Title:	Population structure correction for genomic selection through eigenvector covariates.
Authors:	AZEVEDO, C. F. RESENDE, M. D. V. de SILVA, F. F. e NASCIMENTO, M. VIANA, J. M. S. VALENTE, M. S. F.
Affiliation:	Camila Ferreira Azevedo, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; Fabyano Fonseca e Silva, UFV; Moysés Nascimento, UFV; José Marcelo Soriano Viana, UFV; Magno Sávio Ferreira Valente, UFV.
Date Issued:	2017
Citation:	Crop Breeding and Applied Biotechnology, Viçosa, v. 17, n. 4, p.350-358, Oct./Dec. 2017.
Description:	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.
Keywords:	Mendelian segregation Deregressed phenotype Short-term genomic prediction Principal component
DOI:	10.1590/1984- 70332017v17n4a53
Type of Material:	Artigo de periódico
Access:	openAccess
Appears in Collections:	Artigo em periódico indexado (CNPF)