Genome-wide prediction methods in highly diverse and heterozygous species: proof-of-concept through simulation in grapevine.

ABSTRACT: Nowadays, genome-wide association studies (GWAS) and genomic selection (GS) methods which use genome-wide marker data for phenotype prediction are of much potential interest in plant breeding. However, to our knowledge, no studies have been performed yet on the predictive ability of these methods for structured traits when using training populations with high levels of genetic diversity. Such an example of a highly heterozygous, perennial species is grapevine. The present study compares the accuracy of models based on GWAS or GS alone, or in combination, for predicting simple or complex traits, linked or not with population structure. In order to explore the relevance of these methods in this context, we performed simulations using approx 90,000 SNPs on a population of 3,000 individuals st

SUBMITTER: Fodor A 

PROVIDER: S-EPMC4217727 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature