What is DSSAT?
Decision Support System for Agrotechnology Transfer (DSSAT) is a windows-based software application program that comprises dynamic crop growth simulation models for over 45 crops. DSSAT is supported by a range of utilities and apps for weather, soil, genetic, crop management, and observational experimental data, and includes example data sets for all crop models. The crop simulation models simulate growth, development and yield as a function of the soil-plant-atmosphere dynamics. DSSAT has been applied to address many real-world problems and issues ranging from genetic modeling to on-farm and precision management, regional assessments of the impact of climate variability and climate change, economic and environmental sustainability, and food and nutrition security. DSSAT has been used for more than 30 years by researchers, educators, consultants, extension agents, growers, private industry, policy and decision makers, and many others in over 198 countries worldwide. Learn more…
13
Aug
New DSSAT Version 4.8.6 Released
The DSSAT model development team has been working hard to enhance the Cropping System Model (CSM) and the DSSAT suite of tools, utilities, and applications. After remarkable progress and bi-annual Development Sprints, we are thrilled to announce the latest advancements. Major Updates in DSSAT Version 4.8.6: The July 2026 release introduces new tools, crop models, and […]
12
Aug
New Open Access Chapters on Pest/Disease Modeling and Modeling of Nutrient Cycles
Recently two chapters published in the book “Advances in Crop Modeling for a Sustainable Agriculture“, edited by Professor Ken Boote, have recently become available through Open Access. The first chapter is entitled “Improving modeling of nutrient cycles in crop cultivation” by Upendra Singh and Cheryl Porter. This chapter can be obtained from the following link […]
24
Jun
PhD Fellowship in Crop Modeling at the University of Florida
The Department of Agricultural and Biological Engineering at the University of Florida has a world-renowned program on the development and application of dynamic crop simulation models. The department is also responsible for the Decision Support System for Agrotechnology Transfer (www.DSSAT.net), one of the most widely used crop models across the globe. A Graduate Research Fellowship […]
10
Jun
DSSAT 2026 European Training Program
The DSSAT Foundation, in collaboration with the Technical University of Munich (TUM) and the University of Florida will be hosting the DSSAT 2026 European Training Program from Monday, September 7 through Saturday, September 12, 2026. The workshop will be held at the World Agricultural Systems Center – Hans Eisenmann Forum of the Technical University of […]
29
May
DSSAT 2026 International Training Program at the University of Georgia
DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia, USA The DSSAT 2026 International Training Program was held from May 18 to 23, 2026, at the University of Georgia Griffin Campus in Griffin, Georgia, USA. The program focused on Assessing Crop Production, Water and Nutrient Management, Climatic Risk, and Environmental Sustainability with […]
29
May
Crop Modeling and Cropping System Design Undergraduate Course @ Universidad de la República, Uruguay
Training the Next Generation of Agronomists on How to Use Crop Models for Cropping Systems Design – Third Edition 2026 Group picture with participants of the “Using Crop Models for Cropping Systems Design” Course at Estación Experimental Dr. Mario A. Cassinoni, Paysanú, Uruguay. An Undergraduate Course entitled “Use of Crop Models for Cropping Systems Design” […]
30
Apr
Training Workshop on Agrometeorology & Crop Modeling in Cameroon
A training session entitled “Using Climate Data for Agricultural Adaptation in Tropical African Environments” was held from April 7 to 9, 2026 in Garoua, Cameroon. The workshop was held under the auspices of the Innovacc project funded by the European Union (DeSIRA Initiative), which aims to strengthen the resilience of populations to climate change in […]
