Current crop models: State-of-the-art and future developments

Whilst crop models have made significant progress in recent years, different models still diverge and struggle to predict the complex effects of genetic, environmental and management (G x E x M) variables in optimising crop production in the face of climate change.

Current crop models: State-of-the-art and future developments provides a comprehensive overview of the major crop models and the ways they address these challenges. The book explores the development of major crop models such as DSSAT, how variables such as crop variety and genetic differences are being addressed, recent model improvements and future model enhancements, as well as examples of current applications to improve crop production.

The book builds on a successful earlier volume published by Burleigh Dodds Science: Advances in crop modelling for a more sustainable agriculture (2019).

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Current crop models: State-of-the-art and future developments

Whilst crop models have made significant progress in recent years, different models still diverge and struggle to predict the complex effects of genetic, environmental and management (G x E x M) variables in optimising crop production in the face of climate change.

Current crop models: State-of-the-art and future developments provides a comprehensive overview of the major crop models and the ways they address these challenges. The book explores the development of major crop models such as DSSAT, how variables such as crop variety and genetic differences are being addressed, recent model improvements and future model enhancements, as well as examples of current applications to improve crop production.

The book builds on a successful earlier volume published by Burleigh Dodds Science: Advances in crop modelling for a more sustainable agriculture (2019).

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Overview

Whilst crop models have made significant progress in recent years, different models still diverge and struggle to predict the complex effects of genetic, environmental and management (G x E x M) variables in optimising crop production in the face of climate change.

Current crop models: State-of-the-art and future developments provides a comprehensive overview of the major crop models and the ways they address these challenges. The book explores the development of major crop models such as DSSAT, how variables such as crop variety and genetic differences are being addressed, recent model improvements and future model enhancements, as well as examples of current applications to improve crop production.

The book builds on a successful earlier volume published by Burleigh Dodds Science: Advances in crop modelling for a more sustainable agriculture (2019).


Product Details

ISBN-13: 9781801469739
Publisher: Burleigh Dodds Science Publishing
Publication date: 11/25/2025
Series: Burleigh Dodds Series in Agricultural Science , #170
Sold by: Barnes & Noble
Format: eBook
Pages: 600

About the Author

Dr Gerrit Hoogenboom is Professor and Preeminent Scholar in the Department of Agricultural and Biological Engineering at the University of Florida, USA. With over 30 years’ experience and over 500 peer-reviewed publications, he is acknowledged as a global expert in crop modelling. He currently coordinates development of the Decision Support System for Agrotechnology Transfer (DSSAT), one of the leading crop modelling systems. Professor Hoogenboom also co-authored the chapter on DSSAT in Burleigh Dodds Science’s successful 2019 title: Advances in crop modelling for a sustainable agriculture (ed. Ken Boote). Professor Hoogenboom is the Editor-in-Chief of The Journal of Agricultural Science.


Dr Kenneth Boote is Emeritus Professor in the Department of Agronomy at the University of Florida, USA. He is widely regarded as a pioneer in crop modelling, helping to develop the DSSAT software application program that simulates growth for over 40 different crops. He is presently serving as Co-Lead for Crop Modeling in AgMIP, the global Agricultural Model Intercomparison and Improvement Project. Amongst his many distinctions, Professor Boote is a Fellow of the American Association for the Advancement of Science, the Crop Science Society of America and the American Society of Agronomy.
Dr. Bruno Basso is an agro-ecosystem scientist and University Foundation Professor in Department of Earth and Environmental Sciences and W.K. Kellogg Biological Station at Michigan State University. He is a Fellow of the Soil Science Society of America and the American Society of Agronomy, and 2016 recipient of the Innovation of the year award and 2019 Outstanding Faculty Award at Michigan State University and the recipient of the 2021 Morgan Stanley Sustainable Solutions Prize. He is ranked as top 2% scientist across all disciplines and 0.006% in the field of Agronomy, Agriculture, Meteorology. He received his Ph.D. from Michigan State University.
Dr Antonius G.T. Schut is an associate professor at the Plant Production Systems group of Wageningen University in the Netherlands and President Elect for the European Society of Agronomy. Tom’s research focuses on the optimization of agricultural systems to reduce external inputs, improve nutrient use efficiency and minimize environmental impacts.

Dr Claas Nendel heads the Research Group on Landscape Modelling at the Leibniz Centre for Agricultural Landscape Research (ZALF), Germany. He is also Professor of Landscape Systems Analysis at the University of Potsdam. Dr Nendel is the Past President of the European Society of Agronomy and hosted, among other events, the first International Crop Modelling Symposium in Berlin in 2016. He is principal developer of the MONICA model which simulates biophysical processes in agroecosystems to allow assessment of regional impacts of climate change, and is internationally known for his contribution to agroecosystem modelling.


Professor Soora Naresh Kumar is Principal Scientist at the Centre for Environment Science and Climate Resilient Agriculture (now Division of Environment Science), ICAR-Indian Agricultural Research Institute, New Delhi, India with over 25 years of research experience. He is leading the InfoCrop (a process based dynamic simulation model) modelling group and is involved in AgMIP since its inception in 2011 as a member of AgMIP-wheat, rice, maize and potato pilot groups. He has published over 120 research papers in high impact journals and is recognized at the Global and National level.

Table of Contents

Part 1 North America

  • 1.The DSSAT crop model ecosystem: Ken Boote, Univeristy of Florida, USA;
  • 2.The USDA-SIM crop model: David Fleisher, USDA-ARS, USA;
  • 3.The Cycles crop model: Armen Kemanian, Penn State University, USA;
  • 4.The SSM-Crop model: Tom Sinclair, North Carolina State University, USA;
  • 5.The SALUS crop model: Bruno Basso, Michigan State University, USA;
  • 6.The DNDC crop model: Bill Salas, Regrow Ag, USA;
  • 7.The ALMANAC crop model: Jim Kiniry, USDA-ARS, USA;
  • 8.The USDA Root Zone Water Quality Model (RZWQM): Liwang Ma, USDA-ARS, USA;

Part 2 Europe

  • 9.The STICS crop model: Benjamin Dumont, University of Liege, Belgium;
  • 10.The SARRA-H/SAMARA crop model: Myriam Adam, CIRAD, France;
  • 11.The GECROS crop model: Xinyou Yin, Wageningen University, The Netherlands;
  • 12.The WOFOST crop model: Allard de Wit, Wageningen University, The Netherlands;
  • 13.The LINTUL crop model: Tom Schut, Wageningen University, The Netherlands;
  • 14.The SWAP crop model: Iwan Supit, Wageningen University, The Netherlands;
  • 15.The SIMPLACE crop and ecosystem management model: Frank Ewert, University of Bonn, Germany;
  • 16.The MONICA and HERMES crop models: Claas Nendel, Leibniz Centre for Agricultural Landscape Research, Germany;
  • 17.The AquaCrop model: Dirk Raes, Katholieke Universiteit Leuven, Belgium;
  • 18.The Daisy crop model: Kiril Manevski, Aarhus University, Denmark;

Part 3 Asia and the Pacific

  • 19.The InfoCrop model: Soora Naresh Kumar, Indian Agricultural Research Institute, India;
  • 20.The CropGrow model: Yan Zhu, Nanjiang Agricultural University, China;
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