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 […]
18
Mar
DSSAT 2022 Training Course at ILRI Sholla Campus, Addis Ababa, Ethiopia
Participants of the DSSAT 2022 Training Course held from March 14-18, 2022 at the ILRI Sholla Campus under the auspices of the Decision Support Modeling Tools for Ethiopia The Community of Practice of the Decision Support Modeling Tools for Ethiopia (DSMT-E) brings together users and developers of a wide range of simulation models. The DSSAT […]
21
Jan
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 […]
25
Oct
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 […]
08
Sep
Agricultural Research Data Network Increases Access to Historical Crop Data
Original by Susan McCarthy, National Agricultural Library, Ming Chan, National Agricultural Library, and Cheryl Porter, University of Florida in Research and Science Sep 08, 2021. Crop researchers are hungry for data to feed their crop models. There is a wealth of historical data that’s inaccessible because today’s crop model software applications cannot easily interpret it. USDA’s […]
03
Sep
IFDC Hosts 15th Crop Modelling Development Sprint
Original by IFDC Staff | August 9, 2021 From July 26 to July 30, 2021, IFDC hosted the 15th Decision Support System for Agrotechnology Transfer (DSSAT) Development Sprint. The development sprint had three goals: improve DSSAT and its associated tools and databases; provide a forum for communications and information exchange among developers, users, and others interested in modeling and […]
17
Aug
15th Hybrid DSSAT Development Sprint, July 26-30, 2021
During the last week of July the first “Hybrid” DSSAT Development Sprint was held, hosted by Dr. Upendra Singh and Dr. Willingthon Pavan at the International Fertilizer Development Center in Muscle Shoals, Alabama. In-person participants included five representatives from the University of Florida and three representatives from IFDC, while there were around 18 on-line participants […]
13
Jun
Computer software helps solve what-if questions in agriculture
Original by Ashley N Biles for CAES News Anyone familiar with agriculture knows that a successful harvest largely relies on environmental factors. An especially hot summer with no rain in sight or poor soil quality can cause as many problems as a late cold snap right in the middle of planting season. Often farmers must rely on trial […]
21
May
DSSAT 2021 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, 2021 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 […]
16
Feb
Transforming crop simulation models into gene-based models
Dynamic crop simulation models can be transformed into gene-based models by replacing an existing process module with a gene-based module for simulating the same process. Dynamic crop simulation models are tools that predict the phenotype (i.e. observable characteristics) of plants grown in specific environments. In these models, genotypic differences among cultivars are represented by empirical […]
