Prospects and Potential Uses of Genomic Prediction of Key Performance Traits in Tetraploid Potato.

ABSTRACT: Genomic prediction is a routine tool in breeding programs of most major animal and plant species. However, its usefulness for potato breeding has not yet been evaluated in detail. The objectives of this study were to (i) examine the prospects of genomic prediction of key performance traits in a diversity panel of tetraploid potato modeling additive, dominance, and epistatic effects, (ii) investigate the effects of size and make up of training set, number of test environments and molecular markers on prediction accuracy, and (iii) assess the effect of including markers from candidate genes on the prediction accuracy. With genomic best linear unbiased prediction (GBLUP), BayesA, BayesCπ, and Bayesian LASSO, four different prediction methods were used for genomic prediction of relative area u

SUBMITTER: Stich B 

PROVIDER: S-EPMC5845909 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature