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 2022 International Training Program at the University of Georgia
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 […]
Dr. Cynthia Rosenzweig – 2022 World Food Prize Laureate
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 […]
Final DSSAT Version 4.8 released
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 […]
16th Hybrid DSSAT Development Sprint, January 18-21, 2022
During the week of January 18-21, 2022, the 16th DSSAT Development Sprint was held in a “Hybrid” format due to continuing Covid-19 Pandemic. The DSSAT Development Sprint was hosted by the Food Systems Institute and the Department of Agricultural & Biological Engineering of the University of Florida. In-person participants included six representatives from the University […]
Ghana set to generate CRAFT operational in-season yield forecasts in 2022
Ghana’s first training event on the CCAFS Regional Agricultural Forecasting Tool (CRAFT) was held in its capital city, Accra, during 25-29 October, 2021, to strengthen national capacity for in-season yield forecasting, assessing impacts of climate fluctuations on crop production and projecting such impacts in the future. Organized by the University of Ghana, University of Florida […]
New study predicts two popular American foods surprisingly resilient to climate change
Original by Samantha Murray, October 21, 2021. Sam is a senior public relations specialist at UF/IFAS Communications. She loves learning about and communicating science. Supply chains for French fries and pasta sauce are surprisingly resilient to climate change, according to the predictions of a new study.The study’s authors made their predictions using an innovative modeling […]
iCROPM 2020: Crop Modeling for the Future
This Special Issue of The Journal of Agricultural Science is dedicated to the iCROPM 2020 Symposium. It includes six papers that are based on both oral and poster presentations from the symposium, including the final keynote presentation. Read the Editorial:iCROPM 2020: Crop Modeling for the Futureby, Gerrit Hoogenboom, Eric Justes, Christophe Pradal, Marie Launay, Senthold […]
Adapting Crops For Future Climate Conditions
Texas A&M AgriLife study projects the genetic profile that cultivars will need to adapt Original by Kay Ledbetter, October 13, 2021. Kay Ledbetter is an associate editor/senior writer/media relations specialist for Texas A&M AgriLife. She is responsible for writing news releases and feature articles from science-based information generated by the agency across the state, as […]
UF researchers lead effort to streamline, reuse data to help feed the world
Original by Brad Buck, October 7, 2021. A senior public relations specialist for UF/IFAS Communications, Brad is a huge Gator fan. He grew up in Gainesville, loves movies, sports and finding great stories to tell. Data sets are often easy to find but complicated to use because scientists store and use information differently, and they […]