Dissecting the genetics underlying the relationship between protein content and grain yield in a large hybrid wheat population.

In this study, we used a large population of 1604 hybrids and their 135 parental components to investigate the genetics and metabolomics underlying the negative relationship of grain yield and quality, and evaluated approaches for their joint improvement. We identified a total of nine trait-associated metabolites and show that prediction using genomic data alone resulted in the highest prediction ability for all traits. We dissected the genetic architecture of grain yield and quality-determining traits and show results of the first mapping of the derived trait grain protein deviation. Further, we provide a genetic analysis of the antagonistic relation of grain yield and protein content and dissect the mode of gene action (pleiotropy vs linkage) of identified QTL. Lastly, we demonstrate that the composition of the training set for genomic prediction is crucial when considering different quality classes in wheat breeding. PMID: 30456718 [PubMed - as supplied by publisher]
Source: TAG. Theoretical and Applied Genetics - Category: Genetics & Stem Cells Authors: Tags: Theor Appl Genet Source Type: research