Original paper
Multi-trait Improvement by Predicting Genetic Correlations in Breeding Crosses
Abstract
The many quantitative traits of interest to plant breeders are often genetically correlated, which can complicate progress from selection. Improving multiple traits may be enhanced by identifying parent combinations - an important breeding step - that will deliver more favorable genetic correlations (rG ). Modeling the segregation of genomewide markers with estimated effects may be one method of predicting rG in a cross, but this approach...
Paper Details
Title
Multi-trait Improvement by Predicting Genetic Correlations in Breeding Crosses
Published Date
Oct 1, 2019
Journal
Volume
9
Issue
10
Pages
3153 - 3165
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Notes
History