Published in Scientific Papers. Series "Management, Economic Engineering in Agriculture and rural development", Vol. 14 ISSUE 4
Written by Monica Esperance GĂUREANU, Mirela Aurora STANCIU, Marian LABĂ
The objective of this study was to obtain new regression formulas for optical equipment Fat-O-Meat’er and OptiGrade-PRO in pig carcass classification in Romania. The estimation of lean mean content in pig carcasses by means of SEUROP system and following fair payment based on the weight and composition of the carcass pigs in the main objective of classification. Dissection of four main cuts (shoulder, loin, ham, belly) of pig carcasses (n = 145) were performed. The measurement of backfat and muscle depths using probes were taken from the carcasses within 45 min. after slaughter of pigs. Lean meat content estimated using different methods and determined from dissections was equal (56,3 % ). There were calculated new regression formulas using the multiplied regression analysis. Correct regression formulas for classification equipments have a big importance. The requirements on accuracy of regression formulas are laid out in the Commission Regulation No 3127 / 94 and means of dissection according to the method by Walstra and Merkus (1996)
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