Prediction of Carcass Cuts Using Some non Invasive Predictors on Broiler Ducks Reared in Hot and Humid Climate of Eastern India

The study pertains to the estimation of carcass traits of broiler duck reared in hot and humid climate of Eastern India. The carcass and different cut weights were estimated using non invasive measurements, breast angle and body weights separately at different ages, i.e. 21, 28,35,42,49 and 56 days of age. The carcass traits were estimated using linear, logarithmic, exponential, inverse, power, quadratic, logistic, compound, growth and sigmoid curve fit equation. The efficiency of the equations derived was estimated using coefficient of determination values. The results indicated that the body weights at all ages were better estimator than the breast angle, which might be attributed to the slow development of the pectoral muscles in ducks. Amongst the curve fit regression equations it can be concluded that the quadratic regression equation provided the best estimator on an overall basis, whereas at many times the sigmoid regression equation was a better estimator than the former.