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Predicting Genotype × Environment × Management (G × E × M) Interactions for the Design of Crop Improvement Strategies: Integrating Breeder, Agronomist, and Farmer Perspectives by Mark Cooper; Carlos D. Messina; Tom Tang; Carla Gho; Owen M. Powell; Dean W. Podlich; Frank Technow; Graeme L. Hammer is a book available to read on EtoBox.

What is Predicting Genotype × Environment × Management (G × E × M) Interactions for the Design of Crop Improvement Strategies: Integrating Breeder, Agronomist, and Farmer Perspectives about?

Genotype-by-environment-by-management (G × E × M) interactions for crop productivity represent both challenges and opportunities for long-term crop improvement. They need to be understood and harnessed to accelerate crop improvement to improve our chances of achieving the targets for sustainable agriculture and global food security that are required to enable sustainable development (https://sdgs.un.org/goals). Experimental efforts have emerged to quantify their importance, study their genetic and ecophysiological bases, and support efforts to exploit nascent opportunities. The large and complex G × E × M factorial limits the scope and feasibility for purely experimental approaches at all stages of crop improvement programs. However, iterative experimental modeling approaches, combined with advances in genomics, enviromics, phenomics, simulation, and prediction methodologies, offer a range of opportunities, covering both genomic prediction for breeding and agronomic prediction for enhancing the realization of on-farm productivity targets and managing risk. There has been limited coordination of breeding and agronomic prediction efforts to date. We consider the different perspective

Author

Mark Cooper; Carlos D. Messina; Tom Tang; Carla Gho; Owen M. Powell; Dean W. Podlich; Frank Technow; Graeme L. Hammer

Publisher

Wiley & Sons, Limited, John; Wiley

Published

2022

Language

EN

ISBN

9781119874133

Subjects

Science, Stem