Potential of marker selection to increase prediction accuracy of genomic selection in soybean (Glycine max L.).

ABSTRACT: Genomic selection is a promising molecular breeding strategy enhancing genetic gain per unit time. The objectives of our study were to (1) explore the prediction accuracy of genomic selection for plant height and yield per plant in soybean [Glycine max (L.) Merr.], (2) discuss the relationship between prediction accuracy and numbers of markers, and (3) evaluate the effect of marker preselection based on different methods on the prediction accuracy. Our study is based on a population of 235 soybean varieties which were evaluated for plant height and yield per plant at multiple locations and genotyped by 5361 single nucleotide polymorphism markers. We applied ridge regression best linear unbiased prediction coupled with fivefold cross-validations and evaluated three strategies of mark

SUBMITTER: Ma Y 

PROVIDER: S-EPMC4965486 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature