DSSAT v4.8

Latest Version: 4.8 (April 2022) | Free of charge!

DSSAT v4.8 is now available:

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DSSAT 2022

May 16-21, 2022. University of Georgia, Griffin.

2022 World Food Prize Laureate

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 in more than 90 countries to both mitigate and adapt to climate change in local, national and global food systems.

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DSSAT 2022 Ethiopian Workshop

Decision Support Modeling Tools for Ethiopia (DSMT-E),

Bill and Melinda Gates Foundation, ILRI Sholla Campus, Addis Ababa, Ethopia, March 14-18, 2022

16th DSSAT Development Sprint

Hybrid Meeting, University of Florida | January 18-21, 2022

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

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CRAFT operational in-season yield forecasts in 2022

University of Ghana, Accra, Ghana
October 25 29, 2022

24th Annual Open Forum on Crop Modeling and Decision Support Systems

If you are attending the ASA-CSSA 2021 International Annual Meeting Salt Lake City, Utah, come and join us at the DSSAT Foundation Open Forum, where we will exchange what’s new on the crop modeling research, collaboration opportunities, and related data and tools development activities.

  • Day, Date: November 8, 2021
  • Start Time: 7:30pm
  • End Time: 9:00 pm
  • Location: Room 151 DEF of the Salt Palace Convention Center

DSSAT 2021 European Training Course

Technical University of Munich, Freising, Germany
August 30 – September 4, 2021

15th DSSAT Development Sprint

Hybrid Meeting, IFDC | July 26-30, 2021

DSSAT 2021

May 17-22, 2021. University of Georgia, Griffin.

14th DSSAT Development Sprint

Virtual Meeting | January 11-15, 2021

The DSSAT crop modeling ecosystem

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.

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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.

Read More… Watch the informative video Buy the bookDownload brochure

Cross-continental disease and crop modeling collaborations to beat back wheat blast

Cross-continental collaborations facilitated by the CGIAR Platform for Big Data in Agriculture thrive to beat back the threat of wheat blast in Brazil and Bangladesh.

Wheat blast disease is a major threat to smallholder farmers. The disease was first discovered in Brazil in 1985. Decades later it escaped from South America when it crept its way across the ocean and appeared in Bangladesh in 2016. Wheat blast outbreaks are linked to the right climate conditions. More accurate weather forecasts, coupled with disease models are key for farmers to adapt to the threat of the disease. Effective forecasting and warning systems can also help farmers avoid unnecessary fungicide use, thereby saving them money and reducing environmental risks.

Because the disease is new, knowledge of wheat blast epidemiology and modeling was limited in Bangladesh. That’s why scientists at the International Maize and Wheat Improvement Center (CIMMYT) reached out to Professor Jose Mauricio Fernandes, a Crop Pathologist, and Mr. Felipe de Vargas, a Computer Scientist, within the Universidade de Passo Fundo (UPF) in Brazil… Read more…

CRAFT: A New Spatial Yield Forecasting Tool

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.

Read More about CRAFT Download CRAFT v3.4

ICASA Data Standards Version 2.0

icasa_v2_paper

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.

Access at ScienceDirect
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What is DSSAT?

Decision Support System for Agrotechnology Transfer (DSSAT) is software application program that comprises dynamic crop growth simulation models for over 42 crops. DSSAT is supported by a range of utilities and apps for weather, soil, genetic, crop management, and observational experimental data, and includes example data sets for all crop models. The crop simulation models simulate growth, development and yield as a function of the soil-plant-atmosphere dynamics. DSSAT has been applied to address many real-world problems and issues ranging from genetic modeling to on-farm and precision management to regional assessments of the impact of climate variability and climate change. DSSAT has been used for more than 30 years by researchers, educators, consultants, extension agents, growers, private industry, policy and decision makers, and many others in over 174 countries worldwide.  Learn more…

18
May

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 […]

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14
May

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 […]

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04
Apr

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 […]

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01
Apr

How do you run DSSAT on Linux/Mac OS?

Unfortunately, for Linux/Mac users, there is no installation for these platforms yet. Most of the tools we use in DSSAT were developed for Windows platform. In this case, you need to install a Virtual Machine in order to run Windows platform. Step 1: To get started with the installation you need to install the VirtualBox. […]

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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 […]

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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 […]

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03
Dec

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 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 and […]

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