Genetic evaluation of weaning weight and udder score in Nellore 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/10.1016/j.livsci.2021.104400 http://hdl.handle.net/11449/208317 |
Resumo: | The aim of this study was to estimate genetic parameters for weaning weight (WW) and udder score (US) of 186,151 Nellore animals raised in extensive systems. The (co)variance components and estimated breeding values (EBVs) were obtained by two-trait analyses using Bayesian inference. The maternal effect (ME) was expressed as the maternal additive genetic variance of the calf's weaning weight (WW). The direct heritabilities were 0.13 ± 0.012 and 0.23 ± 0.012 for WW and US, respectively. The maternal heritability was 0.11 ± 0.012 for WW. The genetic correlations between WW and US (0.48 ± 0.053), WW and ME (0.41 ± 0.067), and US and ME (0.31 ± 0.041) were positive and moderate. Cows with maternal udder scores (US_M) 3 and 4 showed higher EBVs for ME (2.58 ± 0.070 and 2.88 ± 0.214, respectively) and their progeny had higher EBVs for WW (4.58 ± 0.058 and 5.07 ± 0.168) and US (0.20 ± 0.001 and 0.26 ± 0.005). The genetic trends demonstrate genetic progress in the selection program over the years, with values of 0.19 kg and 0.01 points for WW and US, respectively. The genetic trend in ME was 0.04 kg for WW. In addition, a positive genetic correlation was observed between these traits, as well between the traits and ME, i.e., selection would result in positive genetic gains. The use of US_M may help improve body weight and udder quality in the progeny. Furthermore, the trends indicate that the selection adopted on the farms has been effective in promoting genetic progress. |
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Genetic evaluation of weaning weight and udder score in Nellore cattleBayesian inferenceBos taurus indicusMaternal effectSelectionVariance componentsThe aim of this study was to estimate genetic parameters for weaning weight (WW) and udder score (US) of 186,151 Nellore animals raised in extensive systems. The (co)variance components and estimated breeding values (EBVs) were obtained by two-trait analyses using Bayesian inference. The maternal effect (ME) was expressed as the maternal additive genetic variance of the calf's weaning weight (WW). The direct heritabilities were 0.13 ± 0.012 and 0.23 ± 0.012 for WW and US, respectively. The maternal heritability was 0.11 ± 0.012 for WW. The genetic correlations between WW and US (0.48 ± 0.053), WW and ME (0.41 ± 0.067), and US and ME (0.31 ± 0.041) were positive and moderate. Cows with maternal udder scores (US_M) 3 and 4 showed higher EBVs for ME (2.58 ± 0.070 and 2.88 ± 0.214, respectively) and their progeny had higher EBVs for WW (4.58 ± 0.058 and 5.07 ± 0.168) and US (0.20 ± 0.001 and 0.26 ± 0.005). The genetic trends demonstrate genetic progress in the selection program over the years, with values of 0.19 kg and 0.01 points for WW and US, respectively. The genetic trend in ME was 0.04 kg for WW. In addition, a positive genetic correlation was observed between these traits, as well between the traits and ME, i.e., selection would result in positive genetic gains. The use of US_M may help improve body weight and udder quality in the progeny. Furthermore, the trends indicate that the selection adopted on the farms has been effective in promoting genetic progress.São Paulo State University (UNESP) College of Agriculture and Veterinary Science (FCAV)São Paulo State University (UNESP) School of Veterinary Medicine and Animal Science (FMVZ)Federal University of Viçosa (UFV)Embrapa Southeast Livestock (EMBRAPA)Federal University of São João del-Rei (UFSJ)São Paulo State University (UNESP) College of Agriculture and Veterinary Science (FCAV)São Paulo State University (UNESP) School of Veterinary Medicine and Animal Science (FMVZ)Universidade Estadual Paulista (Unesp)Universidade Federal de Viçosa (UFV)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade Federal de Sergipe (UFS)de Oliveira, Matheus Henrique Vargas [UNESP]Silva, Josineudson Augusto II de Vasconcelos [UNESP]Faria, Ricardo Antônio da Silva [UNESP]de Paiva, José TeodoroMalheiros, Jessica MoraesCorreia, Luiz Eduardo Cruz dos Santos [UNESP]Albuquerque, Lucia Galvão [UNESP]Gaya, Leila de Genova2021-06-25T11:10:14Z2021-06-25T11:10:14Z2021-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.livsci.2021.104400Livestock Science, v. 244.1871-1413http://hdl.handle.net/11449/20831710.1016/j.livsci.2021.1044002-s2.0-85099336991Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengLivestock Scienceinfo:eu-repo/semantics/openAccess2024-06-07T18:45:08Zoai:repositorio.unesp.br:11449/208317Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-06T00:05:00.731489Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Genetic evaluation of weaning weight and udder score in Nellore cattle |
title |
Genetic evaluation of weaning weight and udder score in Nellore cattle |
spellingShingle |
Genetic evaluation of weaning weight and udder score in Nellore cattle de Oliveira, Matheus Henrique Vargas [UNESP] Bayesian inference Bos taurus indicus Maternal effect Selection Variance components |
title_short |
Genetic evaluation of weaning weight and udder score in Nellore cattle |
title_full |
Genetic evaluation of weaning weight and udder score in Nellore cattle |
title_fullStr |
Genetic evaluation of weaning weight and udder score in Nellore cattle |
title_full_unstemmed |
Genetic evaluation of weaning weight and udder score in Nellore cattle |
title_sort |
Genetic evaluation of weaning weight and udder score in Nellore cattle |
author |
de Oliveira, Matheus Henrique Vargas [UNESP] |
author_facet |
de Oliveira, Matheus Henrique Vargas [UNESP] Silva, Josineudson Augusto II de Vasconcelos [UNESP] Faria, Ricardo Antônio da Silva [UNESP] de Paiva, José Teodoro Malheiros, Jessica Moraes Correia, Luiz Eduardo Cruz dos Santos [UNESP] Albuquerque, Lucia Galvão [UNESP] Gaya, Leila de Genova |
author_role |
author |
author2 |
Silva, Josineudson Augusto II de Vasconcelos [UNESP] Faria, Ricardo Antônio da Silva [UNESP] de Paiva, José Teodoro Malheiros, Jessica Moraes Correia, Luiz Eduardo Cruz dos Santos [UNESP] Albuquerque, Lucia Galvão [UNESP] Gaya, Leila de Genova |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade Federal de Viçosa (UFV) Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Universidade Federal de Sergipe (UFS) |
dc.contributor.author.fl_str_mv |
de Oliveira, Matheus Henrique Vargas [UNESP] Silva, Josineudson Augusto II de Vasconcelos [UNESP] Faria, Ricardo Antônio da Silva [UNESP] de Paiva, José Teodoro Malheiros, Jessica Moraes Correia, Luiz Eduardo Cruz dos Santos [UNESP] Albuquerque, Lucia Galvão [UNESP] Gaya, Leila de Genova |
dc.subject.por.fl_str_mv |
Bayesian inference Bos taurus indicus Maternal effect Selection Variance components |
topic |
Bayesian inference Bos taurus indicus Maternal effect Selection Variance components |
description |
The aim of this study was to estimate genetic parameters for weaning weight (WW) and udder score (US) of 186,151 Nellore animals raised in extensive systems. The (co)variance components and estimated breeding values (EBVs) were obtained by two-trait analyses using Bayesian inference. The maternal effect (ME) was expressed as the maternal additive genetic variance of the calf's weaning weight (WW). The direct heritabilities were 0.13 ± 0.012 and 0.23 ± 0.012 for WW and US, respectively. The maternal heritability was 0.11 ± 0.012 for WW. The genetic correlations between WW and US (0.48 ± 0.053), WW and ME (0.41 ± 0.067), and US and ME (0.31 ± 0.041) were positive and moderate. Cows with maternal udder scores (US_M) 3 and 4 showed higher EBVs for ME (2.58 ± 0.070 and 2.88 ± 0.214, respectively) and their progeny had higher EBVs for WW (4.58 ± 0.058 and 5.07 ± 0.168) and US (0.20 ± 0.001 and 0.26 ± 0.005). The genetic trends demonstrate genetic progress in the selection program over the years, with values of 0.19 kg and 0.01 points for WW and US, respectively. The genetic trend in ME was 0.04 kg for WW. In addition, a positive genetic correlation was observed between these traits, as well between the traits and ME, i.e., selection would result in positive genetic gains. The use of US_M may help improve body weight and udder quality in the progeny. Furthermore, the trends indicate that the selection adopted on the farms has been effective in promoting genetic progress. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T11:10:14Z 2021-06-25T11:10:14Z 2021-02-01 |
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/10.1016/j.livsci.2021.104400 Livestock Science, v. 244. 1871-1413 http://hdl.handle.net/11449/208317 10.1016/j.livsci.2021.104400 2-s2.0-85099336991 |
url |
http://dx.doi.org/10.1016/j.livsci.2021.104400 http://hdl.handle.net/11449/208317 |
identifier_str_mv |
Livestock Science, v. 244. 1871-1413 10.1016/j.livsci.2021.104400 2-s2.0-85099336991 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Livestock Science |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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_ |
1808129581314473984 |