Introducing a new parallel computing system for calibrating genetic parameters within the crop modules of the Cropping System Model (CSM) of DSSAT The Generalized Likelihood Uncertainty Estimation Parallelized (GLUEP)
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.
DSSAT Open Forum Session during the 2024 Annual Meeting of the American Society of Agronomy-Crop Science Society of America-Soil Science Society of America
Ankara University, in collaboration with the University of Florida, developed a project entitled “Capacity Building on the Dissemination of the Use of Agro-technological Decision Support Systems in Agriculture.” The project has been funded by the US Embassy in Türkiye under the auspices of a US-Türkiye bilateral Program.
Hybrid Meeting, University of Florida, Gainesville | January 17-20, 2023
Improvement and Application of Agroecosystem Models: The DSSAT experience
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
The DSSAT crop modeling ecosystem is one of the oldest and most widely used crop modeling platforms across the world. The success of DSSAT is based on the inclusiveness and participatory approach that has been used since the original development of the CERES and CROPGRO family of models and the emphasis on sharing data and model code. DSSAT is not just a software program, but an ecosystem of:
• 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.
Advances in crop modelling for a sustainable agriculture
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.
The 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.
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.
Improving Soil Fertility Recommendations in Africa
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.
ByGerrit Hoogenboom•April 20, 2024•Seminar•Comments Off on 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 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 […]
ByGerrit Hoogenboom•March 6, 2024•News & Event, Past Workshops, Workshops•Comments Off on International Workshop on Decision Support System for Agro-Technology Transfer for Improving Standards of Research held from March 4-6, 2024 at Bahauddin Zakariya University, Multan, Pakistan
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 […]
During the week of January 8-12, 2024, the 20th DSSAT Development Sprint was held in a “Hybrid” format. The DSSAT Development Sprint was hosted by Global Food Systems Institute & Department of Agricultural and Biological Engineering of the University of Florida. In-person participants included one representatives from the University of Kentucky, seventeen representatives from the […]
Peter Jones, a pioneer in using computers to understand crop adaptation, passed away in Wales on October 8, 2023. The DSSAT community may recognize Peter as the developer of the widely used MarkSim weather generator, which can generate series of daily data both for current weather and for climate change scenarios of future weather. A […]
From November 27 to December 1, 2023, the DSSAT Team hosted the13th AMEI Development Sprint in the Department of Agricultural and Biological Engineering (UF/IFAS) in Gainesville, Florida. This meeting was held in collaboration with the Laboratory of Ecophysiology of Plants under Environmental Stress (LEPSE) of the French National Research Institute for Agriculture, Food, and the […]