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Authors
Advisor(s)
Abstract(s)
The objectives of this study were to identify a reduced pertinent set of
variables from an original set of 18 carcass measurements and the development
of linear regression models to predict lean meat yield of lamb carcasses. Forty-
six male lambs, 26 of Churro Galego Bragançano Portuguese local breed and 20
of Suffolk breed were used. Lambs were slaughtered and carcasses were
weighed approximately 30 min after slaughter in order to obtain hot carcass
weight (HCW). After cooling at 4°C for 24-h a set of 17 carcass measurements
were recorded. The data interrelationships were analysed following the common
factor analysis procedure. HCW was lowly correlated with leg length (r = 0.17)
and moderately correlated with measurements that characterize carcass lengths
and perimeters (r = -0.39 to 0.56). Four common factors (factor I = HCW; factor
II = breast bone thickness; factor III = subcutaneous fat thickness; and factor IV
= carcass conformation) were retained, accounting for 81.9% of the variation in
the 18 original variables. This study shows that common factors analysis can be
used to condense the information given by large sets of variables, by selecting a
reduced number of variables, which avoids collinearity problems and simplifies
the development of carcass composition estimation models.
Description
Keywords
Lambs Carcass Tissue Measurements Common factors
Citation
Cadavez, Vasco (2009). Prediction of lean meat proportion of lamb carcasses. Archiva Zootechnica. ISSN 1016-4855. 12:4, p. 46-58
Publisher
National Research Development Institute for Animal Biology and Nutrition (IBNA)