Unknown

Dataset Information

Predicting Hybrid Performances for Quality Traits through Genomic-Assisted Approaches in Central European Wheat.


ABSTRACT: Bread-making quality traits are central targets for wheat breeding. The objectives of our study were to (1) examine the presence of major effect QTLs for quality traits in a Central European elite wheat population, (2) explore the optimal strategy for predicting the hybrid performance for wheat quality traits, and (3) investigate the effects of marker density and the composition and size of the training population on the accuracy of prediction of hybrid performance. In total 135 inbred lines of Central European bread wheat (Triticum aestivum L.) and 1,604 hybrids derived from them were evaluated for seven quality traits in up to six environments. The 135 parental lines were genotyped using a 90k single-nucleotide polymorphism array. Genome-wide association mapping initially suggested prese

SUBMITTER: Liu G 

PROVIDER: S-EPMC4934823 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature