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
The CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at 5 or 30 arc-minutes spatial resolutions using an ensemble modeling approach. Twenty-three important food and feed crops have been implemented using the DSSAT Cropping System Model as the main crop model engine.
CRAFT is an initiative of CCAFS and was developed in partnership with the University of Florida. It has been successfully applied to forecast the in-season yield of wheat and rice cropping systems in Nepal and Bangladesh. It has also been evaluated for yield forecasting and climate change applications in West Africa in collaboration with the WASCAL Project, Agrhymet, and the CASCAID Project of ICRISAT.
Read More about CRAFT Download CRAFT v4.0
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.
DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA The DSSAT annual training was held from May 20 to 25, 2024, at the Stuckey Auditorium, Griffin Campus, University of Georgia, USA. The event was led by 9 DSSAT faculty members with 65 participants from 31 different countries. The participants received a […]
Gridded crop modeling builds an understanding of how climate change impacts crops, helping researchers to adapt agricultural methods and combat food insecurity. Global temperatures are projected to warm between 1.5-2 degrees Celsius by the year 2050, and 2-4 degrees Celsius by 2100. This is likely to change precipitation patterns, which will impact crop yields, water […]
We are thrilled to announce our latest resource, designed to empower the DSSAT community like never before. This resource page on the website aims to help whether you are a seasoned DSSAT developer or just starting out, this resource is for you. Please head over to our website, where you will find detailed instructions on […]
Training the Next Generation of Agronomists on How to Use Crop Models for Cropping System Design Group picture with participants of the “Using Crop Models for Cropping Systems Desing” Course at Estación Experimental Mario A. Cassinoni, Paysandú, Uruguay An Undergraduate Course entitled “Use of Crop Models for Cropping Systems Design” was organized by The Department […]
Training the Next Generation of Crop Modelers for Crop Model Development and Improvement Group picture with participants of the Crop Modeling and Climate Change Course at Parkhotel ‘de Bosrand’, Ede, the Netherlands. A Postgraduate Course entitled “Crop Modeling and Climate Change Course – Training the Next Generation of Crop Modelers for Crop Model Development and […]
The Institute of Agronomy, Bahauddin Zakariya University Multan, Pakistan organized a three day workshop entitled “International Workshop on Decision Support System for Agro-Technology Transfer (DSSAT) for Improving the Standards of Research” from March 4 – 6, 2024. Speakers and presenters included Prof. Dr. Ir. Gerrit Hoogenboom, University of Florida; Prof. Dr. Syed Aftab Wajid, University […]
During the week of February 19-23, 2024, the DSSAT Team from the University of Florida (UF) participated in the 14th AMEI Development Sprint hosted by the Leibniz Centre for Agricultural Landscape Research (ZALF) located in Müncheberg, Germany. This 14th AMEI Development Sprint was a continuation of the 13th AMEI Development Sprint that was hosted at the […]
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