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A simple method to increase precision or reduce expense in regression experiments to predict the proportion of lean meat of carcasses

Published online by Cambridge University Press:  02 September 2010

B. Engel  and
P. Walstra
B. Engel
Affiliation:
Agricultural Mathematics Group, PO Box 100, 6700 AC Wageningen, The Netherlands
P. Walstra
Affiliation:
Research Institute for Animal Production ‘Schoonoord’, PO Box 501, 3700 AM Zeist, The Netherlands
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Abstract

By a combination of complete and incomplete dissections a considerable increase of precision or reduction of expense may be obtained in the construction of a prediction formula for the proportion of lean meat of a carcass from objective carcass measurements. This approach, referred to as double-regression, is demonstrated on data involving dissection of pig carcasses in The Netherlands. Advantages of double-regression relative to ordinary regression with respect to precision and experimental cost are discussed. Expressions for optimal sample sizes at fixed total cost are derived.

Keywords

carcass compositionpigsregression
Type
Papers
Information
Animal Production , Volume 53 , Issue 3 , December 1991 , pp. 353 - 359
Copyright
Copyright © British Society of Animal Science 1991

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