Population structure correction for genomic selection through eigenvector covariates.
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084041 |
Resumo: | 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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Population structure correction for genomic selection through eigenvector covariates.Mendelian segregationDeregressed phenotypeShort-term genomic predictionPrincipal componentWe 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.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.AZEVEDO, C. F.RESENDE, M. D. V. deSILVA, F. F. eNASCIMENTO, M.VIANA, J. M. S.VALENTE, M. S. F.2018-01-02T23:18:58Z2018-01-02T23:18:58Z2018-01-0220172018-01-02T23:18:58Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleCrop Breeding and Applied Biotechnology, Viçosa, v. 17, n. 4, p.350-358, Oct./Dec. 2017.http://www.alice.cnptia.embrapa.br/alice/handle/doc/108404110.1590/1984- 70332017v17n4a53enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2018-01-02T23:19:05Zoai:www.alice.cnptia.embrapa.br:doc/1084041Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542018-01-02T23:19:05falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542018-01-02T23:19:05Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
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, C. F. Mendelian segregation Deregressed phenotype Short-term genomic prediction Principal component |
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, C. F. |
author_facet |
AZEVEDO, C. F. RESENDE, M. D. V. de SILVA, F. F. e NASCIMENTO, M. VIANA, J. M. S. VALENTE, M. S. F. |
author_role |
author |
author2 |
RESENDE, M. D. V. de SILVA, F. F. e NASCIMENTO, M. VIANA, J. M. S. VALENTE, M. S. F. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
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. |
dc.contributor.author.fl_str_mv |
AZEVEDO, C. F. RESENDE, M. D. V. de SILVA, F. F. e NASCIMENTO, M. VIANA, J. M. S. VALENTE, M. S. F. |
dc.subject.por.fl_str_mv |
Mendelian segregation Deregressed phenotype Short-term genomic prediction Principal component |
topic |
Mendelian segregation Deregressed phenotype Short-term genomic prediction Principal component |
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. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2018-01-02T23:18:58Z 2018-01-02T23:18:58Z 2018-01-02 2018-01-02T23:18:58Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Crop Breeding and Applied Biotechnology, Viçosa, v. 17, n. 4, p.350-358, Oct./Dec. 2017. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084041 10.1590/1984- 70332017v17n4a53 |
identifier_str_mv |
Crop Breeding and Applied Biotechnology, Viçosa, v. 17, n. 4, p.350-358, Oct./Dec. 2017. 10.1590/1984- 70332017v17n4a53 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084041 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503447191486464 |