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Consistency and accuracy of pig carcass lean prediction from P2 fat thickness and sample joint dissection

Published online by Cambridge University Press:  24 November 2017

J Planella
Affiliation:
c/o Meat and Livestock Commission, PO Box 44, Winterhill House, Snowdon Drive, Milton Keynes, MK6 1AX
G L Cook
Affiliation:
Meat and Livestock Commission, PO Box 44, Winterhill House, Snowdon Drive, Milton Keynes, MK6 1AX
C C Warkup
Affiliation:
Meat and Livestock Commission, PO Box 44, Winterhill House, Snowdon Drive, Milton Keynes, MK6 1AX
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Abstract

Genetic improvements and developments in production methods have made dramatic changes in the composition of British pig carcasses over the last ten years. As a result, equations for predicting lean concentration are likely to need frequent revision. The first Stotfold Trial was designed to obtain a comprehensive modern data set with which production efficiency, carcass composition and meat quality could be examined for different breed types, sexes and feeding regimens. It therefore provides a valuable database with which to evaluate predictors of carcass lean. The main objective of this paper is to examine the stability of the regression equations predicting carcass lean content from carcass weight, P2 and lean content of sample joints among different populations, sexes and feeding regimens. Two different aspects of prediction were studied. The first was that of carcass grading, the estimation of lean concentration from P2 (measured with an Optical Probe) and carcass weight. The second was that of the estimation of total lean concentration from the dissection of sample joints and from the removal of total subcutaneous fat in the side. The accuracy of these estimators was also examined.

Type
Pig Production
Copyright
Copyright © The British Society of Animal Production 1990

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References

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