Abstract
The current EUROP beef carcass classification scheme is still largely dependent on visually assessed fatness
and conformation and its purpose is to provide a common basis for the description of carcasses for use in
trade, price reporting and intervention. The meat industry, however, aims for accurately predicted saleable
meat yield (SMY%) to which the EUROP carcass classification shows highly variable correlations due in part
to the variable distribution of fat throughout the carcass as affected by breed, sex, diet, and the level of fat
trimming. Video image analysis (VIA) technology is capable of improving the precision and accuracy of
SMY% prediction even for specific carcass joints and simultaneously mimics the visual assessment to comply
with EU regulations on carcass classification. This review summarises the development and use of VIA for
evaluation of beef carcasses and discusses the advantages and shortfalls of the technology and its application.
© 2012 Elsevier Ltd. All rights reserved.
Original language | English |
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Pages (from-to) | 307 - 318 |
Number of pages | 12 |
Journal | Meat Science |
Volume | 92 |
Issue number | 4 |
DOIs | |
Publication status | Print publication - Dec 2012 |
Bibliographical note
1025109Keywords
- Beef
- Carcass
- Classification
- EUROP
- Grading
- Video image analysis
- Yield