Document Detail

Predicting beef cuts composition, fatty acids and meat quality characteristics by spiral computed tomography.
MedLine Citation:
PMID:  20655149     Owner:  NLM     Status:  In-Process    
The potential of X-ray computed tomography (CT) as a predictor of cuts composition and meat quality traits using a multivariate calibration method (partial least square regression, PLSR) was investigated in beef cattle. Sirloins from 88 crossbred Aberdeen Angus (AAx) and 106 Limousin (LIMx) cattle were scanned using spiral CT. Subsequently, they were dissected and analyzed for technological and sensory parameters, as well as for intramuscular fat (IMF) content and fatty acid composition. CT-PLSR calibrations, tested by cross-validation, were able to predict with high accuracy the subcutaneous fat (R2, RMSECV=0.94, 34.60 g and 0.92, 34.46 g), intermuscular fat (R2, RMSECV=0.81, 161.54 g and 0.86, 42.16 g), total fat (R2, RMSECV=0.89, 65.96 g and 0.93, 48.35 g) and muscle content (R2, RMSECV=0.99, 58.55 g and 0.97, 57.45 g) in AAx and LIMx samples, respectively. Accurate CT predictions were found for fatty acid profile (R2=0.61-0.75) and intramuscular fat content (R2=0.71-0.76) in both sire breeds. However, low to very low accuracies were obtained for technological and sensory traits with R2 ranged from 0.01 to 0.26. The image analysis evaluated provides the basis for an alternative approach to deliver very accurate predictions of cuts composition, IMF content and fatty acid profile with lower costs than the reference methods (dissection, chemical analysis), without damaging or depreciating the beef cuts.
N Prieto; E A Navajas; R I Richardson; D W Ross; J J Hyslop; G Simm; R Roehe
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-07-01
Journal Detail:
Title:  Meat science     Volume:  86     ISSN:  1873-4138     ISO Abbreviation:  Meat Sci.     Publication Date:  2010 Nov 
Date Detail:
Created Date:  2010-09-13     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101160862     Medline TA:  Meat Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  770-9     Citation Subset:  IM    
Copyright Information:
Copyright © 2010 The American Meat Science Association. All rights reserved.
Sustainable Livestock Systems Group, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK.
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