Genomic Prediction of Genotype × Environment Interaction Kernel Regression Models
نویسندگان
چکیده
منابع مشابه
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 kernel Hilbert space with kernel averaging (RKHS KA) and the Gaussian kernel with the bandwidth estima...
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ژورنال
عنوان ژورنال: The Plant Genome
سال: 2016
ISSN: 1940-3372,1940-3372
DOI: 10.3835/plantgenome2016.03.0024