifications to APSIM must be submitted to the AI and be subject to the Reference Panel evaluation process before inclusion into the official APSIM release. Updated instructions for submitting Improvements to APSIM for review by the APSIM Initiative Reference Panel can be found here

It can be useful to notify the APSIM Initiative that you are planning on making an improvement to APSIM. This can often lead to others suggesting ideas or collaborators to work with. To do this you need to create an issue in GitHub with a description of what you intend doing. This is for APSIM 7.x and APSIM Next Generation.  Any queries, please email apsim@csiro.au.

Tuesday, 9 October 2018/Author: Sarah Cleary/Number of views (94)/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 (806)/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 (1704)/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 (2179)/Comments (0)/
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