Relatedness severely impacts accuracy of marker-assisted selection for disease resistance in hybrid wheat.

ABSTRACT: The accuracy of genomic selection depends on the relatedness between the members of the set in which marker effects are estimated based on evaluation data and the types for which performance is predicted. Here, we investigate the impact of relatedness on the performance of marker-assisted selection for fungal disease resistance in hybrid wheat. A large and diverse mapping population of 1739 elite European winter wheat inbred lines and hybrids was evaluated for powdery mildew, leaf rust and stripe rust resistance in multi-location field trials and fingerprinted with 9 k and 90 k SNP arrays. Comparison of the accuracies of prediction achieved with data sets from the two marker arrays revealed a crucial role for a sufficiently high marker density in genome-wide association mapping. Cross-vali

SUBMITTER: Gowda M 

PROVIDER: S-EPMC3998782 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature