Simultaneously prediction of sheep and goat carcass composition and body fat depots using in vivo ultrasound measurements and live weight

Detalhes bibliográficos
Autor(a) principal: Dias, L.G.
Data de Publicação: 2018
Outros Autores: Silva, Severiano, Teixeira, Alfredo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10198/14799
Resumo: The present study established multiple linear regression models using two ultrasound in vivo measurements (at lumbar and sternal regions, with different real-time ultrasonography machines and probes) and live weight, to predict simultaneously carcass composition and body fat depots of different breeds of sheep and goat. This study is important for the small ruminant industry, considering the feasibility of using the ultrasound methodology in field conditions, as well as an online system of the carcass evaluation. The multiple linear regression models were obtained by selecting the best subset of variables between using the in vivo measurements (raw variables), their second degree and interactions, evaluated in terms of prediction performance using cross-validation “K-folds” and validated by a test group. Overall, high accuracy (adj R2) was obtained from the linear relationship between predicted and experimental values of the group test for each of the nine dependent variables, with values varying between adj R2 0.88 and 0.98.
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spelling Simultaneously prediction of sheep and goat carcass composition and body fat depots using in vivo ultrasound measurements and live weightBody fat depotsCarcass compositionGoat breedsIn vivo ultrasound measurementsPredictive modelsSheep breedsThe present study established multiple linear regression models using two ultrasound in vivo measurements (at lumbar and sternal regions, with different real-time ultrasonography machines and probes) and live weight, to predict simultaneously carcass composition and body fat depots of different breeds of sheep and goat. This study is important for the small ruminant industry, considering the feasibility of using the ultrasound methodology in field conditions, as well as an online system of the carcass evaluation. The multiple linear regression models were obtained by selecting the best subset of variables between using the in vivo measurements (raw variables), their second degree and interactions, evaluated in terms of prediction performance using cross-validation “K-folds” and validated by a test group. Overall, high accuracy (adj R2) was obtained from the linear relationship between predicted and experimental values of the group test for each of the nine dependent variables, with values varying between adj R2 0.88 and 0.98.The authors are grateful to Laboratory of Carcass and Meat Quality of Agriculture School of Polytechnic Institute of Bragança ‘Cantinho do Alfredo’. The authors are members of the CYTED network HEALTHY MEAT (119RT0568).Biblioteca Digital do IPBDias, L.G.Silva, SeverianoTeixeira, Alfredo2018-01-19T10:00:00Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/14799engDias, Luís G.; Silva, Severiano R.; Teixeira, Alfredo (2020). Simultaneously prediction of sheep and goat carcass composition and body fat depots using in vivo ultrasound measurements and live weight. Research in Veterinary Science. ISSN 0034-5288. 133, p. 180-1870034-528810.1016/j.rvsc.2020.09.024info: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:RCAAP2023-11-21T10:52:31Zoai:bibliotecadigital.ipb.pt:10198/14799Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:14:30.366650Repositório 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 Simultaneously prediction of sheep and goat carcass composition and body fat depots using in vivo ultrasound measurements and live weight
title Simultaneously prediction of sheep and goat carcass composition and body fat depots using in vivo ultrasound measurements and live weight
spellingShingle Simultaneously prediction of sheep and goat carcass composition and body fat depots using in vivo ultrasound measurements and live weight
Dias, L.G.
Body fat depots
Carcass composition
Goat breeds
In vivo ultrasound measurements
Predictive models
Sheep breeds
title_short Simultaneously prediction of sheep and goat carcass composition and body fat depots using in vivo ultrasound measurements and live weight
title_full Simultaneously prediction of sheep and goat carcass composition and body fat depots using in vivo ultrasound measurements and live weight
title_fullStr Simultaneously prediction of sheep and goat carcass composition and body fat depots using in vivo ultrasound measurements and live weight
title_full_unstemmed Simultaneously prediction of sheep and goat carcass composition and body fat depots using in vivo ultrasound measurements and live weight
title_sort Simultaneously prediction of sheep and goat carcass composition and body fat depots using in vivo ultrasound measurements and live weight
author Dias, L.G.
author_facet Dias, L.G.
Silva, Severiano
Teixeira, Alfredo
author_role author
author2 Silva, Severiano
Teixeira, Alfredo
author2_role author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Dias, L.G.
Silva, Severiano
Teixeira, Alfredo
dc.subject.por.fl_str_mv Body fat depots
Carcass composition
Goat breeds
In vivo ultrasound measurements
Predictive models
Sheep breeds
topic Body fat depots
Carcass composition
Goat breeds
In vivo ultrasound measurements
Predictive models
Sheep breeds
description The present study established multiple linear regression models using two ultrasound in vivo measurements (at lumbar and sternal regions, with different real-time ultrasonography machines and probes) and live weight, to predict simultaneously carcass composition and body fat depots of different breeds of sheep and goat. This study is important for the small ruminant industry, considering the feasibility of using the ultrasound methodology in field conditions, as well as an online system of the carcass evaluation. The multiple linear regression models were obtained by selecting the best subset of variables between using the in vivo measurements (raw variables), their second degree and interactions, evaluated in terms of prediction performance using cross-validation “K-folds” and validated by a test group. Overall, high accuracy (adj R2) was obtained from the linear relationship between predicted and experimental values of the group test for each of the nine dependent variables, with values varying between adj R2 0.88 and 0.98.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-19T10:00:00Z
2020
2020-01-01T00:00:00Z
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/10198/14799
url http://hdl.handle.net/10198/14799
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Dias, Luís G.; Silva, Severiano R.; Teixeira, Alfredo (2020). Simultaneously prediction of sheep and goat carcass composition and body fat depots using in vivo ultrasound measurements and live weight. Research in Veterinary Science. ISSN 0034-5288. 133, p. 180-187
0034-5288
10.1016/j.rvsc.2020.09.024
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.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
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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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