Avaliação de carcaças de suínos da raça large white utilizando medidas convencionais
Autor(a) principal: | |
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Data de Publicação: | 2004 |
Outros Autores: | , , |
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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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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1808128918316646400 |