Gastelum-Delgado, Miguel A., Aguilar-Quiñonez, José Antonio, Arce-Recinos, Carlos, García-Herrera, Ricardo A., Macías-Cruz, Ulises, Lee-Rangel, Héctor A., Cruz-Tamayo, Alvar A., Ángeles-Hernández, Juan C., Vargas-Bello-pérez, Einar, Chay-Canul, Alfonso J., Gastelum-Delgado, Miguel A., Aguilar-Quiñonez, José Antonio, Arce-Recinos, Carlos, García-Herrera, Ricardo A., Macías-Cruz, Ulises, Lee-Rangel, Héctor A., Cruz-Tamayo, Alvar A., Ángeles-Hernández, Juan C., Vargas-Bello-pérez, Einar, and Chay-Canul, Alfonso J.
This study was designed to develop predictive equations estimating carcass tissue composition in growing Blackbelly male lambs using as predictor variables for tissue composition of wholesale cuts of low economic value (i.e., neck and shoulder). For that, 40 lambs with 29.9 ± 3.18 kg of body weight were slaughtered and then the left half carcasses were weighed and divided in wholesale cuts, which were dissected to record weights of fat, muscle, and bone from leg, loin, neck, rib, and shoulder. Total weights of muscle (CM), bone (CB) and fat (CF) in carcass were recorded by adding the weights of each tissue from cuts. The CM, CF and CB positively correlated (p < 0.05; 0.36 ≤ r ≤ 0.86), from moderate to high, with most of the shoulder tissue components, but it was less evident (p ≤ 0.05; 0.32≤ r ≤0.63) with the neck tissue composition. In fact, CM did not correlate with neck fat and bone weights. Final models explained (p<0.01) 94, 92 and 88% of the variation observed for CM, CF and CB, respectively. Overall, results showed that prediction of carcass composition from shoulder (shoulder) tissue composition is a viable option over the more accurate method of analyzing the whole carcass.