News & Event
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 […]

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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 […]

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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 […]

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01
Dec

Reuse, don’t lose, process-based models and components

A new system automatically transforms existing process-based crop models into different languages and simulation platforms. This new approach, described in in silico Plants, will improve the reproducibility, exchange and reuse of process-based crop models (PBM). PBM are increasingly implemented as autonomous components describing each biophysical process. According to lead author, Dr. Cyrille Ahmed Midingoyi, researcher […]

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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 […]

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07
Aug

13th Virtual DSSAT Development Sprint

The 13th DSSAT Development Sprint was held from July 20-24, 2020 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 […]

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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 […]

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28
May

Myles Fisher

On May 27, 2020, Dr. Myles Fisher passed away after suffering a stroke. Dr. Myles Fisher was an agronomist who after working for 22 years with the Australian Commonwealth Scientific and Industrial Research Organization (CSIRO), spent most of his career as a scientist associated with the International Center for Tropical Agriculture (CIAT) based in Palmira […]

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10
Apr

New DSSAT Documentation

We recently published a chapter entitled “The DSSAT crop modeling ecosystem” in the book “Advances in Crop Modeling for a Sustainable Agriculture.” This chapter provides a brief history of DSSAT, an overview of its functionality and applications, and up-to-date information on the status of the DSSAT Cropping System Model (CSM) and the DSSAT tools, utilities […]

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10
Apr

DSSAT Source Code Now Fully Open

The DSSAT community is committed to promoting development of all DSSAT models and software tools as open source projects. As of December, 2019, the DSSAT Cropping System Model (CSM) code is fully open and accessible via GitHub under the BSD 3-Clause “New” or “Revised” License. This license is similar to the BSD 2-Clause License, but with […]

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