Genetic parameters of growth traits in Nellore cattle

Detalhes bibliográficos
Autor(a) principal: Kamei, Leandro Molina
Data de Publicação: 2017
Outros Autores: 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
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.
id UEL-11_3b5c583c5c9e3244bcce501da50cf3ad
oai_identifier_str oai:ojs.pkp.sfu.ca:article/26439
network_acronym_str UEL-11
network_name_str Semina. Ciências Agrárias (Online)
repository_id_str
spelling 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