The DSSAT Foundation, in collaboration with the University of Florida and the International Fertilizer Development Center, is planning to host the international training program entitled DSSAT 2022 - "Assessing Crop Production, Water and Nutrient Management, Climatic Risk and Environmental Sustainability with Simulation Models" from May 16 through May 21, 2022 at the University of Georgia Campus in Griffin, Georgia, USA.

Rationale:

Today more than ever, increased crop production depends on judicious use of resources. In addition, issues such as climate change, climate variability, soil carbon sequestration, biofuels, long-term food security, and environmental sustainability have become important issues. Computer simulation models of the soil/plant/atmosphere system can make a valuable contribution to both furthering our understanding of the processes that determine crop responses and predicting crop performance, resource use, and environmental impacts for different environments and management scenarios. User-oriented simulation models greatly facilitate the task of optimizing crop growth and deriving recommendations concerning crop management. They can also be used to determine the potential impact of climate change on crop production and long-term soil carbon sequestration, or provide management scenarios for adapting to climate change and variability.

The overall goal of the workshop is to familiarize participants with the Decision Support System for Agrotechnology Transfer (DSSAT v4.x); the Cropping System Model (CSM) for the simulation of crop growth and yield, soil and plant water, nutrient, and carbon dynamics; and the application of  models to real world problems, such as crop and resource management, climate change and climate variability, carbon sequestration, food security, biofuels, and environmental sustainability.

The program will focus on:

  • Operation of the Windows-based Decision Support System for Agrotechnology Transfer (DSSAT) Version 4.8 software. (http://www.dssat.net/)
  • Description of the DSSAT-Cropping System Model, CSM and its modules, such as CROPGRO and CERES, and the science embedded in the models.
  • Minimum data requirements and experimental data collection for systems simulation.
  • Integration of crop simulation models with data base management and Geographical Information Systems.
  • Application of the DSSAT-CSM model to improve management of cropping systems.

|Details and registration|