Original paper
Training population selection and use of fixed effects to optimize genomic predictions in a historical USA winter wheat panel
Volume: 132, Issue: 4, Pages: 1247 - 1261
Published: Jan 24, 2019
Abstract
The optimization of training populations and the use of diagnostic markers as fixed effects increase the predictive ability of genomic prediction models in a cooperative wheat breeding panel. Plant breeding programs often have access to a large amount of historical data that is highly unbalanced, particularly across years. This study examined approaches to utilize these data sets as training populations to integrate genomic selection into...
Paper Details
Title
Training population selection and use of fixed effects to optimize genomic predictions in a historical USA winter wheat panel
Published Date
Jan 24, 2019
Volume
132
Issue
4
Pages
1247 - 1261