Combining genetic resources and elite material populations to improve the accuracy of genomic prediction in apple.

ABSTRACT: Genomic selection is an attractive strategy for apple breeding that could reduce the length of breeding cycles. A possible limitation to the practical implementation of this approach lies in the creation of a training set large and diverse enough to ensure accurate predictions. In this study, we investigated the potential of combining two available populations, i.e., genetic resources and elite material, in order to obtain a large training set with a high genetic diversity. We compared the predictive ability of genomic predictions within-population, across-population or when combining both populations, and tested a model accounting for population-specific marker effects in this last case. The obtained predictive abilities were moderate to high according to the studied trait and small incre

SUBMITTER: Cazenave X 

PROVIDER: S-EPMC9210277 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature