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An R Package for Bayesian analysis of multi-environment and multi-trait multi-environment data for genome-based prediction 

Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Luna-Vazquez, F.J.; Toledo, F.H.; Perez-Rodriguez, P.; Lillemo, M.; Crossa, J. (Genetics Society of America, 2019)
Evidence that genomic selection (GS) is a technology that is revolutionizing plant breeding continues to grow. However, it is very well documented that its success strongly depends on statistical models, which are used by ...
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Bayesian Genomic Prediction with Genotype x Environment Interaction Kernel Models 

Cuevas, J.; Montesinos-López, Osval A.; Burgueño, J.; Pérez-Rodríguez, P.; De los Campos, G. (Genetics Society of America, 2017)
The phenomenon of genotype · environment (G · E) interaction in plant breeding decreases selection accuracy, thereby negatively affecting genetic gains. Several genomic prediction models incorporating G · E have been ...

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Author
Montesinos-Lopez, O.A. (2)Pérez-Rodríguez, P. (2)Burgueño, J. (1)Crossa, J. (1)Cuevas, J. (1)De Los Campos, G. (1)Lillemo, M. (1)Luna Vázquez, F.J. (1)Montesinos-López, A. (1)Toledo, F.H. (1)
Date Issued
2019 (1)2017 (1)
Type
Article (2)
Agrovoc
BAYESIAN THEORY (2)GENOMICS (1)GENOTYPE ENVIRONMENT INTERACTION (1)MULTIVARIATE ANALYSIS (1)... View More
Keywords
GenPred (2)
Multi-Environment (2)
Shared Data Resources (2)Gaussian Kernel (1)Genome Based Prediction and Selection (1)Genomic Prediction (1)Genomic Selection (1)Kernel GBLUP (1)Marker x Environment Interaction (1)Multi-Trait (1)... View More


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