Genomic Prediction of Genotype × Environment Interaction Kernel Regression Models

In genomic selection (GS), genotype × environment interaction (G × E) can be modeled by a marker × environment interaction (M × E). The G × E may be modeled through a linear kernel or a nonlinear (Gaussian) kernel. In this study, we propose using two nonlinear Gaussian kernels: the reproducing kerne...

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Bibliographic Details
Main Authors: Jaime Cuevas, José Crossa, Víctor Soberanis, Sergio Pérez-Elizalde, Paulino Pérez-Rodríguez, Gustavo de los Campos, O. A. Montesinos-López, Juan Burgueño
Format: Article
Language:English
Published: Wiley 2016-11-01
Series:The Plant Genome
Online Access:https://dl.sciencesocieties.org/publications/tpg/articles/9/3/plantgenome2016.03.0024