Inclusion of genomic information in estimation of genetic parameters for body weights and visual scores in Nelore cattle
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.37496/RBZ5020200077 http://hdl.handle.net/11449/233531 |
Resumo: | The aim of this study was to evaluate genomic information inclusion in genetic parameter estimation of standardized body weight at birth and at 240, 365, and 450 days of age, and visual scores for body structure, precocity, and body muscularity, measured as yearlings in Nelore cattle. We compared genetic parameters, (co)variance components (estimated from Bayesian inference and Gibbs sampling), breeding value accuracies, genetic trends, and principal component analysis (PCA) obtained throughtraditional GBLUP and ssGBLUP methods. For all traits analyzed, part of the phenotypic variation was explained by the additive genetic effect, thus indicating the capacity of traits to respond to the selection process. Estimates of genetic correlation, in both methodologies, between body weights and visual scores were, in general, high and positive, showing that the selection for visual scores can lead to heavier animals. Genetic trends showed genetic progress, both when estimated breeding values and genomic estimated breeding values were used. The PCA, genetic trends, and accuracy estimates on breeding values showed that inclusion of single nucleotide polymorphism information contributed towards slightly better estimates of the genetic variability of evaluated traits. Genomic information did not bring greater gains in genetic estimates, due to redundancy of kinship information from the pedigree, which already had complete animal kinship data |
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Repositório Institucional da UNESP |
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Inclusion of genomic information in estimation of genetic parameters for body weights and visual scores in Nelore cattlebeef cattlegenetic parametersgenetic trendsgrowth traitsselectionThe aim of this study was to evaluate genomic information inclusion in genetic parameter estimation of standardized body weight at birth and at 240, 365, and 450 days of age, and visual scores for body structure, precocity, and body muscularity, measured as yearlings in Nelore cattle. We compared genetic parameters, (co)variance components (estimated from Bayesian inference and Gibbs sampling), breeding value accuracies, genetic trends, and principal component analysis (PCA) obtained throughtraditional GBLUP and ssGBLUP methods. For all traits analyzed, part of the phenotypic variation was explained by the additive genetic effect, thus indicating the capacity of traits to respond to the selection process. Estimates of genetic correlation, in both methodologies, between body weights and visual scores were, in general, high and positive, showing that the selection for visual scores can lead to heavier animals. Genetic trends showed genetic progress, both when estimated breeding values and genomic estimated breeding values were used. The PCA, genetic trends, and accuracy estimates on breeding values showed that inclusion of single nucleotide polymorphism information contributed towards slightly better estimates of the genetic variability of evaluated traits. Genomic information did not bring greater gains in genetic estimates, due to redundancy of kinship information from the pedigree, which already had complete animal kinship dataCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Universidade Estadual Paulista Faculdade de Ciências Agrárias e VeterináriasCentro Universitário de AdamantinaUniversidade Federal de Santa Catarina Departamento de Zootecnia e Desenvolvimento RuralUniversidade de São Paulo Faculdade de Medicina de Ribeirão PretoUniversidade Estadual Paulista Faculdade de Ciências Agrárias e VeterináriasCNPq: 165371/2018-8FAPESP: 2015/25096-6Universidade Estadual Paulista (UNESP)Centro Universitário de AdamantinaUniversidade Federal de Santa Catarina (UFSC)Universidade de São Paulo (USP)Watanabe, Rafael Nakamura [UNESP]Nascimento, Guilherme Batista doBernardes, Priscila Arriguccida Costa, Rebeka Magalhães [UNESP]Lôbo, Raysildo BarbosaBaldi, Fernando [UNESP]Munari, Danísio Prado [UNESP]2022-05-01T09:00:56Z2022-05-01T09:00:56Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1-14http://dx.doi.org/10.37496/RBZ5020200077Revista Brasileira de Zootecnia, v. 50, p. 1-14.1806-92901516-3598http://hdl.handle.net/11449/23353110.37496/RBZ50202000772-s2.0-85114887271Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Brasileira de Zootecniainfo:eu-repo/semantics/openAccess2024-06-06T13:42:49Zoai:repositorio.unesp.br:11449/233531Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:48:38.944735Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Inclusion of genomic information in estimation of genetic parameters for body weights and visual scores in Nelore cattle |
title |
Inclusion of genomic information in estimation of genetic parameters for body weights and visual scores in Nelore cattle |
spellingShingle |
Inclusion of genomic information in estimation of genetic parameters for body weights and visual scores in Nelore cattle Watanabe, Rafael Nakamura [UNESP] beef cattle genetic parameters genetic trends growth traits selection |
title_short |
Inclusion of genomic information in estimation of genetic parameters for body weights and visual scores in Nelore cattle |
title_full |
Inclusion of genomic information in estimation of genetic parameters for body weights and visual scores in Nelore cattle |
title_fullStr |
Inclusion of genomic information in estimation of genetic parameters for body weights and visual scores in Nelore cattle |
title_full_unstemmed |
Inclusion of genomic information in estimation of genetic parameters for body weights and visual scores in Nelore cattle |
title_sort |
Inclusion of genomic information in estimation of genetic parameters for body weights and visual scores in Nelore cattle |
author |
Watanabe, Rafael Nakamura [UNESP] |
author_facet |
Watanabe, Rafael Nakamura [UNESP] Nascimento, Guilherme Batista do Bernardes, Priscila Arrigucci da Costa, Rebeka Magalhães [UNESP] Lôbo, Raysildo Barbosa Baldi, Fernando [UNESP] Munari, Danísio Prado [UNESP] |
author_role |
author |
author2 |
Nascimento, Guilherme Batista do Bernardes, Priscila Arrigucci da Costa, Rebeka Magalhães [UNESP] Lôbo, Raysildo Barbosa Baldi, Fernando [UNESP] Munari, Danísio Prado [UNESP] |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Centro Universitário de Adamantina Universidade Federal de Santa Catarina (UFSC) Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Watanabe, Rafael Nakamura [UNESP] Nascimento, Guilherme Batista do Bernardes, Priscila Arrigucci da Costa, Rebeka Magalhães [UNESP] Lôbo, Raysildo Barbosa Baldi, Fernando [UNESP] Munari, Danísio Prado [UNESP] |
dc.subject.por.fl_str_mv |
beef cattle genetic parameters genetic trends growth traits selection |
topic |
beef cattle genetic parameters genetic trends growth traits selection |
description |
The aim of this study was to evaluate genomic information inclusion in genetic parameter estimation of standardized body weight at birth and at 240, 365, and 450 days of age, and visual scores for body structure, precocity, and body muscularity, measured as yearlings in Nelore cattle. We compared genetic parameters, (co)variance components (estimated from Bayesian inference and Gibbs sampling), breeding value accuracies, genetic trends, and principal component analysis (PCA) obtained throughtraditional GBLUP and ssGBLUP methods. For all traits analyzed, part of the phenotypic variation was explained by the additive genetic effect, thus indicating the capacity of traits to respond to the selection process. Estimates of genetic correlation, in both methodologies, between body weights and visual scores were, in general, high and positive, showing that the selection for visual scores can lead to heavier animals. Genetic trends showed genetic progress, both when estimated breeding values and genomic estimated breeding values were used. The PCA, genetic trends, and accuracy estimates on breeding values showed that inclusion of single nucleotide polymorphism information contributed towards slightly better estimates of the genetic variability of evaluated traits. Genomic information did not bring greater gains in genetic estimates, due to redundancy of kinship information from the pedigree, which already had complete animal kinship data |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 2022-05-01T09:00:56Z 2022-05-01T09:00:56Z |
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/10.37496/RBZ5020200077 Revista Brasileira de Zootecnia, v. 50, p. 1-14. 1806-9290 1516-3598 http://hdl.handle.net/11449/233531 10.37496/RBZ5020200077 2-s2.0-85114887271 |
url |
http://dx.doi.org/10.37496/RBZ5020200077 http://hdl.handle.net/11449/233531 |
identifier_str_mv |
Revista Brasileira de Zootecnia, v. 50, p. 1-14. 1806-9290 1516-3598 10.37496/RBZ5020200077 2-s2.0-85114887271 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Revista Brasileira de Zootecnia |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1-14 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128861500604416 |