Current Crop Models: State-of-the-art and Future Developments - Couverture rigide

Couverture rigide

ISBN 10 : 1801469725 ISBN 13 : 9781801469722

Editeur : Burleigh Dodds Science Publishing Limited, 2025

Synopsis

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).

A propos du livre

À propos des auteurs

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.

À propos de la quatrième de couverture

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).

Edited by a world-renowned expert, the book will be a standard reference for university and other researchers in crop modelling departments, companies developing decision support systems in agriculture, as well as well as governments and other agencies providing agronomic advice to farmers to support the transition to sustainable agriculture.

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 one of the world's leading experts in crop modelling. He currently coordinates development of the Decision Support System for Agrotechnology Transfer (DSSAT; www.DSSAT.net) which is widely used globally.

Détails de l'édition

• Éditeur: Burleigh Dodds Science Publishing Limited
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 1801469725
• ISBN 13: 9781801469722
• Reliure: Relié
• Nombre de pages: 600
• Éditeur: Hoogenboom Professor Gerrit
• Coordonnées du fabricant: non disponible
• Personne responsable: GPSR Kontakt; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne