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 […]
08
Feb
Young Malian researchers gear up for grand challenges with crop modeling
Budding agricultural researchers are being trained in crop modeling to take on pressing and ever-present challenges of land, climate and food security. In a recent training program at ICRISAT-Mali, eight students learned to model agrosystems with DSSAT software, taking into account smallholder farming constraints. Crop modeling is a process that describes different stages of crop […]
29
Jan
Advancing crop growth models using genotype-specific parameters
Incorporating genotype-specific parameters and realistic trait physiology will advance crop growth models. Plant breeders face an urgent mission: of adapting crops to climate change and feeding an increased world population. Crop models can help breeders select cultivars and cultivar traits for different target environments. For instance, models can be used to evaluate traits (e.g., life […]
15
Jan
14th Virtual DSSAT Development Sprint
The 14th DSSAT Development Sprint was held from January 11-15, 2021 as a Virtual Meeting due to continuing Covid-19 Pandemic. The DSSAT Development Sprint was hosted by the Institute for Sustainable Food Systems and the Department of Agricultural & Biological Engineering of the University of Florida. One of the main goals of the DSSAT Development […]
18
Nov
Crop modeling takeaways from the 2020 CGIAR Convention
This is one of a series of blogs written by our Youth in Data delegates who participated in the 2020 CGIAR Convention on Big Data in Agriculture. The global event was held virtually 19-23 October 2020. Feature photo: Alfonso Cortés / CIMMYT. During my experience as a Youth in Data 2020 delegate at the 2020 CGIAR […]
22
Jun
Scientists from IITA, Wageningen and University of Florida are Optimizing Crop Models for Improved Predictions
The African Cassava Agronomy Initiative (ACAI) project scientists are working on optimizing crop models to improve the prediction of the AKILIMO decision support tools. The team is evaluating the performance of the Light Interception and Utilization (LINTUL) and Decision Support System for Agrotechnology Transfer (DSSAT) to predict the attainable yield of cassava under well managed […]
14
Jan
12th DSSAT Development Sprint at the University of Florida
The 12th DSSAT Development Sprint was held from January 6-10, 2020 at the University of Florida and co-hosted by the Institute for Sustainable Food Systems and the Department of Agricultural & Biological Engineering. One of the main goals of the DSSAT Development Sprint is to improve the science of the Cropping System Model (CSM) and […]
