If you are attending the ASA-CSSA-SSSA 2023 International Annual Meeting in ST. LOUIS, come and join us at the DSSAT Open Forum where we will exchange what’s new on crop modeling research, collaboration opportunities, and development on data and tools.
Dr. Cynthia Rosenzweig of the United States will receive the 2022 World Food Prize for her seminal contributions to understanding and predicting the impacts of the interaction between climate and food systems. Through designing and leading rigorous, collaborative observational and modeling research, she provided the evidence used by thousands of decision-makers in more than 90 countries to both mitigate and adapt to climate change in local, national and global food systems.
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 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 […]
“Sod Couch” at the University of California Davis Virtual DSSAT Sprint participants around the world During the week of July 25-29, 2022, the 17th DSSAT Development Sprint was held in a “Hybrid” format based on the success of the prior DSSAT Development “Hybrid” Sprints.. The DSSAT Development Sprint was hosted by the Department of Land, […]
On June 23, 2022, Gerrit Hoogenboom conducted an on-line workshop and seminar entitled “Crop Modeling as a Tool for Understanding the Genotype x Environment Interaction.” The overall goal of the workshop was to introduce the participants of the workshop to the application of dynamic crop simulation models with emphasis on using crop models for understanding […]
Dr. Arjan Gijsman passed away on June 13, 2021, after a very long battle with the merciless disease Multiple Scleroris. Arjan played an active role in the development and advancement of the Cropping System Model (CSM) of DSSAT. To recognize Arjan’s contributions to crop modeling and DSSAT, he is included as a co-author of the […]
DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA Scientists from across the world met from May 17-22, 2022 on the University of Georgia Griffin Campus to learn about the latest version of the Decision Support System for Agrotechnology Transfer (DSSAT) computer software program. The DSSAT crop modeling ecosystem helps researchers […]
Cynthia Rosenzweig UNITED STATES Dr. Cynthia Rosenzweig of the United States will receive the 2022 World Food Prize for her seminal contributions to understanding and predicting the impacts of the interaction between climate and food systems. Through designing and leading rigorous, collaborative observational and modeling research, she provided the evidence used by thousands of decision-makers […]
Since the release of DSSAT Version 4.7.5, the DSSAT model development team has been working diligently to improve the Cropping System Model (CSM) of DSSAT as well as the various tools, utilities, and application programs. Much progress was made during the DSSAT Development Sprints or Hackathons that are held bi-annually. We evaluated the first version […]
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