Presented by Gerrit Hoogenboom during the Symposium – 
“Improvement and Application of Crop Growth and Agroecosystem Models for Knowledge Advancement and Sustainable Development” as part of the 2021 ASA-CSSA-SSSA Annual Meeting held in Salt Lake City, Utah, USA
• Crop model users;
• Crop model trainers;
• Crop model developers;
• Models for the most important food, feed, fiber, and fuel crops;
• Tools and utilities for data preparation;
• Minimum data for model calibration and evaluation; and
• Application programs for assessing real-world problems.
This collection summarises key advances in crop modelling, with a focus on developing the next generation of crop and whole-farm models to improve decision making and support for farmers.
Chapters in Part 1 review advances in modelling individual components of agricultural systems, such as plant responses to environmental conditions, crop growth stage prediction, nutrient and water cycling as well as pest/disease dynamics. Building on topics previously discussed in Part 1, Part 2 addresses the challenges of combining modular sub-systems into whole farm system, landscape and regional models. Chapters cover topics such as integration of rotations and livestock, as well as landscape models such as agroecological zone (AEZ) models. Chapters also review the performance of specific models such as APSIM and DSSAT and the challenges of developing decision support systems (DSS) linked with such models. The final part of the book reviews wider issues in improving model reliability such as data sharing and the supply of real-time data, as well as crop model inter-comparison.
Read More… Watch the informative video Buy the bookDownload brochure
CRAFT: A New Spatial Yield Forecasting ToolThe CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at spatial resolutions of either 5 or 30 arc-minutes using an ensemble modeling approach. Currently the DSSAT, APSIM, and SARRA-H crop simulation models have been implemented for nine important food and feed crops using the AgMIP IT tools. CRAFT was an initiative of CCAFS and was developed in partnership with the Asia Risk Center, Washington State University, and the University of Florida.
Read More about CRAFT Download CRAFT v3.4
Researchers increasingly seek to integrate results from multiple experiments. The ICASA V2.0 standards allow flexible description of field experiments. Major categories of data are management, soil, weather and crop responses. The standards may be implemented in diverse digital formats. Planned improvements emphasize data quality and appropriate usage.
The new book gives a detailed description of the application of DSSAT in simulating crop and soil processes within various Agro-ecological zones in Africa. The book provides examples of the application of DSSAT models to simulate nitrogen applications, soil and water conservation practices including effects of zai technology, phosphorus and maize productivity, generation of genetic coefficients, long-term soil fertility management technologies in the drylands, microdosing, optimization of nitrogen x germplasms x water, spatial analysis of water and nutrient use efficiencies and, tradeoff analysis.
The University of Toyama, in collaboration with the University of Florida, the DSSAT foundation, and the Asia Pacific Network for Global Change Research (APN-GCR), organized a joint training workshop entitled “Crop Simulation Modeling and Effects of Climate Risks on Agricultural Production Systems in Southeast Asia.” The overall aim of this training program was to provide […]
“Train the Trainers” DSSAT Graduation Ceremony A strong crop modeling community has developed in Ethiopia during the past several years. Under the auspices of the Community of Practice of the Decision Support Modeling Tools for Ethiopia (DSMT-E), an initial training workshop on crop modeling and DSSAT was held from March 14-18, 2022 at the International […]
The DSSAT Foundation will be sponsoring the 25th Annual Open Forum on Crop Modeling and Decision Support Systems during this year’s ASA-CSSA-SSSA 2022 International Annual Meeting. The forum is scheduled for Monday night, November 7, 2022, from 7:30 – 9:00 pm in Room 312 of the Baltimore Convention Center in Baltimore, Maryland. The forum is an informal discussion about crop modeling […]
Participants of the DSSAT 2022 Training Course held from August 15-19, 2022, at S. Seifullin Kazakh Agro Technical University (KATU), Nur Sultan, Kazakhstan The project entitled “Development of a decision-making system for the production of the main types of agricultural crops based on the adaptation of the DSSAT model for the growth and development of […]
Question When working with XBuild, I am getting a message: “One of the tools in DSSAT might not work correctly as you have a new version of dbgrid32.ocx in Windows\SysWOW64 or Windows\System32 folder.” How can I resolve this? Answer This error occurs when you have ArcGIS or ERDAS installed on your computer. To resolve this […]
Question Can someone tell me how to generate daily weather data from an historical daily meteorological data set using WeatherMan in DSSAT)? Answer In order to generate daily weather data you require climate data as input. WeatherMan has the capability to create the climate data if you import at least 5 to 10 years of […]
The steps to add a new cultivar line to DSSAT can be a confusing process if you are new to DSSAT or have never had DSSAT training. We will guide you through this process in the steps below. Step #1: Open the DSSAT Shell as shown in Figure 1. Figure 1 Step #2: Follow the […]
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