Multi-Trait Multi-Environment Genomic Prediction for End-Use Quality Traits in Winter Wheat.

ABSTRACT: Soft white wheat is a wheat class used in foreign and domestic markets to make various end products requiring specific quality attributes. Due to associated cost, time, and amount of seed needed, phenotyping for the end-use quality trait is delayed until later generations. Previously, we explored the potential of using genomic selection (GS) for selecting superior genotypes earlier in the breeding program. Breeders typically measure multiple traits across various locations, and it opens up the avenue for exploring multi-trait-based GS models. This study's main objective was to explore the potential of using multi-trait GS models for predicting seven different end-use quality traits using cross-validation, independent prediction, and across-location predictions in a wheat breeding program.

SUBMITTER: Sandhu KS 

PROVIDER: S-EPMC8841657 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature