Common factors method to predict the carcass composition tissue in kid goats

Detalhes bibliográficos
Autor(a) principal: Gomes, Helen Fernanda Barros
Data de Publicação: 2013
Outros Autores: 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]
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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spelling 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
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