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Predicting Steak and Roast Meat from Production and Carcass Traits

Texas A&M University, College Station

Abstract

Relationships among 12 production and carcass traits and regression equations to predict BSRM were computed from records on 231 calves sired by Hereford, Brahman, Santa Gertrudis, Charolais, Charbray and Brown Swiss bulls, and separately for 74 Hereford calves.

All traits were positively correlated with carcass weight and BSRM. For all breeds combined, carcass weight held constant, partial correlation coefficients of l. dorsi area, length of body, kidney fat, fat thickness and carcass grade with BSRM were 0.50, 0.35, –.58, –.54 and –.19, respectively.

Carcass weight was the most accurate single predictor of BSRM (r=0.94), followed by length of body (R=0.88), final weight (R=0.85), length of leg (R=0.78), width of round (R=0.77) and l. dorsi area (R=0.76). As much as 95% of the variation in weight of BSRM was accounted for when several of these traits were combined in the same model along with kidney fat or fat thickness at the 12th rib. Length of body, length of leg, width of round and carcass weight accounted for 92% of the variation in weight of BSRM. As much as 84% of the variation in weight of BSRM was accounted for by certain production traits.

¹ Present address. Agriculture Department, Abilene Christian College, Abilene, Texas.