Genomic prediction for yield and malting traits in barley using metabolomic and near-infrared spectra.

ABSTRACT:

Key message

Genetic variation for malting quality as well as metabolomic and near-infrared features was identified. However, metabolomic and near-infrared features as additional omics-information did not improve accuracy of predicted breeding values. Significant attention has recently been given to the potential benefits of metabolomics and near-infrared spectroscopy technologies for enhancing genetic evaluation in breeding programs. In this article, we used a commercial barley breeding population phenotyped for grain yield, grain protein content, and five malting quality traits: extract yield, wort viscosity, wort color, filtering speed, and β-glucan, and aimed to: (i) investigate genetic variation and heritability of metabolomic intensities and near-infrared wavelengths originati

SUBMITTER: Raffo MA 

PROVIDER: S-EPMC11717810 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature