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

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dc.contributor.authorGomes, Helen Fernanda Barros
dc.contributor.authorGonçalves, Heraldo César [UNESP]
dc.contributor.authorPolizel Neto, Angelo
dc.contributor.authorCañizares, Gil Ignacio Lara [UNESP]
dc.contributor.authorRoça, Roberto de Oliveira [UNESP]
dc.contributor.authorMarques, Raquel Ornelas [UNESP]
dc.contributor.authorOliveira, Giuliana Micai de [UNESP]
dc.contributor.authorQueiroz, Edicarlos Oliveira [UNESP]
dc.contributor.institutionUniversidade Federal de Mato Grosso
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2013-09-30T20:12:50Z
dc.date.accessioned2014-05-20T13:40:54Z
dc.date.available2013-09-30T20:12:50Z
dc.date.available2014-05-20T13:40:54Z
dc.date.issued2013-03-01
dc.description.abstractThe 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.en
dc.description.affiliationUniversidade Federal de Mato Grosso
dc.description.affiliationUniversidade Estadual Paulista Júlio de Mesquita Filho
dc.description.affiliationUnespUniversidade Estadual Paulista Júlio de Mesquita Filho
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent193-203
dc.identifierhttp://dx.doi.org/10.1590/S1516-35982013000300007
dc.identifier.citationRevista Brasileira de Zootecnia. Sociedade Brasileira de Zootecnia, v. 42, n. 3, p. 193-203, 2013.
dc.identifier.doi10.1590/S1516-35982013000300007
dc.identifier.fileS1516-35982013000300007.pdf
dc.identifier.issn1516-3598
dc.identifier.lattes7787314478210146
dc.identifier.scieloS1516-35982013000300007
dc.identifier.urihttp://hdl.handle.net/11449/14195
dc.identifier.wosWOS:000316123700007
dc.language.isoeng
dc.publisherSociedade Brasileira de Zootecnia
dc.relation.ispartofRevista Brasileira de Zootecnia
dc.relation.ispartofsjr0,337
dc.rights.accessRightsAcesso aberto
dc.sourceSciELO
dc.subjectco-linearityen
dc.subjectcorrelationen
dc.subjectevaluationen
dc.subjectgoaten
dc.subjectregressionen
dc.titleCommon factors method to predict the carcass composition tissue in kid goatsen
dc.typeArtigo
unesp.author.lattes7787314478210146
unesp.author.orcid0000-0002-1776-2066[5]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências Agronômicas, Botucatupt
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Medicina Veterinária e Zootecnia, Botucatupt
unesp.departmentEconomia, Sociologia e Tecnologia - FCApt

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Artigos - Produção Animal - FMVZ
Botucatu - FCA - Faculdade de Ciências Agronômicas