USING BEEF MORPHOLOGY TO PREDICT CARCASS WEIGHT WHICH CUTTING IN THAI-ISAAN STYLE

Abstract

The trading of the beef cattle market in Thailand is based on the price satisfaction agreement between sellers and buyers. The rancher, the middlemen and the butcher shop have been predicted the return from visual assessment. The prediction of return from carcass composition depends on personal skill. The highest price of carcass cutting in Thai-Isaan style composes with all meat, liver, spleen, kidney, heart, tongue and gastric. The objective of this study was to determine the best-fitted regression model for predicting the weight of carcass composition using body measurements. Data on carcass composition cutting in Thai-Isaan style and linear body measurements recorded form 100 crossbred male beef in Northeastern (Isaan) region were used for this study. The simple and multiple regression models were fitted with carcass composition as the dependent variable and heart grit, body height, body length, hip width and hip length as independent variables. The correlation coefficients between carcass composition and body measurements were strongly and significantly (P<0.01). Body length was best fit to simple regression model for predict carcass composition weight (R2=0.712). A stepwise method was used to fitting the regression model. The recommended model was the 3 factors left in the model (heart girth, body length and hip length) with R2=08101. The study concludes that linear body measurements can predict carcass composition weight and their return. The rancher, the middlemen and the butcher shop can use this equation to predict the return and set the beef price for trading.