Metabolomic-genomic prediction can improve prediction accuracy of breeding values for malting quality traits in barley.

ABSTRACT:

Background

Metabolomics measures an intermediate stage between genotype and phenotype, and may therefore be useful for breeding. Our objectives were to investigate genetic parameters and accuracies of predicted breeding values for malting quality (MQ) traits when integrating both genomic and metabolomic information. In total, 2430 plots of 562 malting spring barley lines from three years and two locations were included. Five MQ traits were measured in wort produced from each plot. Metabolomic features used were 24,018 nuclear magnetic resonance intensities measured on each wort sample. Methods for statistical analyses were genomic best linear unbiased prediction (GBLUP) and metabolomic-genomic best linear unbiased prediction (MGBLUP). Accuracies of predicted breeding values were co

SUBMITTER: Guo X 

PROVIDER: S-EPMC10478459 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature