Estimates of genetic parameters and cluster analyses for carcass and meat quality traits in birds
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/S0100-204X2017000300008 http://hdl.handle.net/11449/162777 |
Resumo: | The objective of this work was to estimate genetic parameters for bird carcass and meat quality traits, as well as to explore the genetic patterns of the breeding values of this population using cluster analyses. Data from 1,846 birds were used to estimate the genetic parameters of production and quality traits using the multiple-trait animal model, and cluster analyses were performed. The heritability estimates ranged from 0.08 +/- 0.03 for meat pH measured 24 hours after slaughter to 0.85 +/- 0.09 for body weight. The genetic correlations between production traits were high and positive. The genetic correlations between meat quality traits were low and were not informative due to the high standard errors (same magnitudes as those of the genetic correlations). The genetic correlations between meat production and quality traits were negative, except between production traits and meat lightness intensity. Based on breeding values (EBVs), the evaluated population can be divided into four groups through cluster analyses, and one group is suitable for selection because the birds presented EBVs above and around the average of the population, respectively, for production and quality traits. Therefore, it is possible to obtain genetic gains for production-related traits without decreasing meat quality. |
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Repositório Institucional da UNESP |
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Estimates of genetic parameters and cluster analyses for carcass and meat quality traits in birdsgenetic correlationheritabilitymeat colorWhite LeghornThe objective of this work was to estimate genetic parameters for bird carcass and meat quality traits, as well as to explore the genetic patterns of the breeding values of this population using cluster analyses. Data from 1,846 birds were used to estimate the genetic parameters of production and quality traits using the multiple-trait animal model, and cluster analyses were performed. The heritability estimates ranged from 0.08 +/- 0.03 for meat pH measured 24 hours after slaughter to 0.85 +/- 0.09 for body weight. The genetic correlations between production traits were high and positive. The genetic correlations between meat quality traits were low and were not informative due to the high standard errors (same magnitudes as those of the genetic correlations). The genetic correlations between meat production and quality traits were negative, except between production traits and meat lightness intensity. Based on breeding values (EBVs), the evaluated population can be divided into four groups through cluster analyses, and one group is suitable for selection because the birds presented EBVs above and around the average of the population, respectively, for production and quality traits. Therefore, it is possible to obtain genetic gains for production-related traits without decreasing meat quality.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Univ Estadual Paulista, Fac Ciencias Agr & Vet, Dept Ciencias Exatas, Via Acesso Prof Paulo Donato Castellane S-No, BR-14884900 Jaboticabal, SP, BrazilEmbrapa Suinos & Aves, Rodovia BR-153,Km 110,Caixa Postal 321, BR-89715899 Concordia, SC, BrazilUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Ciencias Exatas, Via Acesso Prof Paulo Donato Castellane S-No, BR-14884900 Jaboticabal, SP, BrazilEmpresa Brasil Pesq AgropecUniversidade Estadual Paulista (Unesp)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Bainy, Adriane Molardi [UNESP]Savegnago, Rodrigo Pelicioni [UNESP]Freitas, Luara Afonso de [UNESP]Nunes, Beatriz do Nascimento [UNESP]Rosa, Jaqueline Oliveira [UNESP]Ledur, Monica CorreaMunari, Danisio Prado [UNESP]2018-11-26T17:31:20Z2018-11-26T17:31:20Z2017-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article205-213application/pdfhttp://dx.doi.org/10.1590/S0100-204X2017000300008Pesquisa Agropecuaria Brasileira. Brasilia Df: Empresa Brasil Pesq Agropec, v. 52, n. 3, p. 205-213, 2017.0100-204Xhttp://hdl.handle.net/11449/16277710.1590/S0100-204X2017000300008S0100-204X2017000300205WOS:000400987800008S0100-204X2017000300205.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPesquisa Agropecuaria Brasileirainfo:eu-repo/semantics/openAccess2024-06-06T13:43:58Zoai:repositorio.unesp.br:11449/162777Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:47:36.081168Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Estimates of genetic parameters and cluster analyses for carcass and meat quality traits in birds |
title |
Estimates of genetic parameters and cluster analyses for carcass and meat quality traits in birds |
spellingShingle |
Estimates of genetic parameters and cluster analyses for carcass and meat quality traits in birds Estimates of genetic parameters and cluster analyses for carcass and meat quality traits in birds Bainy, Adriane Molardi [UNESP] genetic correlation heritability meat color White Leghorn Bainy, Adriane Molardi [UNESP] genetic correlation heritability meat color White Leghorn |
title_short |
Estimates of genetic parameters and cluster analyses for carcass and meat quality traits in birds |
title_full |
Estimates of genetic parameters and cluster analyses for carcass and meat quality traits in birds |
title_fullStr |
Estimates of genetic parameters and cluster analyses for carcass and meat quality traits in birds Estimates of genetic parameters and cluster analyses for carcass and meat quality traits in birds |
title_full_unstemmed |
Estimates of genetic parameters and cluster analyses for carcass and meat quality traits in birds Estimates of genetic parameters and cluster analyses for carcass and meat quality traits in birds |
title_sort |
Estimates of genetic parameters and cluster analyses for carcass and meat quality traits in birds |
author |
Bainy, Adriane Molardi [UNESP] |
author_facet |
Bainy, Adriane Molardi [UNESP] Bainy, Adriane Molardi [UNESP] Savegnago, Rodrigo Pelicioni [UNESP] Freitas, Luara Afonso de [UNESP] Nunes, Beatriz do Nascimento [UNESP] Rosa, Jaqueline Oliveira [UNESP] Ledur, Monica Correa Munari, Danisio Prado [UNESP] Savegnago, Rodrigo Pelicioni [UNESP] Freitas, Luara Afonso de [UNESP] Nunes, Beatriz do Nascimento [UNESP] Rosa, Jaqueline Oliveira [UNESP] Ledur, Monica Correa Munari, Danisio Prado [UNESP] |
author_role |
author |
author2 |
Savegnago, Rodrigo Pelicioni [UNESP] Freitas, Luara Afonso de [UNESP] Nunes, Beatriz do Nascimento [UNESP] Rosa, Jaqueline Oliveira [UNESP] Ledur, Monica Correa Munari, Danisio Prado [UNESP] |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) |
dc.contributor.author.fl_str_mv |
Bainy, Adriane Molardi [UNESP] Savegnago, Rodrigo Pelicioni [UNESP] Freitas, Luara Afonso de [UNESP] Nunes, Beatriz do Nascimento [UNESP] Rosa, Jaqueline Oliveira [UNESP] Ledur, Monica Correa Munari, Danisio Prado [UNESP] |
dc.subject.por.fl_str_mv |
genetic correlation heritability meat color White Leghorn |
topic |
genetic correlation heritability meat color White Leghorn |
description |
The objective of this work was to estimate genetic parameters for bird carcass and meat quality traits, as well as to explore the genetic patterns of the breeding values of this population using cluster analyses. Data from 1,846 birds were used to estimate the genetic parameters of production and quality traits using the multiple-trait animal model, and cluster analyses were performed. The heritability estimates ranged from 0.08 +/- 0.03 for meat pH measured 24 hours after slaughter to 0.85 +/- 0.09 for body weight. The genetic correlations between production traits were high and positive. The genetic correlations between meat quality traits were low and were not informative due to the high standard errors (same magnitudes as those of the genetic correlations). The genetic correlations between meat production and quality traits were negative, except between production traits and meat lightness intensity. Based on breeding values (EBVs), the evaluated population can be divided into four groups through cluster analyses, and one group is suitable for selection because the birds presented EBVs above and around the average of the population, respectively, for production and quality traits. Therefore, it is possible to obtain genetic gains for production-related traits without decreasing meat quality. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-03-01 2018-11-26T17:31:20Z 2018-11-26T17:31:20Z |
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/10.1590/S0100-204X2017000300008 Pesquisa Agropecuaria Brasileira. Brasilia Df: Empresa Brasil Pesq Agropec, v. 52, n. 3, p. 205-213, 2017. 0100-204X http://hdl.handle.net/11449/162777 10.1590/S0100-204X2017000300008 S0100-204X2017000300205 WOS:000400987800008 S0100-204X2017000300205.pdf |
url |
http://dx.doi.org/10.1590/S0100-204X2017000300008 http://hdl.handle.net/11449/162777 |
identifier_str_mv |
Pesquisa Agropecuaria Brasileira. Brasilia Df: Empresa Brasil Pesq Agropec, v. 52, n. 3, p. 205-213, 2017. 0100-204X 10.1590/S0100-204X2017000300008 S0100-204X2017000300205 WOS:000400987800008 S0100-204X2017000300205.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
205-213 application/pdf |
dc.publisher.none.fl_str_mv |
Empresa Brasil Pesq Agropec |
publisher.none.fl_str_mv |
Empresa Brasil Pesq Agropec |
dc.source.none.fl_str_mv |
Web of Science 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_ |
1822182544068575232 |
dc.identifier.doi.none.fl_str_mv |
10.1590/S0100-204X2017000300008 |