Prediction of carcase characteristics using neck traits from hair-sheep ewes

Abstract : The objective of this study was to develop predictive equations for carcase composition using neck tissue composition as predictors in multiparous Pelibuey ewes (n=50, body weight = 39 ± 7 kg and body condition score = 2.56 ± 0.98 points) were used to develop predictive equations for carcase tissue composition and weight from neck composition traits applying multiple linear regression. The accuracy of the model was evaluated considering the values of determination coefficient (r2) and root mean square error (RMSE). Carcase and neck traits showed a positive relationship (p ˂.01) and the correlation coefficient (r) ranged from 0.44 to 0.78, being stronger for hot (HCW) and cold (CCW) carcase weights with neck traits. Except for neck bone weight, all neck traits resulted to be suitable predictor variables (p ˂ .0001) for carcase muscle (MW) and fat (FW) weight as r2 values ranged from 0.63 to 0.74. In the equation for carcase bone weight, only neck muscle weight was a predictor. However, r2 value was low (r2 = 0.29; p ˂ .0001). Overall, results suggest that carcase and neck traits showed a positive relationship. The weight of the neck and its content of muscle and fat could be used to predict the composition of the carcase tissue in non-pregnant and non-lactating multiparous Pelibuey ewes.