Prediction of lamb carcass composition and meat quality using combinations of post-mortem measurements

Various post-mortem measurements (carcass weights, conformation and fatness classes, external carcass dimensions, eye muscle dimensions, subcutaneous fat depth, pH and temperature) were recorded on 197 Texel (TEX) and 200 Scottish Blackface (SBF) lamb carcasses. The potential use of these measuremen...

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Published inMeat science Vol. 81; no. 4; pp. 711 - 719
Main Authors Lambe, N.R., Navajas, E.A., Bünger, L., Fisher, A.V., Roehe, R., Simm, G.
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier Ltd 01.04.2009
[Amsterdam]: Elsevier Science
Elsevier
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Summary:Various post-mortem measurements (carcass weights, conformation and fatness classes, external carcass dimensions, eye muscle dimensions, subcutaneous fat depth, pH and temperature) were recorded on 197 Texel (TEX) and 200 Scottish Blackface (SBF) lamb carcasses. The potential use of these measurements to predict carcass composition and key meat quality traits was investigated, to enable categorisation of carcasses in the abattoir and/or for use in genetic improvement programmes. By combining different measurements, accurate predictions of dissected carcass muscle weight (adjusted R 2 0.93 in TEX, 0.88 in SBF) and fat weight (adjusted R 2 0.84 in TEX, 0.87 in SBF) were achieved, and moderate predictions of intra-muscular fat (adjusted R 2 0.56 in TEX, 0.48 in SBF), whilst shear force was predicted with low to moderate accuracy (adjusted R 2 < 0.33 across breeds and cuts). Sex, eye muscle dimensions and subcutaneous fat depth improved predictions of carcass composition and intra-muscular fat, whilst pH or temperature provided little additional benefit for these traits, but increased prediction accuracies for shear force. These results could contribute to the development of automated carcass grading systems or help inform breeding decisions.
Bibliography:http://dx.doi.org/10.1016/j.meatsci.2008.10.025
ObjectType-Article-1
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content type line 23
ISSN:0309-1740
1873-4138
DOI:10.1016/j.meatsci.2008.10.025