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Prediction of lean meat proportion based on ultrasonic backfat thickness measurements of live pigs

Published online by Cambridge University Press:  18 August 2016

B. Hulsegge ,
G. S. M. Merkus  and
P. Walstra
B. Hulsegge
Affiliation:
Institute for Animal Science and Health (ID-Lelystad), PO Box 65, 8200 AB Lelystad, The Netherlands
G. S. M. Merkus
Affiliation:
Institute for Animal Science and Health (ID-Lelystad), PO Box 65, 8200 AB Lelystad, The Netherlands
P. Walstra
Affiliation:
Institute for Animal Science and Health (ID-Lelystad), PO Box 65, 8200 AB Lelystad, The Netherlands
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Abstract

In The Netherlands a system has been developed for classification of live pigs based on lean meat proportion. Ultrasonic backfat thickness measurements were taken on 377 live pigs to assess the ability of the developed system for estimation of the lean meat proportion. The measurements were made at the sites mid point (half the distance from the occipital bone to the base of the tail), mid point –2·5 cm and mid point +2·5 cm, 5 cm off the dorsal mid line.

On the same day, these pigs were slaughtered and the lean meat proportions of the carcasses were estimated using the Hennessy Grading Probe (HGP). HGP measurements were taken between the third and fourth from last rib, 6 cm off the dorsal mid line on carcasses (3/4 LR). The day after slaughter, 88 left carcass sides were randomly chosen to be dissected according to a simplified European Union (EU) reference method.

From the fat thicknesses measured, the one at the site mid point on live pigs was the most accurate predictor for the EU lean meat proportion. The use of multiple site measurements, compared with a single site measurement, significantly reduced the residual standard deviation for the estimation of lean meat proportion.

The site mid point on live pigs differed in longitudinal as well as in dorsal-ventral direction from 3/4 LR on carcasses.

The results of this study suggest that multiple backfat thickness measurements on live pigs can be used for prediction of lean meat proportion with sufficient precision for practical use. Therefore, the developed system can serve as a classification system for live pigs.

Keywords

carcass compositionleanpigsultrasonic fat meters
Type
Growth, development and meat science
Information
Animal Science , Volume 71 , Issue 2 , October 2000 , pp. 253 - 257
Copyright
Copyright © British Society of Animal Science 2000

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References

Alliston, J. C., Kempster, A. J., Owen, M. G. and Ellis, M. 1982. An evaluation of three ultrasonic machines for predicting the body composition of live pigs of the same breed, sex and live weight. Animal Production 35: 165–169.Google Scholar
Engel, B. 1991. Statistical analyses of the Dutch dissection data concerning harmonization of methods for grading pig carcasses in the community. Report LWB-91-21, Wageningen, The Netherlands Google Scholar
Engel, B. and Walstra, P. 1991. A simple method to increase precision or reduce expense in regression experiments to predict the proportion of lean meat of carcasses. Animal Production 53: 353–359.Google Scholar
European Community. 1985. Determining the Community scale for grading pig carcasses. European Community document no. 2967/85.Google Scholar
Fortin, A. 1986. Development of backfat and individual fat layers in the pig and its relationship with carcass lean. Meat Science 18: 225–270.CrossRefGoogle ScholarPubMed
Fortin, A., Jones, S. D. M. and Haworth, C. R. 1984. Pork carcass grading: a comparison of the New Zealand Hennessy Grading Probe and the Danish Fat-O-Meater. Meat Science 10: 131–144.Google Scholar
Fortin, A., Sim, D. W. and Talbot, S. 1980. Ultrasonic measurements of backfat thickness at different locations and positions on the warm pork carcass and comparisons of ruler and ultrasonic procedures. Canadian Journal of Animal Science 60: 635–641.Google Scholar
GENSTAT 5 Committee. 1993. GENSTAT 5 release 3 reference manual. Clarendon Press, Oxford.Google Scholar
Gresham, J. H., McPeake, S. R., Bernard, J. K. and Henderson, H. H. 1992. Commercial adaption of ultrasonography to predict pork carcass composition from live animals and carcass measurements. Journal of Animal Science 70: 631–639.CrossRefGoogle ScholarPubMed
Hulsegge, B., Mateman., G., Merkus, G. S. M. and Walstra, P. 1999. Choice of probing site for classification of live pigs using ultrasonic measurements. Animal Science 68: 641–645.Google Scholar
Hulsegge, B., Sterrenburg, P. and Merkus, G. S. M. 1994. Prediction of lean meat proportion in pig carcasses and in the major cuts from multiple measurements made with the Hennessy Grading Probe. Animal Production 59: 119–123.Google Scholar
Turlington, L. M. 1990. Live animal evaluation of swine and sheep using ultrasonics. M.Sc. thesis, Kansas State University, Manhattan.Google Scholar
Walstra, P. and Merkus, G. S. M. 1996. Procedure for assessment of the lean meat percentage as a consequence of the new EU reference dissection method in pig carcass classification. Report ID-DLO 96·014, ID-Lelystad, The Netherlands.Google Scholar
Zhang, W., Huiskes, J. H. and Ramaekers, P. J. L. 1993. Serial ultrasonic measurements of backfat thickness in growing finishing pigs. I. Location determination of serial ultrasonic measurements. Pig News and Information 14: 173N-176N.Google Scholar