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The role of crop growth models in crop improvement: integrating phenomics, envirotyping and genomic prediction

Code: 9781801465311
Jana Kholová, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), India; Amir Hajjarpoor, UMR DIADE, Université de Montpellier, Institut de Recherche pour le Développement (IRD), France; Vincent Garin, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Mali; William Nelson, Gottingen University, Germany; Madina Diacoumba, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Mali; Carlos D. Messina, Pioneer Hi-Bred International, USA; Graeme L. Hammer, Queensland Alliance for Agriculture and Food Innovation - The University of Queensland, Australia; Yunbi Xu, Chinese Academy of Agricultural Sciences, China and International Maize and Wheat Improvement Center (CIMMYT), Mexico; Milan O. Urban, International Center for Tropical Agriculture (CIAT), Colombia; and Jan Jarolímek, Czech University of Life Sciences (CZU), Czech Republic

Chapter synopsis: The chapter highlights the interplay of high throughput phenotyping with crop growth models (CGMs). The chapter shows how crop models can be used to explore knowledge of phenotype, environment and genotype to better understand and predict their complex interrelationships. It describes how CGMs have been used in envirotyping and in setting targets for phenotyping programs. It also describes current limitations in modelling, how these are being addressed as well as emerging trends.

DOI: 10.19103/AS.2022.0102.13
Table of contents 1 Introduction 2 Crop growth models to understand gene × environment × management interactions 3 The role of crop simulation modelling in envirotyping 4 The role of crop models in defining phenotyping methods and targets 5 Crop models of the future: how can they gain from the current developments in phenotyping? 6 Integrating statistical genetic models and crop growth models (SGM–CGM) 7 Where to look for further information 8 References

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