Genetic parameters of growth traits in Nellore cattle
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , |
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/26439 |
Resumo: | This study evaluated non-genetic factors and calculated heritability estimates of direct and maternal effects for growth traits in Nellore cattle raised in southern Brazil. Performance records of 4170, 1538, 3139, 1830, and 1151 calves born from 2005 to 2011 were analyzed for birth weight (BW), adjusted120-day weight (W120), adjusted 205-day weight (W205), adjusted365-day weight (W365), and adjusted 550-day weight (W550), respectively. The components of (co)variance used to calculate heritability estimates were determined by Derivative-Free Restricted Maximum Likelihood using the MTDFREML software. Contemporary groups were included in the model as fixed effects, and direct and maternal effects, permanent environmental effects, and residual errors were included as random effects. Phenotypic correlations were estimated using the PROC CORR procedure from SAS. Overall means for BW, W120, W205, W365, and W550 were 38, 138, 201, 270, and 376 kg, respectively. Heritability estimates for direct and maternal effects were 0.17 ± 0.04 and 0.11 ± 0.03 (BW), 0.14 ± 0.03 and 0.03 ± 0.04 (W120), and 0.17 ± 0.04 and 0.09 ± 0.03 (W205). Genetic, phenotypic, and environmental correlations were 0.79, 0.44, and 0.32 for BW and W120, 0.79, 0.39, and 0.26 for BW and W205, and 0.96, 0.74, and 0.75 for W120 and W205. The results indicate that selection for pre-weaning weight would be more efficient using W205, and genetic correlation coefficients indicate that selection at any age should produce a positively correlated response at older ages. Genetic, phenotypic, and environmental correlation coefficients between W365 and W550 were 0.99, 0.75, and 0.76, respectively. Selection for adjusted 550-day weight should produce the greatest genetic gains. Genetic correlation coefficients between weight traits indicate that selection for weight at older ages, which could help reduce the number of weighings and increase accuracy of selection at younger ages, produces gains at older ages. |
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Semina. Ciências Agrárias (Online) |
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Genetic parameters of growth traits in Nellore cattleParâmetros genéticos de características de crescimento de bovinos na raça NeloreBeef cattleBody weightCorrelationDirect heritabilityMaternal heritability.CorrelaçãoHerdabilidade diretaHerdabilidade maternaGado de cortePeso corporal.This study evaluated non-genetic factors and calculated heritability estimates of direct and maternal effects for growth traits in Nellore cattle raised in southern Brazil. Performance records of 4170, 1538, 3139, 1830, and 1151 calves born from 2005 to 2011 were analyzed for birth weight (BW), adjusted120-day weight (W120), adjusted 205-day weight (W205), adjusted365-day weight (W365), and adjusted 550-day weight (W550), respectively. The components of (co)variance used to calculate heritability estimates were determined by Derivative-Free Restricted Maximum Likelihood using the MTDFREML software. Contemporary groups were included in the model as fixed effects, and direct and maternal effects, permanent environmental effects, and residual errors were included as random effects. Phenotypic correlations were estimated using the PROC CORR procedure from SAS. Overall means for BW, W120, W205, W365, and W550 were 38, 138, 201, 270, and 376 kg, respectively. Heritability estimates for direct and maternal effects were 0.17 ± 0.04 and 0.11 ± 0.03 (BW), 0.14 ± 0.03 and 0.03 ± 0.04 (W120), and 0.17 ± 0.04 and 0.09 ± 0.03 (W205). Genetic, phenotypic, and environmental correlations were 0.79, 0.44, and 0.32 for BW and W120, 0.79, 0.39, and 0.26 for BW and W205, and 0.96, 0.74, and 0.75 for W120 and W205. The results indicate that selection for pre-weaning weight would be more efficient using W205, and genetic correlation coefficients indicate that selection at any age should produce a positively correlated response at older ages. Genetic, phenotypic, and environmental correlation coefficients between W365 and W550 were 0.99, 0.75, and 0.76, respectively. Selection for adjusted 550-day weight should produce the greatest genetic gains. Genetic correlation coefficients between weight traits indicate that selection for weight at older ages, which could help reduce the number of weighings and increase accuracy of selection at younger ages, produces gains at older ages.Com o objetivo de estudar os fatores ambientais e estimar os parâmetros genéticos, para os efeitos diretos e maternos, para as características de crescimento, foram utilizadas 4170, 1538, 3139, 1830 e 1151 observações de peso ao nascer (PN), peso ajustado aos 120 dias de idade (P120), peso ajustado aos 205 dias de idade (P205), peso ajustado aos 365 dias de idade (P365) e peso ajustado aos 550 dias (P550), de bovinos da raça Nelore nascidos no período de 2005 a 2011 em uma propriedade situada no município de Amaporã-PR. As médias estimadas para PN, P120, P205, P365 e P550, foram 38 kg, 138 kg, 201 kg, 270 kg e 376 kg, respectivamente. Os componentes de (co) variância utilizados para estimar as herdabilidades foram obtidos por meio do programa MTDFREML, o modelo utilizado considerou o efeito fixo do grupo de contemporâneos, o efeito da idade da vaca ao parto como covariável, além dos efeitos aleatórios genéticos aditivo direto e materno e o efeito de ambiente permanente. As correlações fenotípicas foram estimadas com o auxílio do procedimento PROC CORR do SAS. As herdabilidades estimadas para efeito genético direto e materno, respectivamente, para PN foram 0,17 ± 0,04 e 0,11 ± 0,03, para P120 foram 0,14 ± 0,03 e 0,03 ± 0,04, e para P205, 0,17 ± 0,04 e 0,09 ± 0,03, P365 foram 0,14 e 0,02, e para P550 foram 0,21 e 0,07. As correlações genéticas, fenotípicas e ambientais entre as características PN e P120 foram de 0,79, 0,44 e 0,32, entre PN e P205 foram 0,79, 0,39 e 0,26 e entre P120 e P205 foram 0,96, 0,74 e 0,75, respectivamente. Os resultados indicam que para o período pré-desmama, a seleção por peso seria mais eficiente para P205 e o alto valor das correlações genéticas estimadas indicam que, ao selecionar os animais para qualquer uma das características, ocorrerá resposta correlacionada positivamente para as demais. As correlações genéticas, fenotípicas e ambientais entre as características P365 e P550 foram 0,99, 0,75 e 0,76. Para o período pós-desmama é possível obter maior ganho genético quando a seleção é feita aos 550 dias de idade, e devido à alta correlação genética entre as características, a seleção em qualquer idade promoverá mudança no mesmo sentido na outra.UEL2017-06-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionartigo científicoapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/2643910.5433/1679-0359.2017v38n3p1513Semina: Ciências Agrárias; Vol. 38 No. 3 (2017); 1513-1520Semina: Ciências Agrárias; v. 38 n. 3 (2017); 1513-15201679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/26439/21105Copyright (c) 2017 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessKamei, Leandro MolinaRibeiro, Edson Luis de AzambujaFonseca, Nilva Aparecida NicolaoMuniz, Carolina Amália de Souza DantasCamiloti, Tatiane VitoKoritiaki, Natália AlbieriFortaleza, Ana Paula de Souza2022-10-24T13:55:37Zoai:ojs.pkp.sfu.ca:article/26439Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-10-24T13:55:37Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false |
dc.title.none.fl_str_mv |
Genetic parameters of growth traits in Nellore cattle Parâmetros genéticos de características de crescimento de bovinos na raça Nelore |
title |
Genetic parameters of growth traits in Nellore cattle |
spellingShingle |
Genetic parameters of growth traits in Nellore cattle Kamei, Leandro Molina Beef cattle Body weight Correlation Direct heritability Maternal heritability. Correlação Herdabilidade direta Herdabilidade materna Gado de corte Peso corporal. |
title_short |
Genetic parameters of growth traits in Nellore cattle |
title_full |
Genetic parameters of growth traits in Nellore cattle |
title_fullStr |
Genetic parameters of growth traits in Nellore cattle |
title_full_unstemmed |
Genetic parameters of growth traits in Nellore cattle |
title_sort |
Genetic parameters of growth traits in Nellore cattle |
author |
Kamei, Leandro Molina |
author_facet |
Kamei, Leandro Molina Ribeiro, Edson Luis de Azambuja Fonseca, Nilva Aparecida Nicolao Muniz, Carolina Amália de Souza Dantas Camiloti, Tatiane Vito Koritiaki, Natália Albieri Fortaleza, Ana Paula de Souza |
author_role |
author |
author2 |
Ribeiro, Edson Luis de Azambuja Fonseca, Nilva Aparecida Nicolao Muniz, Carolina Amália de Souza Dantas Camiloti, Tatiane Vito Koritiaki, Natália Albieri Fortaleza, Ana Paula de Souza |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Kamei, Leandro Molina Ribeiro, Edson Luis de Azambuja Fonseca, Nilva Aparecida Nicolao Muniz, Carolina Amália de Souza Dantas Camiloti, Tatiane Vito Koritiaki, Natália Albieri Fortaleza, Ana Paula de Souza |
dc.subject.por.fl_str_mv |
Beef cattle Body weight Correlation Direct heritability Maternal heritability. Correlação Herdabilidade direta Herdabilidade materna Gado de corte Peso corporal. |
topic |
Beef cattle Body weight Correlation Direct heritability Maternal heritability. Correlação Herdabilidade direta Herdabilidade materna Gado de corte Peso corporal. |
description |
This study evaluated non-genetic factors and calculated heritability estimates of direct and maternal effects for growth traits in Nellore cattle raised in southern Brazil. Performance records of 4170, 1538, 3139, 1830, and 1151 calves born from 2005 to 2011 were analyzed for birth weight (BW), adjusted120-day weight (W120), adjusted 205-day weight (W205), adjusted365-day weight (W365), and adjusted 550-day weight (W550), respectively. The components of (co)variance used to calculate heritability estimates were determined by Derivative-Free Restricted Maximum Likelihood using the MTDFREML software. Contemporary groups were included in the model as fixed effects, and direct and maternal effects, permanent environmental effects, and residual errors were included as random effects. Phenotypic correlations were estimated using the PROC CORR procedure from SAS. Overall means for BW, W120, W205, W365, and W550 were 38, 138, 201, 270, and 376 kg, respectively. Heritability estimates for direct and maternal effects were 0.17 ± 0.04 and 0.11 ± 0.03 (BW), 0.14 ± 0.03 and 0.03 ± 0.04 (W120), and 0.17 ± 0.04 and 0.09 ± 0.03 (W205). Genetic, phenotypic, and environmental correlations were 0.79, 0.44, and 0.32 for BW and W120, 0.79, 0.39, and 0.26 for BW and W205, and 0.96, 0.74, and 0.75 for W120 and W205. The results indicate that selection for pre-weaning weight would be more efficient using W205, and genetic correlation coefficients indicate that selection at any age should produce a positively correlated response at older ages. Genetic, phenotypic, and environmental correlation coefficients between W365 and W550 were 0.99, 0.75, and 0.76, respectively. Selection for adjusted 550-day weight should produce the greatest genetic gains. Genetic correlation coefficients between weight traits indicate that selection for weight at older ages, which could help reduce the number of weighings and increase accuracy of selection at younger ages, produces gains at older ages. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-06-13 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion artigo científico |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/26439 10.5433/1679-0359.2017v38n3p1513 |
url |
https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/26439 |
identifier_str_mv |
10.5433/1679-0359.2017v38n3p1513 |
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/26439/21105 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Semina: Ciências Agrárias http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 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. 38 No. 3 (2017); 1513-1520 Semina: Ciências Agrárias; v. 38 n. 3 (2017); 1513-1520 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_ |
1799306076403793920 |