The DSSAT crop modeling ecosystem

Code: 9781786765185
Publication date: 02/12/2019
Extent: 44 pages

Contributions by: Gerrit Hoogenboom, Cheryl H. Porter, Kenneth J. Boote and Vakhtang Shelia, University of Florida, USA; Paul W. Wilkens and Upendra Singh, International Fertilizer Development Center, USA; Jeffrey W. White, USDA-ARS, USA; Senthold Asseng, University of Florida, USA; Jon I. Lizaso, Universidad Politécnica de Madrid, Spain; L. Patricia Moreno, University of Florida, USA; Willingthon Pavan, Universidade de Passo Fundo, Brazil; Richard Ogoshi, University of Hawaii, USA; L. Anthony Hunt, University of Guelph, Canada; Gordon Y. Tsuji, University of Hawaii, USA; and James W. Jones, University of Florida, USA

Chapter synopsis: This chapter describes the DSSAT Crop Modeling ecosystem, its history, creation of multiple crop models, and tools for data preparation, analysis and applications. The chapter provides an overview of the structure and science of the crop simulation models that are included in DSSAT, as well as the tools and utilities for weather, soil, experimental and observational data entry, and crop model calibration and evaluation. It also reviews the range of applications.


DOI: 10.19103/AS.2019.0061.10

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 DSSAT ecosystem
  • 3 Minimum Data Set (MDS) for crop modeling
  • 4 Input data tools
  • 5 The Cropping System Model (CSM)
  • 6 Water balance processes
  • 7 Nitrogen (N) balance processes
  • 8 Inorganic soil phosphorus (P) processes
  • 9 Modeling genetics in DSSAT
  • 10 Model analysis utilities for performance evaluation
  • 11 Application programs
  • 12 Example applications
  • 13 Developing a global modeling network
  • 14 The future of DSSAT
  • 15 Summary
  • 16 Acknowledgements
  • 17 References

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