Population structure correction for genomic selection through eigenvector covariates

被引：12

作者：

Azevedo, Camila Ferreira ^{[1
]}

Vilela de Resende, Marcos Deon ^{[1
,2
]}

Fonseca e Silva, Fabyano ^{[3
]}

Nascimento, Moyses ^{[1
]}

Soriano Viana, Jose Marcelo ^{[4
]}

Ferreira Valente, Magno Savio ^{[4
]}

机构：

[1] Univ Fed Vicosa UFV, Dept Estat, BR-36570900 Vicosa, MG, Brazil

[2] Univ Fed Vicosa, Dept Engn Florestal, Vicosa, MG, Brazil

[3] Univ Fed Vicosa, Dept Zootecnia, Vicosa, MG, Brazil

[4] Univ Fed Vicosa, Dept Biol Geral, Vicosa, MG, Brazil

来源：

CROP BREEDING AND APPLIED BIOTECHNOLOGY | 2017年 / 17卷 / 04期

关键词：

Short-term genomic prediction; Mendelian segregation; principal component; deregressed phenotype; PREDICTION; STRATIFICATION; ACCURACY; COMPONENTS;

D O I：

10.1590/1984-70332017v17n4a53

中图分类号：

S3 [农学（农艺学）];

学科分类号：

0901 ;

摘要：

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.

引用

页码：350 / 358

页数：9

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