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
Autor(a) principal: | |
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Data de Publicação: | 1991 |
Outros Autores: | , |
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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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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 |
status_str |
publishedVersion |
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 |
instacron_str |
RCAAP |
institution |
RCAAP |
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 |
repository.mail.fl_str_mv |
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1799135143544225792 |