Article
Optimization of multi-environment trials for genomic selection based on crop models.
TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 Aug 2017
Rincent R, Kuhn E, Monod H, Oury F-X, Rousset M, Allard V, Le Gouis J
Abstract excerpt
KEY MESSAGE: We propose a statistical criterion to optimize multi-environment trials to predict genotype × environment interactions more efficiently, by combining crop growth models and genomic selection models. Genotype × environment interactions (GEI) are common in plant multi-environment trials (METs). In this context, models developed for genomic selection (GS) that refers to the use of genome-wide...
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