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The Decision Support System for Agrotechnology Transfer (DSSAT) crop modeling ecosystem: evolution and advances

Code: 9781835453353
Publication date: 08/08/2025
Extent: 61 pages

Contributions by: Kenneth J. Boote, Gerrit Hoogenboom, Cheryl H. Porter, Willingthon Pavan and Vakhtang Shelia, University of Florida, USA; Upendra Singh, International Fertilizer Development Center, USA; Jeffrey W. White, USDA-ARS, USA; Senthold Asseng, Technische Universität München, Germany; Jon I. Lizaso, Universidad Politécnica de Madrid, Spain; L. Patricia Moreno, CIAT, Kenya; Santiago Cuadra, EMBRAPA, Brazil; Bruce Kimball, USDA-ARS, USA; Alwin Hopf, Fabio A. A. Oliveira, Thiago B. Ferreira and Henrique Boriolo Dias, University of Florida, USA; Phillip Alderman, Oklahoma State University, USA; William D. Batchelor, Auburn University, USA; Diego Pequeno, CIMMYT, Mexico; Kelly R. Thorp, USDA-ARS, USA; James W. Jones, University of Florida, USA; Richard Ogoshi, University of Hawaii, USA; L. Anthony Hunt, University of Guelph, Canada; and Gordon Y. Tsuji, University of Hawaii, USA

Chapter synopsis:

This chapter describes the Decision Support System for Agrotechnology Transfer (DSSAT) Crop Modeling ecosystem, its origin, advancements in model capabilities, addition of models for new crops, examples of model simulations of genetic improvement, and tools for data entry, calibration, analysis, and applications. Examples of model applications are given with emphasis on genetic improvement especially under the impacts of climate change.



DOI: 10.19103/AS.2025.0155.01

Open Access

This is an open access chapter distributed under the terms of the Creative Commons Attribution 4.0 License (CC BY).

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Table of contents
  • 1 Introduction
  • 2 The origins of the Decision Support System forAgrotechnology Transfer (DSSAT)
  • 3 Advances in model development in the 1990s
  • 4 The creation of the Cropping Systems Model (CSM)
  • 5 Adapting the CROPGRO crop growth model tosimulate additional new grain crops
  • 6 Adaptation of CROPGRO for vegetables,multi-harvest, and fresh weight production
  • 7 The CROPGRO Perennial Forage Model(CROPGRO-PFM)
  • 8 Adding CERES-style and non-CROPGRO models fornew crops
  • 9 Modeling genetics in DSSAT-CSM
  • 10 Major processes modeled in DSSAT-CSM: waterbalance processes
  • 11 Major processes modeled in DSSAT-CSM: nitrogen(N) balance processes
  • 12 Major processes modeled in DSSAT-CSM: inorganicsoil phosphorus (P) processes
  • 13 Using DSSAT-CSM to evaluate genetic improvementand adaptation to climate change
  • 14 The DSSAT user interface
  • 15 Methods for estimating genotype-specificparameters
  • 16 Model visualization tools: GBuild
  • 17 Application programs
  • 18 DSSAT-CSM software development, distribution,and training
  • 19 Future trends and conclusion
  • 20 Acknowledgments
  • 21 Where to look for further information
  • 22 References

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