Current Crop Models: State-Of-The-Art and Future Developments(170 Burleigh Dodds Series in Agricultural Science)

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 the Decision Support System for Agrotechnology Transfer (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 Publishing: Advances in crop modelling for a more sustainable agriculture (2019).

Part 1 North America

• 1.The Decision Support System for Agrotechnology Transfer (DSSAT) crop modeling ecosystem: evolution and advances: 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;
• 2.The Crop, Land, and Soil Simulation (CLASSIM) group of models: D.H. Fleisher, D.J. Timlin, S. Li, J. Barnaby, S. Yesilkoy, E. Han and V.R. Reddy, USDA-ARS, USA; Z. Wang, University of Maryland, USA; S. Beegum, A. Mitra, University of Nebraska-Lincoln, USA; and W. Sun, Colorado State University, USA;
• 3.The Cycles Agroecosystem Model: Armen R. Kemanian, Yuning Shi, Charlie M. White, Felipe Montes, Rachel K. N. Rozum, Amanda R. Burton and Ele Saltmarsh, The Pennsylvania State University, USA; and Claudio O. Stockle, Washington State University, USA;
• 4.Crop modeling with simple simulation models (SSM): Afshin Soltani, Gorgan University of Agricultural Sciences and Natural Resources, Iran; and Thomas R. Sinclair, North Carolina State University, USA;
• 5.The Systems Approach to Land Use Sustainability (SALUS) model: B. Basso, T. Tadiello, P. Sharma, L. Price and J.T. Ritchie, Michigan State University, USA;
• 6.The denitrification-decomposition (DNDC) model: Kyle W. Proctor, Nilovna Chatterjee, Curtis Jones, Colin Hill, Gayathri Gopalakrishnan and William Salas, Regrow Ag, USA;
• 7.The Agricultural Land Management Alternative with Numerical Assessment Criteria (ALMANAC) model: James R. Kiniry , USDA-ARS, USA;
• 8.The USDA Root Zone Water Quality Model: Huihui Zhang, Liwang Ma and Jon D. Hanson, USDA-ARS, USA; and Zhiming Qi, McGill University, Canada;

Part 2 Europe

• 9.The STICS soil-crop model: a generic model to simulate the functioning of agroecosystems: Benjamin Dumont and Mathieu Delandmeter, University of Liège, Belgium; Marie-Odile Bancal, Université Paris-Saclay, INRAE, AgroParisTech, UMR EcoSys, France; Nicolas Beaudoin and Joël Léonard, INRAE, UMR Transfrontalière BioEcoAgro, France; Samuel Buis, INRAE, Avignon Université, UMR EMMAH, France; Julie Caubel, EcoClimaSol, France and INRAE, US Agroclim, France; Hugues Clivot, Université de Reims Champagne-Ardenne, INRAE, FARE, UMR A 614, France; Julie Constantin, Université de Toulouse, INRAE, UMR AGIR, France; Antoine Couëdel and Mathilde de Freitas, CIRAD, University of Montpellier, UPR AIDA, France; Audrey Deheinzelin, INRAE, US Agroclim, France; Gatien N. Falconnier, CIRAD, University of Montpellier, UPR AIDA, France, CIRAD, UPR AIDA, International Maize and Wheat Improvement Centre (CIMMYT) and University of Zimbabwe, Zimbabwe; Fabien Ferchaud, UMR Eco&Sols, University of Montpellier, CIRAD, INRAE, IRD, Institut Agro Montpellier, France; Iñaki García de Cortázar- Atauri, Marie Launay, Patrice Lecharpentier and Dominique Ripoche, INRAE, US Agroclim, France; Anne-Isabelle Graux, Agrocampus Ouest, INRAE, UMR PEGASE, France; Guillaume Jego, Agriculture and Agri-Food Canada, Canada; Arthur Lenoir, University of Liège, Belgium; Gaetan Louarn, INRAE UR P3F, France; Alain Mollier, INRAE, Bordeaux Sciences Agro, UMR1391 ISPA, France; Céline Schoving, Université de Toulouse, INRAE, UMR AGIR, France; Mounir Seghouani, INRAE, Bordeaux Sciences Agro, UMR1391 ISPA, France and CIRAD, University of Montpellier, UPR Recyclage et Risque, France; Loïc Strullu, Strullu Company, France; Remi Vezy, CIRAD, University of Montpellier, CNRS, INRAE, IRD, UMR AMAP, France; Tiphaine Vidal, Université Paris-Saclay, INRAE, UR BIOGER, France; Eric Justes, CIRAD, France; and Jean-Louis Durand, INRAE UR P3F, France;
• 10.The Simulator of crop trait Assembly, MAnagement Response and Adaptation crop model: Myriam Adam, UMR AGAP Institut and Université de Montpellier, Institut Agro, France and University of Battambang, Cambodia; Gregory Beurier, Lauriane Rouan and Michael Dingkuhn, CIRAD, UMR AGAP Institut, Université de Montpellier, CIRAD, INRAE, Institut Agro, France; Florian Larue, Université de Montpellier, France; and Bertrand Muller, CIRAD, UMR AGAP Institut, Université de Montpellier, Institut Agro, France and CIRAD, Madagascar;
• 11.The Genotype-by-Environment interaction on CROp growth Simulator model: Xinyou Yin, Wageningen University & Research, The Netherlands;
• 12.The WOFOST (WOrld FOod STudies) cropping system model: Allard de Wit, Hendrik Boogaard, Herman Berghuijs and Martin K. van Ittersum, Wageningen University, The Netherlands;
• 13.The Light INTerception and UtiLisation family of crop models: A.G.T. Schut, H.N.C. Berghuijs, A.J.W. de Wit and M.K van Ittersum, Wageningen University and Research, The Netherlands;*
• 14.SWAPWOFOST: a combined ecohydrological and crop growth simulation model: I. Supit, P. Groenendijk, J. van Dam, M. Mulder and M. Heinen, Wageningen University and Research, The Netherlands;
• 15.The SIMPLACE crop and ecosystem management modelling platform: M. Vianna, A. Enders, T. Gaiser, G. Krauss and T. H. Nguyen, University of Bonn, Germany; S. J. Seidel, University of Natural Resources and Life Sciences, Austria; E. E. Rezaei and H. Webber, Leibniz Centre for Agricultural Landscape Research, Germany; A. Tewes, University of Bonn and xarvioTM BASF Digital Farming GmbH, Germany; A. K. Srivastava and F. Ewert, University of Bonn and Leibniz Centre for Agricultural Landscape Research, Germany;
• 16.The MONICA agroecosystem model: Claas Nendel, Michael Berg-Mohnicke, Rachel Escueta, Gohar Ghazaryan, Leonardo Inforsato, Bahareh Kamali, Marlene Palka, Ahsan Raza, Ehsan Eyshi Rezaei, Xenia Specka and Jing Yu, Leibniz Centre for Agricultural Landscape Research (ZALF), Germany;
• 17.The AquaCrop model: Dirk Raes, KU Leuven University, Belgium; Elias Fereres, IASCSIC and University of Cordoba, Spain; Theodore C. Hsiao and Pasquale Steduto, University of California, USA; Gabriëlle De Lannoy, KU Leuven University, Belgium; Eline Vanuytrecht, European Environment Agency, Denmark; Lee Heng, International Atomic Energy Agency, Austria; Margarita Garcia Vila, IAS-CSIC, Spain; Joost Wellens, Université de Liège, Belgium; Patricia Mejias Moreno and Maher Salman, Food and Agriculture Organization of the United Nations, Italy;
• 18.The Daisy crop model: Kiril Manevski, Aarhus University, Denmark and Chinese Academy of Sciences and University of the Chinese Academy of Sciences, China; Shaohui Zhang, Aarhus University, Denmark and Northwest A&F University, China; Yanmin Yang, Chinese Academy of Sciences, China; Yonghui Yang, University of the Chinese Academy of Sciences and Chinese Academy of Sciences, China; and Mohamed Jabloun, The James Hutton Institute, UK;

Part 3 Asia and the Pacific

• 19.InfoCrop: a process-based dynamic crop simulation model for analysing genotype x environment interactions in tropical crops: S. Naresh Kumar, Bidisha Chakraborty, Arti Bhatia, Shweta Panjwani, DN Swaroopa Rani and Vikas Kumar, ICAR – Indian Agricultural Research Institute, India; P.K. Aggarwal and H. Pathak, South Asia Climate Adaptation of Agriculture Programme – CIMMYT, India; Subhash Chander and N. Kalra, ICAR – National Centre for Integrated Pest Management, India;
• 20.The CropGrow model: Yan Zhu, Leilei Liu, Bing Liu, Liang Tang and Liujun Xiao, Nanjing Agricultural University, China;

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.