Genomic prediction for additive and dominance effects of censored traits in pigs

Detalhes bibliográficos
Autor(a) principal: Santos, V.S.
Data de Publicação: 2016
Outros Autores: Martins Filho, S., Resende, M.D.V., Azevedo, C.F., Lopes, P.S., Guimarães, S.E.F., Silva, F.F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: LOCUS Repositório Institucional da UFV
Texto Completo: http://dx.doi.org/10.4238/gmr15048764
http://www.locus.ufv.br/handle/123456789/12766
Resumo: Número de páginas não informado.
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spelling Santos, V.S.Martins Filho, S.Resende, M.D.V.Azevedo, C.F.Lopes, P.S.Guimarães, S.E.F.Silva, F.F.2017-11-06T16:44:51Z2017-11-06T16:44:51Z2016-10-1716765680http://dx.doi.org/10.4238/gmr15048764http://www.locus.ufv.br/handle/123456789/12766Número de páginas não informado.Age at the time of slaughter is a commonly used trait in animal breeding programs. Since studying this trait involves incomplete observations (censoring), analysis can be performed using survival models or modified linear models, for example, by sampling censored data from truncated normal distributions. For genomic selection, the greatest genetic gains can be achieved by including non-additive genetic effects like dominance. Thus, censored traits with effects on both survival models have not yet been studied under a genomic selection approach. We aimed to predict genomic values using the Cox model with dominance effects and compare these results with the linear model with and without censoring. Linear models were fitted via the maximum likelihood method. For censored data, sampling through the truncated normal distribution was used, and the model was called the truncated normal linear via Gibbs sampling (TNL). We used an F2 pig population; the response variable was time (days) from birth to slaughter. Data were previously adjusted for fixed effects of sex and contemporary group. The model predictive ability was calculated based on correlation of predicted genomic values with adjusted phenotypic values. The results showed that both with and without censoring, there was high agreement between Cox and linear models in selection of individuals and markers. Despite including the dominance effect, there was no increase in predictive ability. This study showed, for the first time, the possibility of performing genomic prediction of traits with censored records while using the Cox survival model with additive and dominance effects.engGenetics and Molecular Research15 (4): gmr15048764, October 2016GBLUPCensored dataMixed modelSurvival modelsGenomic prediction for additive and dominance effects of censored traits in pigsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfinfo:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINALgmr8764.pdfgmr8764.pdftexto completoapplication/pdf466664https://locus.ufv.br//bitstream/123456789/12766/1/gmr8764.pdf4432b1f707f9b276b1f6f3dedec65300MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://locus.ufv.br//bitstream/123456789/12766/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILgmr8764.pdf.jpggmr8764.pdf.jpgIM Thumbnailimage/jpeg4199https://locus.ufv.br//bitstream/123456789/12766/3/gmr8764.pdf.jpgb1aeb4deccac098dd2886f7d04460f37MD53123456789/127662017-11-06 22:00:45.338oai:locus.ufv.br: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Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452017-11-07T01:00:45LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false
dc.title.en.fl_str_mv Genomic prediction for additive and dominance effects of censored traits in pigs
title Genomic prediction for additive and dominance effects of censored traits in pigs
spellingShingle Genomic prediction for additive and dominance effects of censored traits in pigs
Santos, V.S.
GBLUP
Censored data
Mixed model
Survival models
title_short Genomic prediction for additive and dominance effects of censored traits in pigs
title_full Genomic prediction for additive and dominance effects of censored traits in pigs
title_fullStr Genomic prediction for additive and dominance effects of censored traits in pigs
title_full_unstemmed Genomic prediction for additive and dominance effects of censored traits in pigs
title_sort Genomic prediction for additive and dominance effects of censored traits in pigs
author Santos, V.S.
author_facet Santos, V.S.
Martins Filho, S.
Resende, M.D.V.
Azevedo, C.F.
Lopes, P.S.
Guimarães, S.E.F.
Silva, F.F.
author_role author
author2 Martins Filho, S.
Resende, M.D.V.
Azevedo, C.F.
Lopes, P.S.
Guimarães, S.E.F.
Silva, F.F.
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Santos, V.S.
Martins Filho, S.
Resende, M.D.V.
Azevedo, C.F.
Lopes, P.S.
Guimarães, S.E.F.
Silva, F.F.
dc.subject.pt-BR.fl_str_mv GBLUP
Censored data
Mixed model
Survival models
topic GBLUP
Censored data
Mixed model
Survival models
description Número de páginas não informado.
publishDate 2016
dc.date.issued.fl_str_mv 2016-10-17
dc.date.accessioned.fl_str_mv 2017-11-06T16:44:51Z
dc.date.available.fl_str_mv 2017-11-06T16:44:51Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.4238/gmr15048764
http://www.locus.ufv.br/handle/123456789/12766
dc.identifier.issn.none.fl_str_mv 16765680
identifier_str_mv 16765680
url http://dx.doi.org/10.4238/gmr15048764
http://www.locus.ufv.br/handle/123456789/12766
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartofseries.pt-BR.fl_str_mv 15 (4): gmr15048764, October 2016
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Genetics and Molecular Research
publisher.none.fl_str_mv Genetics and Molecular Research
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