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- Title
Population structure correction for genomic selection through eigenvector covariates.
- Authors
Azevedo, Camila Ferreira; de Resende, Marcos Deon Vilela; e Silva, Fabyano Fonseca; Nascimento, Moysés; Viana, José Marcelo Soriano; Valente, Magno Sávio Ferreira
- 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.
- Subjects
PLANT breeding; PLANT genomes; EIGENVECTORS; PHENOTYPES; PRINCIPAL components analysis
- Publication
Crop Breeding & Applied Biotechnology, 2017, Vol 17, Issue 4, p350
- ISSN
1518-7853
- Publication type
Article
- DOI
10.1590/1984-70332017v17n4a53