Comparison of random regression models, traditional animal model and with the inclusion of molecular markers in the estimation of genetic parameters in Colombian Holstein cattle

Detalhes bibliográficos
Autor(a) principal: Cardona-Cifuentes, Daniel
Data de Publicação: 2021
Outros Autores: López-Herrera, Albeiro, González-Herrera, Luis Gabriel, Cerón-Muñoz, Mario Fernando, Echeverri-Zuluaga, José Julián
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Semina. Ciências Agrárias (Online)
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41064
Resumo: The use of molecular markers to identify desirable genes in animal production is known as marker-assisted selection. The traditional genetic evaluation model uses the BLUP methodology; when genetic markers are included in the evaluation model, the methodology is known as M-BLUP. In contrast, random regression models (RRM), unlike the models based on production at 305 days, consider factors that change for each animal from one test to another. The objective of this study was to compare variance components, genetic parameters and breeding values for milk production, protein percentage and somatic cell score in Colombian Holstein cattle using BLUP, M-BLUP and RRM. For the estimation of genetic parameters and values, 2003 lactations corresponding to 1417 cows in 55 herds were used, and effects of the order of delivery, herd, and contemporary group were included. The three traits presented greater heritability under the MBLUP model: 0.44 for protein percentage, 0.27 for milk production and 0.28 for somatic cell score. This was because the genetic variance was greater when M-BLUP was used, which allowed a greater accuracy of the breeding value estimation in the three traits. Therefore, the model that includes information on molecular markers is more suitable for genetic evaluation in Colombian Holstein cattle.
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spelling Comparison of random regression models, traditional animal model and with the inclusion of molecular markers in the estimation of genetic parameters in Colombian Holstein cattleComparação entre modelos de regressão aleatória, modelo animal tradicional e com a inclusão de marcadores moleculares na estimativa de parâmetros genéticos em bovinos da raça Holandesa ColombianaDairy cattleAnimal geneticsGenetic markersAnimal breedingDairy production.Gado leiteiroGenética animalMarcadores genéticosMelhoramento animalProdução leiteira.The use of molecular markers to identify desirable genes in animal production is known as marker-assisted selection. The traditional genetic evaluation model uses the BLUP methodology; when genetic markers are included in the evaluation model, the methodology is known as M-BLUP. In contrast, random regression models (RRM), unlike the models based on production at 305 days, consider factors that change for each animal from one test to another. The objective of this study was to compare variance components, genetic parameters and breeding values for milk production, protein percentage and somatic cell score in Colombian Holstein cattle using BLUP, M-BLUP and RRM. For the estimation of genetic parameters and values, 2003 lactations corresponding to 1417 cows in 55 herds were used, and effects of the order of delivery, herd, and contemporary group were included. The three traits presented greater heritability under the MBLUP model: 0.44 for protein percentage, 0.27 for milk production and 0.28 for somatic cell score. This was because the genetic variance was greater when M-BLUP was used, which allowed a greater accuracy of the breeding value estimation in the three traits. Therefore, the model that includes information on molecular markers is more suitable for genetic evaluation in Colombian Holstein cattle.O uso de marcadores moleculares para identificar genes desejáveis na produção animal é conhecido como seleção assistida por marcadores. O modelo tradicional de avaliação genética utiliza a metodologia BLUP, e quando os marcadores genéticos são incluídos no modelo de avaliação, a metodologia é conhecida como M-BLUP. Por outro lado, os modelos de regressão aleatória (RRM), ao contrário dos modelos baseados em produções a 305 dias, consideram fatores que mudam para cada indivíduo de um controle para outro. O objetivo deste estudo foi comparar componentes de variância, parâmetros e valores genéticos para produção de leite, percentagem de proteína e escore de células somáticas em gado holandês de Colômbia utilizando BLUP, M-BLUP e RRM. Para a estimativa de parâmetros e valores genéticos, foram utilizadas 2.003 lactações correspondentes a 1.417 vacas de 55 rebanhos e efeitos da ordem de parto, rebanho e grupo contemporâneo. Os três traços apresentaram maior hereditariedade no modelo MBLUP, 0,44 para percentagem de proteína, 0,27 para produção de leite e 0,28 para escore de células somáticas. Isso por causa da variância genética foi maior quando o M-BLUP foi utilizado, o que permitiu estimar maior precisão do valor genético nos três traços, portanto, o modelo que inclui informações sobre marcadores moleculares é mais adequado para avaliação genética em gado holandês colombiano.UEL2021-03-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionBLUP; M-BLUP; RRMapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/4106410.5433/1679-0359.2021v42n3p1303Semina: Ciências Agrárias; Vol. 42 No. 3 (2021); 1303-1322Semina: Ciências Agrárias; v. 42 n. 3 (2021); 1303-13221679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41064/29174Copyright (c) 2021 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessCardona-Cifuentes, DanielLópez-Herrera, AlbeiroGonzález-Herrera, Luis GabrielCerón-Muñoz, Mario FernandoEcheverri-Zuluaga, José Julián2022-10-04T13:08:39Zoai:ojs.pkp.sfu.ca:article/41064Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-10-04T13:08:39Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Comparison of random regression models, traditional animal model and with the inclusion of molecular markers in the estimation of genetic parameters in Colombian Holstein cattle
Comparação entre modelos de regressão aleatória, modelo animal tradicional e com a inclusão de marcadores moleculares na estimativa de parâmetros genéticos em bovinos da raça Holandesa Colombiana
title Comparison of random regression models, traditional animal model and with the inclusion of molecular markers in the estimation of genetic parameters in Colombian Holstein cattle
spellingShingle Comparison of random regression models, traditional animal model and with the inclusion of molecular markers in the estimation of genetic parameters in Colombian Holstein cattle
Cardona-Cifuentes, Daniel
Dairy cattle
Animal genetics
Genetic markers
Animal breeding
Dairy production.
Gado leiteiro
Genética animal
Marcadores genéticos
Melhoramento animal
Produção leiteira.
title_short Comparison of random regression models, traditional animal model and with the inclusion of molecular markers in the estimation of genetic parameters in Colombian Holstein cattle
title_full Comparison of random regression models, traditional animal model and with the inclusion of molecular markers in the estimation of genetic parameters in Colombian Holstein cattle
title_fullStr Comparison of random regression models, traditional animal model and with the inclusion of molecular markers in the estimation of genetic parameters in Colombian Holstein cattle
title_full_unstemmed Comparison of random regression models, traditional animal model and with the inclusion of molecular markers in the estimation of genetic parameters in Colombian Holstein cattle
title_sort Comparison of random regression models, traditional animal model and with the inclusion of molecular markers in the estimation of genetic parameters in Colombian Holstein cattle
author Cardona-Cifuentes, Daniel
author_facet Cardona-Cifuentes, Daniel
López-Herrera, Albeiro
González-Herrera, Luis Gabriel
Cerón-Muñoz, Mario Fernando
Echeverri-Zuluaga, José Julián
author_role author
author2 López-Herrera, Albeiro
González-Herrera, Luis Gabriel
Cerón-Muñoz, Mario Fernando
Echeverri-Zuluaga, José Julián
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Cardona-Cifuentes, Daniel
López-Herrera, Albeiro
González-Herrera, Luis Gabriel
Cerón-Muñoz, Mario Fernando
Echeverri-Zuluaga, José Julián
dc.subject.por.fl_str_mv Dairy cattle
Animal genetics
Genetic markers
Animal breeding
Dairy production.
Gado leiteiro
Genética animal
Marcadores genéticos
Melhoramento animal
Produção leiteira.
topic Dairy cattle
Animal genetics
Genetic markers
Animal breeding
Dairy production.
Gado leiteiro
Genética animal
Marcadores genéticos
Melhoramento animal
Produção leiteira.
description The use of molecular markers to identify desirable genes in animal production is known as marker-assisted selection. The traditional genetic evaluation model uses the BLUP methodology; when genetic markers are included in the evaluation model, the methodology is known as M-BLUP. In contrast, random regression models (RRM), unlike the models based on production at 305 days, consider factors that change for each animal from one test to another. The objective of this study was to compare variance components, genetic parameters and breeding values for milk production, protein percentage and somatic cell score in Colombian Holstein cattle using BLUP, M-BLUP and RRM. For the estimation of genetic parameters and values, 2003 lactations corresponding to 1417 cows in 55 herds were used, and effects of the order of delivery, herd, and contemporary group were included. The three traits presented greater heritability under the MBLUP model: 0.44 for protein percentage, 0.27 for milk production and 0.28 for somatic cell score. This was because the genetic variance was greater when M-BLUP was used, which allowed a greater accuracy of the breeding value estimation in the three traits. Therefore, the model that includes information on molecular markers is more suitable for genetic evaluation in Colombian Holstein cattle.
publishDate 2021
dc.date.none.fl_str_mv 2021-03-19
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
BLUP; M-BLUP; RRM
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41064
10.5433/1679-0359.2021v42n3p1303
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41064
identifier_str_mv 10.5433/1679-0359.2021v42n3p1303
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41064/29174
dc.rights.driver.fl_str_mv Copyright (c) 2021 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 42 No. 3 (2021); 1303-1322
Semina: Ciências Agrárias; v. 42 n. 3 (2021); 1303-1322
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
_version_ 1799306083515236352

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