Technical note: Prediction of chemical rib section composition by dual energy X-ray absorptiometry in Zebu beef cattle

Detalhes bibliográficos
Autor(a) principal: Prados, L. F.
Data de Publicação: 2016
Outros Autores: Zanetti, D., Amaral, P. M., Mariz, L. D. S., Sathler, D. F. T., Valadares Filho, S. C., Silva, F. F., Silva, B. C., Pacheco, M. C., Alhadas, H. M., Chizzotti, M. L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: LOCUS Repositório Institucional da UFV
Texto Completo: https://doi.org/10.2527/jas.2015-0257
http://www.locus.ufv.br/handle/123456789/19115
Resumo: It is expensive and laborious to evaluate carcass composition in beef cattle. The objective of this study was to evaluate a method to predict the 9th to 11th rib section (rib9–11) composition through empirical equations using dual energy X-ray absorptiometry (DXA). Dual energy X-ray absorptiometry is a validated method used to describe tissue composition in humans and other animals, but few studies have evaluated this technique in beef cattle, and especially in the Zebu genotype. A total of 116 rib9–11 were used to evaluate published prediction equations for rib9–11 composition and to develop new regression models using a cross-validation procedure. For the proposed models, 93 ribs were randomly selected to calculate the new regression equations, and 23 different ribs were randomly selected to validate the regressions. The rib9–11 from left carcasses were taken from Nellore and Nellore × Angus bulls from 3 different studies and scanned using DXA equipment (GE Healthcare, Madison, WI) in the Health Division at Universidade Federal de Viçosa (Viçosa, Brazil). The outputs of the DXA report were DXA lean (g), DXA fat free mass (g), DXA fat mass (g), and DXA bone mineral content (BMC; g). After being scanned, the rib9–11 were dissected, ground, and chemically analyzed for total ether extract (EE), CP, water, and ash content. The predictions of rib fat and protein from previous published equations were different (P < 0.01) from the observed composition. New equations were established through leave-one-out cross-validation using the REG procedure in SAS. The equations were as follows: lean (g) = 37.082 + 0.907× DXA lean (R2 = 0.95); fat free mass (g) = 103.224 + 0.869 × DXA fat free mass (R2 = 0.93); EE mass (g) = 122.404 + 1.119 × DXA fat mass (R2 = 0.86); and ash mass (g) = 18.722 + 1.016 × DXA BMC (R2 = 0.39). The equations were validated using Mayer's test, the concordance correlation coefficient, and the mean square error of prediction for decomposition. For both equations, Mayer's test indicated that if the intercept and the slope were equal to 0 and 1 (P > 0.05), respectively, then the equation correctly estimated the rib composition. Comparing observed and predicted values using the new equations, Mayer's test was not significant for lean mass (P = 0.26), fat free mass (P = 0.67), EE mass (P = 0.054), and ash mass (P = 0.14). We concluded that the rib9–11 composition of Nellore and Nellore × Angus bulls can be estimated from DXA using the proposed equations.
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spelling Prados, L. F.Zanetti, D.Amaral, P. M.Mariz, L. D. S.Sathler, D. F. T.Valadares Filho, S. C.Silva, F. F.Silva, B. C.Pacheco, M. C.Alhadas, H. M.Chizzotti, M. L.2018-04-25T11:28:43Z2018-04-25T11:28:43Z2016-06-0115253163https://doi.org/10.2527/jas.2015-0257http://www.locus.ufv.br/handle/123456789/19115It is expensive and laborious to evaluate carcass composition in beef cattle. The objective of this study was to evaluate a method to predict the 9th to 11th rib section (rib9–11) composition through empirical equations using dual energy X-ray absorptiometry (DXA). Dual energy X-ray absorptiometry is a validated method used to describe tissue composition in humans and other animals, but few studies have evaluated this technique in beef cattle, and especially in the Zebu genotype. A total of 116 rib9–11 were used to evaluate published prediction equations for rib9–11 composition and to develop new regression models using a cross-validation procedure. For the proposed models, 93 ribs were randomly selected to calculate the new regression equations, and 23 different ribs were randomly selected to validate the regressions. The rib9–11 from left carcasses were taken from Nellore and Nellore × Angus bulls from 3 different studies and scanned using DXA equipment (GE Healthcare, Madison, WI) in the Health Division at Universidade Federal de Viçosa (Viçosa, Brazil). The outputs of the DXA report were DXA lean (g), DXA fat free mass (g), DXA fat mass (g), and DXA bone mineral content (BMC; g). After being scanned, the rib9–11 were dissected, ground, and chemically analyzed for total ether extract (EE), CP, water, and ash content. The predictions of rib fat and protein from previous published equations were different (P < 0.01) from the observed composition. New equations were established through leave-one-out cross-validation using the REG procedure in SAS. The equations were as follows: lean (g) = 37.082 + 0.907× DXA lean (R2 = 0.95); fat free mass (g) = 103.224 + 0.869 × DXA fat free mass (R2 = 0.93); EE mass (g) = 122.404 + 1.119 × DXA fat mass (R2 = 0.86); and ash mass (g) = 18.722 + 1.016 × DXA BMC (R2 = 0.39). The equations were validated using Mayer's test, the concordance correlation coefficient, and the mean square error of prediction for decomposition. For both equations, Mayer's test indicated that if the intercept and the slope were equal to 0 and 1 (P > 0.05), respectively, then the equation correctly estimated the rib composition. Comparing observed and predicted values using the new equations, Mayer's test was not significant for lean mass (P = 0.26), fat free mass (P = 0.67), EE mass (P = 0.054), and ash mass (P = 0.14). We concluded that the rib9–11 composition of Nellore and Nellore × Angus bulls can be estimated from DXA using the proposed equations.engAmerican Society of Animal Sciencev. 94, n. 6, p. 2479–2484, june 2016American Society of Animal Scienceinfo:eu-repo/semantics/openAccessAshDual energy X-rayEther extract lipidFat freeLeanRib sectionTechnical note: Prediction of chemical rib section composition by dual energy X-ray absorptiometry in Zebu beef cattleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINALartigo.pdfartigo.pdftexto completoapplication/pdf411358https://locus.ufv.br//bitstream/123456789/19115/1/artigo.pdf5b497638660ee1436c0547527e16c7ffMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://locus.ufv.br//bitstream/123456789/19115/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILartigo.pdf.jpgartigo.pdf.jpgIM Thumbnailimage/jpeg4792https://locus.ufv.br//bitstream/123456789/19115/3/artigo.pdf.jpgdeecfa395fd2344b23dd657f5f8fe103MD53123456789/191152018-04-25 23:00:41.107oai:locus.ufv.br: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Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452018-04-26T02:00:41LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false
dc.title.en.fl_str_mv Technical note: Prediction of chemical rib section composition by dual energy X-ray absorptiometry in Zebu beef cattle
title Technical note: Prediction of chemical rib section composition by dual energy X-ray absorptiometry in Zebu beef cattle
spellingShingle Technical note: Prediction of chemical rib section composition by dual energy X-ray absorptiometry in Zebu beef cattle
Prados, L. F.
Ash
Dual energy X-ray
Ether extract lipid
Fat free
Lean
Rib section
title_short Technical note: Prediction of chemical rib section composition by dual energy X-ray absorptiometry in Zebu beef cattle
title_full Technical note: Prediction of chemical rib section composition by dual energy X-ray absorptiometry in Zebu beef cattle
title_fullStr Technical note: Prediction of chemical rib section composition by dual energy X-ray absorptiometry in Zebu beef cattle
title_full_unstemmed Technical note: Prediction of chemical rib section composition by dual energy X-ray absorptiometry in Zebu beef cattle
title_sort Technical note: Prediction of chemical rib section composition by dual energy X-ray absorptiometry in Zebu beef cattle
author Prados, L. F.
author_facet Prados, L. F.
Zanetti, D.
Amaral, P. M.
Mariz, L. D. S.
Sathler, D. F. T.
Valadares Filho, S. C.
Silva, F. F.
Silva, B. C.
Pacheco, M. C.
Alhadas, H. M.
Chizzotti, M. L.
author_role author
author2 Zanetti, D.
Amaral, P. M.
Mariz, L. D. S.
Sathler, D. F. T.
Valadares Filho, S. C.
Silva, F. F.
Silva, B. C.
Pacheco, M. C.
Alhadas, H. M.
Chizzotti, M. L.
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Prados, L. F.
Zanetti, D.
Amaral, P. M.
Mariz, L. D. S.
Sathler, D. F. T.
Valadares Filho, S. C.
Silva, F. F.
Silva, B. C.
Pacheco, M. C.
Alhadas, H. M.
Chizzotti, M. L.
dc.subject.pt-BR.fl_str_mv Ash
Dual energy X-ray
Ether extract lipid
Fat free
Lean
Rib section
topic Ash
Dual energy X-ray
Ether extract lipid
Fat free
Lean
Rib section
description It is expensive and laborious to evaluate carcass composition in beef cattle. The objective of this study was to evaluate a method to predict the 9th to 11th rib section (rib9–11) composition through empirical equations using dual energy X-ray absorptiometry (DXA). Dual energy X-ray absorptiometry is a validated method used to describe tissue composition in humans and other animals, but few studies have evaluated this technique in beef cattle, and especially in the Zebu genotype. A total of 116 rib9–11 were used to evaluate published prediction equations for rib9–11 composition and to develop new regression models using a cross-validation procedure. For the proposed models, 93 ribs were randomly selected to calculate the new regression equations, and 23 different ribs were randomly selected to validate the regressions. The rib9–11 from left carcasses were taken from Nellore and Nellore × Angus bulls from 3 different studies and scanned using DXA equipment (GE Healthcare, Madison, WI) in the Health Division at Universidade Federal de Viçosa (Viçosa, Brazil). The outputs of the DXA report were DXA lean (g), DXA fat free mass (g), DXA fat mass (g), and DXA bone mineral content (BMC; g). After being scanned, the rib9–11 were dissected, ground, and chemically analyzed for total ether extract (EE), CP, water, and ash content. The predictions of rib fat and protein from previous published equations were different (P < 0.01) from the observed composition. New equations were established through leave-one-out cross-validation using the REG procedure in SAS. The equations were as follows: lean (g) = 37.082 + 0.907× DXA lean (R2 = 0.95); fat free mass (g) = 103.224 + 0.869 × DXA fat free mass (R2 = 0.93); EE mass (g) = 122.404 + 1.119 × DXA fat mass (R2 = 0.86); and ash mass (g) = 18.722 + 1.016 × DXA BMC (R2 = 0.39). The equations were validated using Mayer's test, the concordance correlation coefficient, and the mean square error of prediction for decomposition. For both equations, Mayer's test indicated that if the intercept and the slope were equal to 0 and 1 (P > 0.05), respectively, then the equation correctly estimated the rib composition. Comparing observed and predicted values using the new equations, Mayer's test was not significant for lean mass (P = 0.26), fat free mass (P = 0.67), EE mass (P = 0.054), and ash mass (P = 0.14). We concluded that the rib9–11 composition of Nellore and Nellore × Angus bulls can be estimated from DXA using the proposed equations.
publishDate 2016
dc.date.issued.fl_str_mv 2016-06-01
dc.date.accessioned.fl_str_mv 2018-04-25T11:28:43Z
dc.date.available.fl_str_mv 2018-04-25T11:28:43Z
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dc.identifier.issn.none.fl_str_mv 15253163
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http://www.locus.ufv.br/handle/123456789/19115
dc.language.iso.fl_str_mv eng
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dc.relation.ispartofseries.pt-BR.fl_str_mv v. 94, n. 6, p. 2479–2484, june 2016
dc.rights.driver.fl_str_mv American Society of Animal Science
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