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...
| Main Authors: | , , , , , , , |
|---|---|
| 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 |