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Interrelationships among predictors of lamb carcass composition

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Resumo:The objective of th is study was to identify a reduced set of variables from an original data set of 18 carcass measurements in order to avoid redundancy, collinearity problems, and to simplify the development of models to predict lambs carcass composition. One hundred and twenty-six lambs, 86 mules and 40 females, of Churra Galega Bragançana Portuguese local breed were slaughtered, and carcasses were weighed (HCW) approximately 30 min after exsanguination. After cooling at 4°C tor 24 ha set of seventeen carcass measurements were recorded, and data interrelationships were analysed following the common factor analysis procedure. All variables were highly and positively correlated with HCW (r > 0.46), being especially high in the carcass dimensions measurements (r > 0.75). Subcutaneous fat thickness measurements were highly and positively correlated (r > 0.58) with breast bone tissues thickness measurements. Three common factors (factor I =carcass weight; factor 11 = subcutaneous fat thickness; factor Ill = breast bone tissues thickness) were retained, and accounted for 83.5% of the variation in the original variables. This study demonstrates that common factors analysis can be used to condense the information given by large sets of variables, allowing selecting a reduced number of variables, which contributes to reduce collinearity problems, and to simplify the development of models to predict lamb carcass composition
Autores principais:Cadavez, Vasco
Assunto:Carcass Lambs Composition Common factors
Ano:2008
País:Portugal
Tipo de documento:documento de conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Cadavez, Vasco
author_facet Cadavez, Vasco
author_role author
contributor_name_str_mv Biblioteca Digital do IPB
country_str PT
creators_json_txt [{\"Person.name\":\"Cadavez, Vasco\",\"Person.identifier.orcid\":\"0000-0002-3077-7414\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Cadavez, Vasco
datacite.date.Accepted.fl_str_mv 2008-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2012-09-14T10:51:00Z
datacite.date.embargoed.fl_str_mv 2012-09-14T10:51:00Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Carcass
Lambs
Composition
Common factors
datacite.titles.title.fl_str_mv Interrelationships among predictors of lamb carcass composition
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Cadavez, Vasco
dc.date.Accepted.fl_str_mv 2008-01-01T00:00:00Z
dc.date.available.fl_str_mv 2012-09-14T10:51:00Z
dc.date.embargoed.fl_str_mv 2012-09-14T10:51:00Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/7557
dc.language.none.fl_str_mv eng
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Carcass
Lambs
Composition
Common factors
dc.title.fl_str_mv Interrelationships among predictors of lamb carcass composition
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_c94f
description The objective of th is study was to identify a reduced set of variables from an original data set of 18 carcass measurements in order to avoid redundancy, collinearity problems, and to simplify the development of models to predict lambs carcass composition. One hundred and twenty-six lambs, 86 mules and 40 females, of Churra Galega Bragançana Portuguese local breed were slaughtered, and carcasses were weighed (HCW) approximately 30 min after exsanguination. After cooling at 4°C tor 24 ha set of seventeen carcass measurements were recorded, and data interrelationships were analysed following the common factor analysis procedure. All variables were highly and positively correlated with HCW (r > 0.46), being especially high in the carcass dimensions measurements (r > 0.75). Subcutaneous fat thickness measurements were highly and positively correlated (r > 0.58) with breast bone tissues thickness measurements. Three common factors (factor I =carcass weight; factor 11 = subcutaneous fat thickness; factor Ill = breast bone tissues thickness) were retained, and accounted for 83.5% of the variation in the original variables. This study demonstrates that common factors analysis can be used to condense the information given by large sets of variables, allowing selecting a reduced number of variables, which contributes to reduce collinearity problems, and to simplify the development of models to predict lamb carcass composition
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person_str_mv Cadavez, Vasco
Cadavez, Vasco
https://www.ciencia-id.pt/441B-01AB-A12E
441B-01AB-A12E
http://orcid.org/0000-0002-3077-7414
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publishDate 2008
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spelling engporThe objective of th is study was to identify a reduced set of variables from an original data set of 18 carcass measurements in order to avoid redundancy, collinearity problems, and to simplify the development of models to predict lambs carcass composition. One hundred and twenty-six lambs, 86 mules and 40 females, of Churra Galega Bragançana Portuguese local breed were slaughtered, and carcasses were weighed (HCW) approximately 30 min after exsanguination. After cooling at 4°C tor 24 ha set of seventeen carcass measurements were recorded, and data interrelationships were analysed following the common factor analysis procedure. All variables were highly and positively correlated with HCW (r > 0.46), being especially high in the carcass dimensions measurements (r > 0.75). Subcutaneous fat thickness measurements were highly and positively correlated (r > 0.58) with breast bone tissues thickness measurements. Three common factors (factor I =carcass weight; factor 11 = subcutaneous fat thickness; factor Ill = breast bone tissues thickness) were retained, and accounted for 83.5% of the variation in the original variables. This study demonstrates that common factors analysis can be used to condense the information given by large sets of variables, allowing selecting a reduced number of variables, which contributes to reduce collinearity problems, and to simplify the development of models to predict lamb carcass compositionapplication/pdfporInterrelationships among predictors of lamb carcass compositionPersonalCadavez, VascoDSpacehttp://dspace.org/items/57b410e9-f6b7-42ff-ab3d-b526278715ebDSpacehttp://dspace.org/items/57b410e9-f6b7-42ff-ab3d-b526278715ebCadavezVascoCiência IDhttps://www.ciencia-id.pt441B-01AB-A12EORCIDhttp://orcid.org0000-0002-3077-7414Researcher IDhttps://www.researcherid.comA-3958-2010Scopus Author IDhttps://www.scopus.com9039121900HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISBNIsPartOf978-90-8686-074-6ISSNIsPartOf1382-60772012-09-14T10:51:00Z20082008-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/7557http://purl.org/coar/access_right/c_abf2open accessCarcassLambsCompositionCommon factors1159912 bytesother research producthttp://purl.org/coar/resource_type/c_c94fconference objecthttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/f92a780c-97a1-45e8-93d7-3215a0882e9e/download59th Annual Meeting of the EAAP14187Vilnius, Lithuania
spellingShingle Interrelationships among predictors of lamb carcass composition
Cadavez, Vasco
Carcass
Lambs
Composition
Common factors
status SINGLETON
subject.fl_str_mv Carcass
Lambs
Composition
Common factors
title Interrelationships among predictors of lamb carcass composition
title_full Interrelationships among predictors of lamb carcass composition
title_fullStr Interrelationships among predictors of lamb carcass composition
title_full_unstemmed Interrelationships among predictors of lamb carcass composition
title_short Interrelationships among predictors of lamb carcass composition
title_sort Interrelationships among predictors of lamb carcass composition
topic Carcass
Lambs
Composition
Common factors
topic_facet Carcass
Lambs
Composition
Common factors
url http://hdl.handle.net/10198/7557
visible 1