Avaliação de carcaças de suínos da raça large white utilizando medidas convencionais

Detalhes bibliográficos
Autor(a) principal: De Freitas, Rilke Tadeu Fonseca
Data de Publicação: 2004
Outros Autores: De Gonçalves, Tarcísio Moraes [UNESP], De Oliveira, Antonio Ilson Gomes, Ferreira, Daniel Furtado
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/S1516-35982004000800015
http://hdl.handle.net/11449/67930
Resumo: To establish the measures that best define the quality of the carcass of swine, data of lean meat yield (MY), fat yield (FY), dressing percentage (DP), carcass length for the Brazilian Method ofCarcass Classification (CLBM). carcass length for the American Method of Carcass Classification (CLAM), average backfat thickness (ABT), backfat thickness 4 cm from the dorsal mid-line (P 1). backfat thickness 6.5 cm from the dorsal mid-line (P 2), backfat thickness 8 cm from the dorsal mid-line (P 3), loin eye area (LEA), lean:fat ratio (LFR) and ham yield (HY) were used, obtained in 664 Large White swine. Initially, in order to make clear the importance and possible relations structures among variables, the cluster analysis was used. Afterwards, the multiple regression linear model was used, using the SAS package. Firstly, it was estimated the partial correlation (Type II) of each trait to evaluate the importance of the quality variables of the carcass. Secondly, a procedure of adjusting equation selection named Backward was used. It was verified that, except for DP, all the measures of carcass classification evaluated presented correlation with MY and FY. The measures ABT, P 1. P 2, P 3 and LFT were inversely correlated with MY and directly correlated with FY. The opposite was observed for the measures CLBM. CLAM, LEA and IIY. ABT, AOL. RCG and RP are just enough to evaluate the quality of the carcass in terms of lean meat yield, and, in terms of FY. besides these measured previous it's necessary the evaluation of P 1. The measures of loin eye area and average backfat thickness, as proposed by MBCC. shown as being what best evaluates the amount of meat and fat in the carcass.
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spelling Avaliação de carcaças de suínos da raça large white utilizando medidas convencionaisEvaluation of large white pig carcass using conventional measuresCluster analysisCorrelationMeat and fat yieldPieris brassicaeSus scrofaTo establish the measures that best define the quality of the carcass of swine, data of lean meat yield (MY), fat yield (FY), dressing percentage (DP), carcass length for the Brazilian Method ofCarcass Classification (CLBM). carcass length for the American Method of Carcass Classification (CLAM), average backfat thickness (ABT), backfat thickness 4 cm from the dorsal mid-line (P 1). backfat thickness 6.5 cm from the dorsal mid-line (P 2), backfat thickness 8 cm from the dorsal mid-line (P 3), loin eye area (LEA), lean:fat ratio (LFR) and ham yield (HY) were used, obtained in 664 Large White swine. Initially, in order to make clear the importance and possible relations structures among variables, the cluster analysis was used. Afterwards, the multiple regression linear model was used, using the SAS package. Firstly, it was estimated the partial correlation (Type II) of each trait to evaluate the importance of the quality variables of the carcass. Secondly, a procedure of adjusting equation selection named Backward was used. It was verified that, except for DP, all the measures of carcass classification evaluated presented correlation with MY and FY. The measures ABT, P 1. P 2, P 3 and LFT were inversely correlated with MY and directly correlated with FY. The opposite was observed for the measures CLBM. CLAM, LEA and IIY. ABT, AOL. RCG and RP are just enough to evaluate the quality of the carcass in terms of lean meat yield, and, in terms of FY. besides these measured previous it's necessary the evaluation of P 1. The measures of loin eye area and average backfat thickness, as proposed by MBCC. shown as being what best evaluates the amount of meat and fat in the carcass.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)DZO UFLA, CP 37, 37200-000 - Lavras, MGDZO UFLA Doutorando - UNESP Botucatu Bolsista CNPqTitular Aposentado UFLADEX UFLADZO UFLA Doutorando - UNESP Botucatu Bolsista CNPqUniversidade Federal de Lavras (UFLA)Universidade Estadual Paulista (Unesp)De Freitas, Rilke Tadeu FonsecaDe Gonçalves, Tarcísio Moraes [UNESP]De Oliveira, Antonio Ilson GomesFerreira, Daniel Furtado2014-05-27T11:21:11Z2014-05-27T11:21:11Z2004-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2037-2043application/pdfhttp://dx.doi.org/10.1590/S1516-35982004000800015Revista Brasileira de Zootecnia, v. 33, n. 6 SUPPL. 2, p. 2037-2043, 2004.1516-3598http://hdl.handle.net/11449/6793010.1590/S1516-35982004000800015S1516-359820040008000152-s2.0-315444670722-s2.0-31544467072.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporRevista Brasileira de Zootecnia0,337info:eu-repo/semantics/openAccess2023-11-21T06:09:33Zoai:repositorio.unesp.br:11449/67930Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:17:37.855065Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Avaliação de carcaças de suínos da raça large white utilizando medidas convencionais
Evaluation of large white pig carcass using conventional measures
title Avaliação de carcaças de suínos da raça large white utilizando medidas convencionais
spellingShingle Avaliação de carcaças de suínos da raça large white utilizando medidas convencionais
De Freitas, Rilke Tadeu Fonseca
Cluster analysis
Correlation
Meat and fat yield
Pieris brassicae
Sus scrofa
title_short Avaliação de carcaças de suínos da raça large white utilizando medidas convencionais
title_full Avaliação de carcaças de suínos da raça large white utilizando medidas convencionais
title_fullStr Avaliação de carcaças de suínos da raça large white utilizando medidas convencionais
title_full_unstemmed Avaliação de carcaças de suínos da raça large white utilizando medidas convencionais
title_sort Avaliação de carcaças de suínos da raça large white utilizando medidas convencionais
author De Freitas, Rilke Tadeu Fonseca
author_facet De Freitas, Rilke Tadeu Fonseca
De Gonçalves, Tarcísio Moraes [UNESP]
De Oliveira, Antonio Ilson Gomes
Ferreira, Daniel Furtado
author_role author
author2 De Gonçalves, Tarcísio Moraes [UNESP]
De Oliveira, Antonio Ilson Gomes
Ferreira, Daniel Furtado
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Federal de Lavras (UFLA)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv De Freitas, Rilke Tadeu Fonseca
De Gonçalves, Tarcísio Moraes [UNESP]
De Oliveira, Antonio Ilson Gomes
Ferreira, Daniel Furtado
dc.subject.por.fl_str_mv Cluster analysis
Correlation
Meat and fat yield
Pieris brassicae
Sus scrofa
topic Cluster analysis
Correlation
Meat and fat yield
Pieris brassicae
Sus scrofa
description To establish the measures that best define the quality of the carcass of swine, data of lean meat yield (MY), fat yield (FY), dressing percentage (DP), carcass length for the Brazilian Method ofCarcass Classification (CLBM). carcass length for the American Method of Carcass Classification (CLAM), average backfat thickness (ABT), backfat thickness 4 cm from the dorsal mid-line (P 1). backfat thickness 6.5 cm from the dorsal mid-line (P 2), backfat thickness 8 cm from the dorsal mid-line (P 3), loin eye area (LEA), lean:fat ratio (LFR) and ham yield (HY) were used, obtained in 664 Large White swine. Initially, in order to make clear the importance and possible relations structures among variables, the cluster analysis was used. Afterwards, the multiple regression linear model was used, using the SAS package. Firstly, it was estimated the partial correlation (Type II) of each trait to evaluate the importance of the quality variables of the carcass. Secondly, a procedure of adjusting equation selection named Backward was used. It was verified that, except for DP, all the measures of carcass classification evaluated presented correlation with MY and FY. The measures ABT, P 1. P 2, P 3 and LFT were inversely correlated with MY and directly correlated with FY. The opposite was observed for the measures CLBM. CLAM, LEA and IIY. ABT, AOL. RCG and RP are just enough to evaluate the quality of the carcass in terms of lean meat yield, and, in terms of FY. besides these measured previous it's necessary the evaluation of P 1. The measures of loin eye area and average backfat thickness, as proposed by MBCC. shown as being what best evaluates the amount of meat and fat in the carcass.
publishDate 2004
dc.date.none.fl_str_mv 2004-11-01
2014-05-27T11:21:11Z
2014-05-27T11:21:11Z
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/S1516-35982004000800015
Revista Brasileira de Zootecnia, v. 33, n. 6 SUPPL. 2, p. 2037-2043, 2004.
1516-3598
http://hdl.handle.net/11449/67930
10.1590/S1516-35982004000800015
S1516-35982004000800015
2-s2.0-31544467072
2-s2.0-31544467072.pdf
url http://dx.doi.org/10.1590/S1516-35982004000800015
http://hdl.handle.net/11449/67930
identifier_str_mv Revista Brasileira de Zootecnia, v. 33, n. 6 SUPPL. 2, p. 2037-2043, 2004.
1516-3598
10.1590/S1516-35982004000800015
S1516-35982004000800015
2-s2.0-31544467072
2-s2.0-31544467072.pdf
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Revista Brasileira de Zootecnia
0,337
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 2037-2043
application/pdf
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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