Predictive ability of genomic selection models in a multi-population perennial ryegrass training set using genotyping-by-sequencing.

ABSTRACT:

Key message

Genomic prediction models for multi-year dry matter yield, via genotyping-by-sequencing in a composite training set, demonstrate potential for genetic gain improvement through within-half sibling family selection. Perennial ryegrass (Lolium perenne L.) is a key source of nutrition for ruminant livestock in temperate environments worldwide. Higher seasonal and annual yield of herbage dry matter (DMY) is a principal breeding objective but the historical realised rate of genetic gain for DMY is modest. Genomic selection was investigated as a tool to enhance the rate of genetic gain. Genotyping-by-sequencing (GBS) was undertaken in a multi-population (MP) training set of five populations, phenotyped as half-sibling (HS) families in five environments over 2 years for mean he

SUBMITTER: Faville MJ 

PROVIDER: S-EPMC5814531 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature