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Advances in Crop Modelling For a Sustainable Agriculture

  • ID: 4897082
  • Book
  • December 2019
  • 542 pages
  • Burleigh Dodds Science Publishing
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. With its distinguished editor and range of experienced and expert chapter authors, this collection will be a standard reference for crop modellers and developers of decision support systems to improve the efficiency and sustainability of farming.
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Part 1 Modelling sub-systems
1. Advances and improvements in modeling plant processes: Soo-Hyung Kim and Jennifer Hsiao, University of Washington, USA; and Hannah Kinmonth-Schultz, University of Kansas, USA
2. Functional–structural plant modeling of plants and crops: Jochem B. Evers and Leo F. M. Marcelis, Wageningen University, The Netherlands
3. Improving modeling of nutrient cycles in crop cultivation: Upendra Singh and Cheryl Porter, International Fertilizer Development Center (IFDC) and University of Florida, USA
4. Improving modelling of water cycles in crop cultivation: Claudio O. Stöckle, Washington State University, USA; and Francisco Meza, Pontificia Universidad Católica de Chile, Chile
5. Improving crop pest/disease modeling: J. M. Fernandes, Embrapa/Universidade de Passo Fundo, Brazil; W. Pavan, Universidade de Passo Fundo, Brazil; D. Pequeno, International Maize and Wheat Improvement Center (CIMMYT), Mexico; R. Wiest, Instituto Federal Sul-Rio-grandense (IFSUL), Brazil; C. A. Holbig and F. Oliveira, Universidade de Passo Fundo, Brazil; and G. Hoogenboom, University of Florida-Gainesville, USA

Part 2 Developing whole farm system, landscape and regional models
6. Whole-farm system models in practice: diverse applications: Alison M. Laing, Cam K. McDonald, Andrew J. Ash and Diane B. Prestwidge, CSIRO Agriculture and Food, Australia; and Holger Meinke, University of Tasmania, Australia
7. The DSSAT crop modeling ecosystem: 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
8. Modeling crop rotations: capturing short- and long-term feedbacks for sustainability and soil health: B. Basso and R. A. Martinez-Feria, Michigan State University, USA; and B. Dumont, University of Liege, Belgium
9. Integrating livestock production into whole-farm system models of mixed crop–livestock systems: Katrien Descheemaeker, Wageningen University and Research, The Netherlands; and Lindsay Bell, CSIRO Agriculture Flagship, Australia
10. Integrating economic simulation models with whole-farm system models for ex ante technology impact assessment: John M. Antle, Oregon State University, USA
11. Developing climate-based decision support systems from agricultural systems models: Clyde W. Fraisse, University of Florida-Gainesville, USA; Norman E. Breuer, Catholic University Nuestra Señora de la Asunción, Paraguay; and Victor Cabrera, University of Wisconsin-Madison, USA
12. Landscape models to support sustainable intensification of agroecological systems: C. Nendel and P. Zander, Leibniz Centre for Agricultural Landscape Research (ZALF), Germany
Agroecosystem models for delivering ecosystem services: Jerry L. Hatfield, Christian Dold, Erica J. Kistner-Thomas and Kenneth M. Wacha, USDA-ARS, USA

Part 3 Modelling issues
Data for developing, testing, and applying crop and farm models: Frits K. van Evert, Wageningen University & Research, Agrosystems Research, The Netherlands
15. Dealing with uncertainty in crop models: Daniel Wallach, INRA, France
16. Crop simulation model inter-comparison and improvement: Senthold Asseng, University of Florida, USA; Pierre Martre, INRA, France; and Frank Ewert, University of Bonn and Leibniz Centre for Agricultural Landscape Research (ZALF), Germany
17. The future of crop modeling for sustainable agriculture: K. J. Boote, University of Florida, USA;
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