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Composition of beef carcasses:II. The use of regression equations to estimate total tissue components from observations on intact and quartered sides and partial dissection data

  • D. R. Williams (a1), R. W. Pomeroy (a1), J. M. Harries (a1) and P. O. Ryan (a1)
Summary

The data described in Part I of this series (Pomeroy et al. 1974) were analysed by regression methods, to see how, and how well, estimation of total carcass composition (simplified to bone, lean and fat) can be achieved in situations where the beef side cannot be fully dissected, but can be measured as an intact side, quartered and the cut surface photographed, or where sample joints can be dissected. Equations are given, based on the largest group (Group II, 72 animals) of the three previously described, and the advantages to be gained from quartering the carcass, photographing the cut surface, and dissecting a sample joint are quantified. These equations have been tested by applying them to the other two groups, I and III of 30 and 43 animals.

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References
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Adam, J. L. & Smith, W. C. (1966). The use of sample joints in predicting the composition of the pig carcass. Animal Production 8, 8594.
Cole, J. W., Ramsey, C. B. & Epley, R. H. (1962). Simplified method for predicting pounds of lean in beef carcasses. Journal of Animal Science 21, 355.
Corlett, T. (1963). Ballade of Multiple Regression. Applied Statistics 12, 145.
Latham, S. D., Moody, W. & Kemp, J. D. (1966). Techniques for estimating lamb carcass composition. Journal of Animal Science 25, 492–6.
Pomeroy, R. W., Williams, D. R., Harries, J. M. & Ryan, P. O. (1974). Composition of beef carcasses. I. Material, measurements, jointing and tissue separation. Journal of Agricultural Science, Cambridge 83, 6777.
Williams, D. R. (1968). A comparison between a method of jointing meat carcasses based upon their anatomical structure and a method based upon standardized butchering practice. II. Comparison of the uniformity of results. Journal of Agricultural Science, Cambridge 71, 425–30.
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The Journal of Agricultural Science
  • ISSN: 0021-8596
  • EISSN: 1469-5146
  • URL: /core/journals/journal-of-agricultural-science
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