Inclusion of genomic information in estimation of genetic parameters for body weights and visual scores in Nelore cattle

Detalhes bibliográficos
Autor(a) principal: Watanabe, Rafael Nakamura [UNESP]
Data de Publicação: 2021
Outros Autores: Nascimento, Guilherme Batista do, Bernardes, Priscila Arrigucci, da Costa, Rebeka Magalhães [UNESP], Lôbo, Raysildo Barbosa, Baldi, Fernando [UNESP], Munari, Danísio Prado [UNESP]
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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spelling 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
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