Implementing within-cross genomic prediction to reduce oat breeding costs.

ABSTRACT: A barrier to the adoption of genomic prediction in small breeding programs is the initial cost of genotyping material. Although decreasing, marker costs are usually higher than field trial costs. In this study we demonstrate the utility of stratifying a narrow-base biparental oat population genotyped with a modest number of markers to employ genomic prediction at early and later generations. We also show that early generation genotyping data can reduce the number of lines for later phenotyping based on selections of siblings to progress. Using sets of small families selected at an early generation could enable the use of genomic prediction for adaptation to multiple target environments at an early stage in the breeding program. In addition, we demonstrate that mixed marker data can be effe

SUBMITTER: Mellers G 

PROVIDER: S-EPMC8638661 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature