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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
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.

Type
Papers
Copyright
Copyright © British Society of Animal Science 1991

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