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Prediction of the chemical body composition of suckling goat kids protected by the PGI ‘Cabrito de

Bibliographic Details
Main Author: Silva, Severiano
Publication Date: 2009
Other Authors: Silva, M., Guedes, Cristina, Mena, Elizabete, Santos, Virgínia, Azevedo, Jorge Manuel Teixeira de, Lourenço, Ana, Gomes, Maria José Marques
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10348/2322
Summary: In the Barroso region (Portugal) there is traditional consumption of light goat kids (Cabrito do Barroso, CB), belonging to the local breeds Serrana and Bravia. Accurate measurements of changes in body chemical composition (BCC) of live animals are important to understand the response to the production system. Among others the real time ultrasonography (RTU) associated with image analysis is able to predict BCC. The present study was undertaken to determine the best combination of RTU measurement and live weight (LW) to predict the BCC in PGI kids. Data from 43 kids (10±2 kg LW) were scanned with an Aloka SSD500V real time scanner using a linear probe of 7.5 MHz, which was placed over the 8th, 11th, 13th thoracic and over the 4th lumbar vertebrae. At these points the subcutaneous fat depth (SF) and Longissimus thoracis et lumborum muscle depth (MD) were measured. The probe was also positioned over the 3rd sternebra of the sternum and over the 11th rib at the middle of thoracic cage, the SF and the tissue depth (TD) being recorded. The RTU measurements were obtained after image analysis using the ImageJ software. Carcasses and all non-carcass body components were ground. Two samples were obtained and analysed for moisture, protein, fat and ash. Stepwise regression analyses were established between chemical body components and RTU measurements and LW as independent variables. The best fitting regression equations were evaluated by the coefficients of determination (r2), residual standard deviation (rsd) and Mallows statistic (Cp). For moisture and fat the best fit was achieved with 3 RTU measurements and LW (r2=0.948; RSD =181g; Cp=1.98 and r2=0.924; RSD =130g; Cp=0.95; respectively). For protein the best fit was obtained with LW and one RTU measurement (r2=0.794; RSD=129g; Cp=7.1). These results showed the usefulness of in vivo RTU in assessing body composition of kids protected by the PGI Cabrito de Barroso
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spelling Prediction of the chemical body composition of suckling goat kids protected by the PGI ‘Cabrito deIn the Barroso region (Portugal) there is traditional consumption of light goat kids (Cabrito do Barroso, CB), belonging to the local breeds Serrana and Bravia. Accurate measurements of changes in body chemical composition (BCC) of live animals are important to understand the response to the production system. Among others the real time ultrasonography (RTU) associated with image analysis is able to predict BCC. The present study was undertaken to determine the best combination of RTU measurement and live weight (LW) to predict the BCC in PGI kids. Data from 43 kids (10±2 kg LW) were scanned with an Aloka SSD500V real time scanner using a linear probe of 7.5 MHz, which was placed over the 8th, 11th, 13th thoracic and over the 4th lumbar vertebrae. At these points the subcutaneous fat depth (SF) and Longissimus thoracis et lumborum muscle depth (MD) were measured. The probe was also positioned over the 3rd sternebra of the sternum and over the 11th rib at the middle of thoracic cage, the SF and the tissue depth (TD) being recorded. The RTU measurements were obtained after image analysis using the ImageJ software. Carcasses and all non-carcass body components were ground. Two samples were obtained and analysed for moisture, protein, fat and ash. Stepwise regression analyses were established between chemical body components and RTU measurements and LW as independent variables. The best fitting regression equations were evaluated by the coefficients of determination (r2), residual standard deviation (rsd) and Mallows statistic (Cp). For moisture and fat the best fit was achieved with 3 RTU measurements and LW (r2=0.948; RSD =181g; Cp=1.98 and r2=0.924; RSD =130g; Cp=0.95; respectively). For protein the best fit was obtained with LW and one RTU measurement (r2=0.794; RSD=129g; Cp=7.1). These results showed the usefulness of in vivo RTU in assessing body composition of kids protected by the PGI Cabrito de Barroso2013-03-08T12:16:31Z2009-01-01T00:00:00Z2009conference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10348/2322engSilva, SeverianoSilva, M.Guedes, CristinaMena, ElizabeteSantos, VirgíniaAzevedo, Jorge Manuel Teixeira deLourenço, AnaGomes, Maria José Marquesinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-30T02:46:47Zoai:repositorio.utad.pt:10348/2322Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T12:43:35.688463Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Prediction of the chemical body composition of suckling goat kids protected by the PGI ‘Cabrito de
title Prediction of the chemical body composition of suckling goat kids protected by the PGI ‘Cabrito de
spellingShingle Prediction of the chemical body composition of suckling goat kids protected by the PGI ‘Cabrito de
Silva, Severiano
title_short Prediction of the chemical body composition of suckling goat kids protected by the PGI ‘Cabrito de
title_full Prediction of the chemical body composition of suckling goat kids protected by the PGI ‘Cabrito de
title_fullStr Prediction of the chemical body composition of suckling goat kids protected by the PGI ‘Cabrito de
title_full_unstemmed Prediction of the chemical body composition of suckling goat kids protected by the PGI ‘Cabrito de
title_sort Prediction of the chemical body composition of suckling goat kids protected by the PGI ‘Cabrito de
author Silva, Severiano
author_facet Silva, Severiano
Silva, M.
Guedes, Cristina
Mena, Elizabete
Santos, Virgínia
Azevedo, Jorge Manuel Teixeira de
Lourenço, Ana
Gomes, Maria José Marques
author_role author
author2 Silva, M.
Guedes, Cristina
Mena, Elizabete
Santos, Virgínia
Azevedo, Jorge Manuel Teixeira de
Lourenço, Ana
Gomes, Maria José Marques
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, Severiano
Silva, M.
Guedes, Cristina
Mena, Elizabete
Santos, Virgínia
Azevedo, Jorge Manuel Teixeira de
Lourenço, Ana
Gomes, Maria José Marques
description In the Barroso region (Portugal) there is traditional consumption of light goat kids (Cabrito do Barroso, CB), belonging to the local breeds Serrana and Bravia. Accurate measurements of changes in body chemical composition (BCC) of live animals are important to understand the response to the production system. Among others the real time ultrasonography (RTU) associated with image analysis is able to predict BCC. The present study was undertaken to determine the best combination of RTU measurement and live weight (LW) to predict the BCC in PGI kids. Data from 43 kids (10±2 kg LW) were scanned with an Aloka SSD500V real time scanner using a linear probe of 7.5 MHz, which was placed over the 8th, 11th, 13th thoracic and over the 4th lumbar vertebrae. At these points the subcutaneous fat depth (SF) and Longissimus thoracis et lumborum muscle depth (MD) were measured. The probe was also positioned over the 3rd sternebra of the sternum and over the 11th rib at the middle of thoracic cage, the SF and the tissue depth (TD) being recorded. The RTU measurements were obtained after image analysis using the ImageJ software. Carcasses and all non-carcass body components were ground. Two samples were obtained and analysed for moisture, protein, fat and ash. Stepwise regression analyses were established between chemical body components and RTU measurements and LW as independent variables. The best fitting regression equations were evaluated by the coefficients of determination (r2), residual standard deviation (rsd) and Mallows statistic (Cp). For moisture and fat the best fit was achieved with 3 RTU measurements and LW (r2=0.948; RSD =181g; Cp=1.98 and r2=0.924; RSD =130g; Cp=0.95; respectively). For protein the best fit was obtained with LW and one RTU measurement (r2=0.794; RSD=129g; Cp=7.1). These results showed the usefulness of in vivo RTU in assessing body composition of kids protected by the PGI Cabrito de Barroso
publishDate 2009
dc.date.none.fl_str_mv 2009-01-01T00:00:00Z
2009
2013-03-08T12:16:31Z
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