Population structure correction for genomic selection through eigenvector covariates

AUTOR(ES)

Azevedo, Camila Ferreira, Resende, Marcos Deon Vilela de, Silva, Fabyano Fonseca e, Nascimento, Moysés, Viana, José Marcelo Soriano, Valente, Magno Sávio Ferreira

FONTE

Crop Breed. Appl. Biotechnol.

DATA DE PUBLICAÇÃO

2017-12

RESUMO

Abstract We proposed a population structure correction for genome-wide selection based on covariance analysis via eigenvector (EVG) decomposition. The agreement between the predicted and true breeding values was evaluated by independent cross-validation data sets. Other correction methods such as correction via principal components, best linear unbiased prediction, and deregressed phenotype were also evaluated. Based on different simulation scenarios, the proposed EVG out performed the other methods in the prediction of accuracy.

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