Cold carcass weight, fat thickness, C measurement and longissimus dorsi depth for predicting the carcass composition of Rasa Aragonesa ewes with different body condition score

Detalhes bibliográficos
Autor(a) principal: Delfa, Rafael
Data de Publicação: 1991
Outros Autores: Teixeira, Alfredo, Colomer-Rocher, F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10198/810
Resumo: The precision of the use of cold carcass weight, fat thickness, C measurement and longissimus dorsi depth for predicting the carcass composition were determined in 52 adult Rasa Aragonesa ewes aged 10 (s.d. 2) years and ranging in body condition score (BCS) front 1.5 to 4.5. The cold carcass weight is the best predictor of intermuscular fat (1'=0.94) and the inclusion of the C measurement in multiple regression with the cold carcass weight estimates with accuracy the subcutaneous fat (r2=0.91). The pelvic and kidney fat can be predicted with the same precision by cold carcass weight in multiple regression with fat thickness or BCS (r2=0.86). 95% of the variation in total carcass fat was accounted for by variation in cold carcass weight and fat thickness. The best muscle carcass predictors were cold carcass weight in multiple regression with fat thickness or C measurement (r2=0.91).
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spelling Cold carcass weight, fat thickness, C measurement and longissimus dorsi depth for predicting the carcass composition of Rasa Aragonesa ewes with different body condition scoreThe precision of the use of cold carcass weight, fat thickness, C measurement and longissimus dorsi depth for predicting the carcass composition were determined in 52 adult Rasa Aragonesa ewes aged 10 (s.d. 2) years and ranging in body condition score (BCS) front 1.5 to 4.5. The cold carcass weight is the best predictor of intermuscular fat (1'=0.94) and the inclusion of the C measurement in multiple regression with the cold carcass weight estimates with accuracy the subcutaneous fat (r2=0.91). The pelvic and kidney fat can be predicted with the same precision by cold carcass weight in multiple regression with fat thickness or BCS (r2=0.86). 95% of the variation in total carcass fat was accounted for by variation in cold carcass weight and fat thickness. The best muscle carcass predictors were cold carcass weight in multiple regression with fat thickness or C measurement (r2=0.91).CIHEAMBiblioteca Digital do IPBDelfa, RafaelTeixeira, AlfredoColomer-Rocher, F.2008-09-12T10:28:30Z19911991-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/810engOptions Méditerraniennes. (1991) p. 19-24info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-21T10:03:55Zoai:bibliotecadigital.ipb.pt:10198/810Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:54:27.810547Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Cold carcass weight, fat thickness, C measurement and longissimus dorsi depth for predicting the carcass composition of Rasa Aragonesa ewes with different body condition score
title Cold carcass weight, fat thickness, C measurement and longissimus dorsi depth for predicting the carcass composition of Rasa Aragonesa ewes with different body condition score
spellingShingle Cold carcass weight, fat thickness, C measurement and longissimus dorsi depth for predicting the carcass composition of Rasa Aragonesa ewes with different body condition score
Delfa, Rafael
title_short Cold carcass weight, fat thickness, C measurement and longissimus dorsi depth for predicting the carcass composition of Rasa Aragonesa ewes with different body condition score
title_full Cold carcass weight, fat thickness, C measurement and longissimus dorsi depth for predicting the carcass composition of Rasa Aragonesa ewes with different body condition score
title_fullStr Cold carcass weight, fat thickness, C measurement and longissimus dorsi depth for predicting the carcass composition of Rasa Aragonesa ewes with different body condition score
title_full_unstemmed Cold carcass weight, fat thickness, C measurement and longissimus dorsi depth for predicting the carcass composition of Rasa Aragonesa ewes with different body condition score
title_sort Cold carcass weight, fat thickness, C measurement and longissimus dorsi depth for predicting the carcass composition of Rasa Aragonesa ewes with different body condition score
author Delfa, Rafael
author_facet Delfa, Rafael
Teixeira, Alfredo
Colomer-Rocher, F.
author_role author
author2 Teixeira, Alfredo
Colomer-Rocher, F.
author2_role author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Delfa, Rafael
Teixeira, Alfredo
Colomer-Rocher, F.
description The precision of the use of cold carcass weight, fat thickness, C measurement and longissimus dorsi depth for predicting the carcass composition were determined in 52 adult Rasa Aragonesa ewes aged 10 (s.d. 2) years and ranging in body condition score (BCS) front 1.5 to 4.5. The cold carcass weight is the best predictor of intermuscular fat (1'=0.94) and the inclusion of the C measurement in multiple regression with the cold carcass weight estimates with accuracy the subcutaneous fat (r2=0.91). The pelvic and kidney fat can be predicted with the same precision by cold carcass weight in multiple regression with fat thickness or BCS (r2=0.86). 95% of the variation in total carcass fat was accounted for by variation in cold carcass weight and fat thickness. The best muscle carcass predictors were cold carcass weight in multiple regression with fat thickness or C measurement (r2=0.91).
publishDate 1991
dc.date.none.fl_str_mv 1991
1991-01-01T00:00:00Z
2008-09-12T10:28:30Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/810
url http://hdl.handle.net/10198/810
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Options Méditerraniennes. (1991) p. 19-24
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CIHEAM
publisher.none.fl_str_mv CIHEAM
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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