Implementation of Genomic Prediction in Lolium perenne (L.) Breeding Populations.

ABSTRACT: Perennial ryegrass (Lolium perenne L.) is one of the most widely grown forage grasses in temperate agriculture. In order to maintain and increase its usage as forage in livestock agriculture, there is a continued need for improvement in biomass yield, quality, disease resistance, and seed yield. Genetic gain for traits such as biomass yield has been relatively modest. This has been attributed to its long breeding cycle, and the necessity to use population based breeding methods. Thanks to recent advances in genotyping techniques there is increasing interest in genomic selection from which genomically estimated breeding values are derived. In this paper we compare the classical RRBLUP model with state-of-the-art machine learning techniques that should yield themselves easily to use in GS an

SUBMITTER: Grinberg NF 

PROVIDER: S-EPMC4751346 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature