Genomic Predictive Ability for Foliar Nutritive Traits in Perennial Ryegrass.

ABSTRACT: Forage nutritive value impacts animal nutrition, which underpins livestock productivity, reproduction and health. Genetic improvement for nutritive traits in perennial ryegrass has been limited, as they are typically expensive and time-consuming to measure through conventional methods. Genomic selection is appropriate for such complex and expensive traits, enabling cost-effective prediction of breeding values using genome-wide markers. The aims of the present study were to assess the potential of genomic selection for a range of nutritive traits in a multi-population training set, and to quantify contributions of family, location and family-by-location variance components to trait variation and heritability for nutritive traits. The training set consisted of a total of 517 half-sibling (ha

SUBMITTER: Arojju SK 

PROVIDER: S-EPMC7003077 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature