Genomic Bayesian Prediction Model for Count Data with Genotype × Environment Interaction
Abelardo Montesinos-Lopez, Osval Montesinos-Lopez, Jose Crossa, Juan Burgueno, Kent Eskridge, Esteban Falconi-Castillo, Xingyao He, Pawan Singh, Karen Cichy
The paper introduces a Bayesian mixed negative binomial model for genomic prediction of count data with genotype-environment interaction and demonstrates its effectiveness on simulated and real wheat data.
bioRxiv · Dec 20, 2015Genomics