Accuracy of genomic selection for grain yield and agronomic traits in soft red winter wheat.

ABSTRACT:

Background

Genomic selection has the potential to increase genetic gains by using molecular markers as predictors of breeding values of individuals. This study evaluated the accuracy of predictions for grain yield, heading date, plant height, and yield components in soft red winter wheat under different prediction scenarios. Response to selection for grain yield was also compared across different selection strategies- phenotypic, marker-based, genomic, combination of phenotypic and genomic, and random selections.

Results

Genomic selection was implemented through a ridge regression best linear unbiased prediction model in two scenarios- cross-validations and independent predictions. Accuracy for cross-validations was assessed using a diverse panel under different marker numbe

SUBMITTER: Lozada DN 

PROVIDER: S-EPMC6823964 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature