Population structure correction for genomic selection through eigenvector covariates

Detalhes bibliográficos
Autor(a) principal: Azevedo,Camila Ferreira
Data de Publicação: 2017
Outros Autores: Resende,Marcos Deon Vilela de, Silva,Fabyano Fonseca e, Nascimento,Moysés, Viana,José Marcelo Soriano, Valente,Magno Sávio Ferreira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Crop Breeding and Applied Biotechnology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332017000400350
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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spelling Population structure correction for genomic selection through eigenvector covariatesShort-term genomic predictionMendelian segregationprincipal componentderegressed phenotypeAbstract 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.Crop Breeding and Applied Biotechnology2017-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332017000400350Crop Breeding and Applied Biotechnology v.17 n.4 2017reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/1984-70332017v17n4a53info:eu-repo/semantics/openAccessAzevedo,Camila FerreiraResende,Marcos Deon Vilela deSilva,Fabyano Fonseca eNascimento,MoysésViana,José Marcelo SorianoValente,Magno Sávio Ferreiraeng2017-11-23T00:00:00Zoai:scielo:S1984-70332017000400350Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2017-11-23T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse
dc.title.none.fl_str_mv Population structure correction for genomic selection through eigenvector covariates
title Population structure correction for genomic selection through eigenvector covariates
spellingShingle Population structure correction for genomic selection through eigenvector covariates
Azevedo,Camila Ferreira
Short-term genomic prediction
Mendelian segregation
principal component
deregressed phenotype
title_short Population structure correction for genomic selection through eigenvector covariates
title_full Population structure correction for genomic selection through eigenvector covariates
title_fullStr Population structure correction for genomic selection through eigenvector covariates
title_full_unstemmed Population structure correction for genomic selection through eigenvector covariates
title_sort Population structure correction for genomic selection through eigenvector covariates
author Azevedo,Camila Ferreira
author_facet Azevedo,Camila Ferreira
Resende,Marcos Deon Vilela de
Silva,Fabyano Fonseca e
Nascimento,Moysés
Viana,José Marcelo Soriano
Valente,Magno Sávio Ferreira
author_role author
author2 Resende,Marcos Deon Vilela de
Silva,Fabyano Fonseca e
Nascimento,Moysés
Viana,José Marcelo Soriano
Valente,Magno Sávio Ferreira
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Azevedo,Camila Ferreira
Resende,Marcos Deon Vilela de
Silva,Fabyano Fonseca e
Nascimento,Moysés
Viana,José Marcelo Soriano
Valente,Magno Sávio Ferreira
dc.subject.por.fl_str_mv Short-term genomic prediction
Mendelian segregation
principal component
deregressed phenotype
topic Short-term genomic prediction
Mendelian segregation
principal component
deregressed phenotype
description 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.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332017000400350
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332017000400350
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1984-70332017v17n4a53
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Crop Breeding and Applied Biotechnology
publisher.none.fl_str_mv Crop Breeding and Applied Biotechnology
dc.source.none.fl_str_mv Crop Breeding and Applied Biotechnology v.17 n.4 2017
reponame:Crop Breeding and Applied Biotechnology
instname:Sociedade Brasileira de Melhoramento de Plantas
instacron:CBAB
instname_str Sociedade Brasileira de Melhoramento de Plantas
instacron_str CBAB
institution CBAB
reponame_str Crop Breeding and Applied Biotechnology
collection Crop Breeding and Applied Biotechnology
repository.name.fl_str_mv Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantas
repository.mail.fl_str_mv cbabjournal@gmail.com||cbab@ufv.br
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