Common factors method to predict the carcass composition tissue in kid goats
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/S1516-35982013000300007 http://hdl.handle.net/11449/14195 |
Resumo: | The objective of this work was to analyze the interrelations among weights and carcass measures of the longissimus lumborum muscle thickness and area, and of sternum tissue thickness, measured directly on carcass and by ultrasound scan. Measures were taken on live animals and after slaughter to develop models of multiple linear regression, to estimate the composition of shoulder blade, from selected variables in 89 kids of both genders and five breed groups, raised in feedlot system. The variables considered relevant and not redundant on the information they carry, for the common factor analysis, were used in the carcass composition estimate development models. The presuppositions of linear regression models relative to residues were evaluated, the estimated residues were subjected to analysis of variance and the means were compared by the Student t test. Based in these results, the group of 32 initial variables could be reduced to four variables: hot carcass weight, rump perimeter, leg length and tissue height at the fourth sternum bone. The analysis of common factors was shown as an effective technique to study the interrelations among the independent variables. The measures of carcass dimension, alone, did not add any information to hot carcass weight. The carcass muscle weight can be estimated with high precision from simple models, without the need for information related to gender and breed, and they could be built based on carcass weight, which makes it easy to be applied. The fat and bones estimate models were not as accurate. |
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Common factors method to predict the carcass composition tissue in kid goatsco-linearitycorrelationevaluationgoatregressionThe objective of this work was to analyze the interrelations among weights and carcass measures of the longissimus lumborum muscle thickness and area, and of sternum tissue thickness, measured directly on carcass and by ultrasound scan. Measures were taken on live animals and after slaughter to develop models of multiple linear regression, to estimate the composition of shoulder blade, from selected variables in 89 kids of both genders and five breed groups, raised in feedlot system. The variables considered relevant and not redundant on the information they carry, for the common factor analysis, were used in the carcass composition estimate development models. The presuppositions of linear regression models relative to residues were evaluated, the estimated residues were subjected to analysis of variance and the means were compared by the Student t test. Based in these results, the group of 32 initial variables could be reduced to four variables: hot carcass weight, rump perimeter, leg length and tissue height at the fourth sternum bone. The analysis of common factors was shown as an effective technique to study the interrelations among the independent variables. The measures of carcass dimension, alone, did not add any information to hot carcass weight. The carcass muscle weight can be estimated with high precision from simple models, without the need for information related to gender and breed, and they could be built based on carcass weight, which makes it easy to be applied. The fat and bones estimate models were not as accurate.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Universidade Federal de Mato GrossoUniversidade Estadual Paulista Júlio de Mesquita FilhoUniversidade Estadual Paulista Júlio de Mesquita FilhoSociedade Brasileira de ZootecniaUniversidade Federal de Mato GrossoUniversidade Estadual Paulista (Unesp)Gomes, Helen Fernanda BarrosGonçalves, Heraldo César [UNESP]Polizel Neto, AngeloCañizares, Gil Ignacio Lara [UNESP]Roça, Roberto de Oliveira [UNESP]Marques, Raquel Ornelas [UNESP]Oliveira, Giuliana Micai de [UNESP]Queiroz, Edicarlos Oliveira [UNESP]2013-09-30T20:12:50Z2014-05-20T13:40:54Z2013-09-30T20:12:50Z2014-05-20T13:40:54Z2013-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article193-203application/pdfhttp://dx.doi.org/10.1590/S1516-35982013000300007Revista Brasileira de Zootecnia. Sociedade Brasileira de Zootecnia, v. 42, n. 3, p. 193-203, 2013.1516-3598http://hdl.handle.net/11449/1419510.1590/S1516-35982013000300007S1516-35982013000300007WOS:000316123700007S1516-35982013000300007.pdf7787314478210146SciELOreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Brasileira de Zootecnia0,337info:eu-repo/semantics/openAccess2024-09-09T13:01:50Zoai:repositorio.unesp.br:11449/14195Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-09-09T13:01:50Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Common factors method to predict the carcass composition tissue in kid goats |
title |
Common factors method to predict the carcass composition tissue in kid goats |
spellingShingle |
Common factors method to predict the carcass composition tissue in kid goats Gomes, Helen Fernanda Barros co-linearity correlation evaluation goat regression |
title_short |
Common factors method to predict the carcass composition tissue in kid goats |
title_full |
Common factors method to predict the carcass composition tissue in kid goats |
title_fullStr |
Common factors method to predict the carcass composition tissue in kid goats |
title_full_unstemmed |
Common factors method to predict the carcass composition tissue in kid goats |
title_sort |
Common factors method to predict the carcass composition tissue in kid goats |
author |
Gomes, Helen Fernanda Barros |
author_facet |
Gomes, Helen Fernanda Barros Gonçalves, Heraldo César [UNESP] Polizel Neto, Angelo Cañizares, Gil Ignacio Lara [UNESP] Roça, Roberto de Oliveira [UNESP] Marques, Raquel Ornelas [UNESP] Oliveira, Giuliana Micai de [UNESP] Queiroz, Edicarlos Oliveira [UNESP] |
author_role |
author |
author2 |
Gonçalves, Heraldo César [UNESP] Polizel Neto, Angelo Cañizares, Gil Ignacio Lara [UNESP] Roça, Roberto de Oliveira [UNESP] Marques, Raquel Ornelas [UNESP] Oliveira, Giuliana Micai de [UNESP] Queiroz, Edicarlos Oliveira [UNESP] |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Mato Grosso Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Gomes, Helen Fernanda Barros Gonçalves, Heraldo César [UNESP] Polizel Neto, Angelo Cañizares, Gil Ignacio Lara [UNESP] Roça, Roberto de Oliveira [UNESP] Marques, Raquel Ornelas [UNESP] Oliveira, Giuliana Micai de [UNESP] Queiroz, Edicarlos Oliveira [UNESP] |
dc.subject.por.fl_str_mv |
co-linearity correlation evaluation goat regression |
topic |
co-linearity correlation evaluation goat regression |
description |
The objective of this work was to analyze the interrelations among weights and carcass measures of the longissimus lumborum muscle thickness and area, and of sternum tissue thickness, measured directly on carcass and by ultrasound scan. Measures were taken on live animals and after slaughter to develop models of multiple linear regression, to estimate the composition of shoulder blade, from selected variables in 89 kids of both genders and five breed groups, raised in feedlot system. The variables considered relevant and not redundant on the information they carry, for the common factor analysis, were used in the carcass composition estimate development models. The presuppositions of linear regression models relative to residues were evaluated, the estimated residues were subjected to analysis of variance and the means were compared by the Student t test. Based in these results, the group of 32 initial variables could be reduced to four variables: hot carcass weight, rump perimeter, leg length and tissue height at the fourth sternum bone. The analysis of common factors was shown as an effective technique to study the interrelations among the independent variables. The measures of carcass dimension, alone, did not add any information to hot carcass weight. The carcass muscle weight can be estimated with high precision from simple models, without the need for information related to gender and breed, and they could be built based on carcass weight, which makes it easy to be applied. The fat and bones estimate models were not as accurate. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-09-30T20:12:50Z 2013-09-30T20:12:50Z 2013-03-01 2014-05-20T13:40:54Z 2014-05-20T13:40:54Z |
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/S1516-35982013000300007 Revista Brasileira de Zootecnia. Sociedade Brasileira de Zootecnia, v. 42, n. 3, p. 193-203, 2013. 1516-3598 http://hdl.handle.net/11449/14195 10.1590/S1516-35982013000300007 S1516-35982013000300007 WOS:000316123700007 S1516-35982013000300007.pdf 7787314478210146 |
url |
http://dx.doi.org/10.1590/S1516-35982013000300007 http://hdl.handle.net/11449/14195 |
identifier_str_mv |
Revista Brasileira de Zootecnia. Sociedade Brasileira de Zootecnia, v. 42, n. 3, p. 193-203, 2013. 1516-3598 10.1590/S1516-35982013000300007 S1516-35982013000300007 WOS:000316123700007 S1516-35982013000300007.pdf 7787314478210146 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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 |
193-203 application/pdf |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Zootecnia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Zootecnia |
dc.source.none.fl_str_mv |
SciELO 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 |
repositoriounesp@unesp.br |
_version_ |
1813546609396416512 |