EQUATIONS FOR LEAN SHARE ESTIMATION IN SWINE CARCASSES IN CROATIA
The experiment was performed on 144 pig carcasses selected on the basis of backfat measures obtained by “ZP”- method. There was no stratification according to the carcass weight. One day after slaughter the carcasses were dissected by to EU reference method. The lean share was calculated by equation...
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Published in | Poljoprivreda Vol. 13; no. 1; p. 70 |
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Main Authors | , , , , , , |
Format | Paper |
Language | English |
Published |
Fakultet agrobiotehničkih znanosti Osijek i Poljoprivredni institut Osijek
29.06.2007
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Subjects | |
Online Access | Get full text |
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Summary: | The experiment was performed on 144 pig carcasses selected on the basis of backfat measures obtained by “ZP”- method. There was no stratification according to the carcass weight. One day after slaughter the carcasses were dissected by to EU reference method. The lean share was calculated by equation prescribed by European regulation (Commission Regulation No 3127/94) and estimated by six equations. The first one (MP1) is prescribed by current Croatian regulation (N.N. 119/1999) and the other five were developed on the basis of original data obtained by the experiment. The meat percentage estimated by equation MP1 differed statistically (p<0.01) from mean meat percentage obtained by EU referent method; the current formula significantly overestimates the meatiness of pig carcasses from Croatian population. Original measures of fat and muscle measured for “ZP”- method were used as independent variables in equation MP6. In order to improve the accuracy of estimation, transformed variables were used in equations MP2-MP5. Additional measure of warm carcass weight (T) was included as an independent variable to equations MP4 and MP5 but this did not improve their accuracy. Equation MP2 to MP5 satisfy the statistical criterion requested by EU regulations. The equation MP2 and MP5 can be recommended for lean share estimation in pig carcasses of Croatian pig population. |
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Bibliography: | 16057 |
ISSN: | 1330-7142 1848-8080 |