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Video Image Analysis Prediction of Total Kilograms and Percent Primal Lean and Fat Yield of Beef Carcasses^1,2,

Kansas State University, Manhattan 66506

Abstract

The primal lean cut-out from the right side of 115 steer carcasses was utilized to evaluate the Video Image Analyzer's (VIA) ability to predict carcass composition and to compare VIA prediction accuracy with the accuracy of a committee of three experts trained in grading beef carcasses. The coefficients of determination (CD) using the VIA to predict total kilograms (CD = 95.63) and percent (CD = 46.36%) primal lean were slightly higher when compared with the accuracy of the committee-scored factor's prediction capabilities (CD = 94.29 and 46.35, respectively). Equations for predicting percentage and kilograms of total primal fat were slightly less accurate for the VIA in comparison to the committee factors. The VIA is as reliable as an expert three-member committee using USDA traits to evaluate the percent beef carcass yield of primal lean. The VIA method of evaluating carcasses could minimize variance in predicted carcass yields caused by grade application error, and would be less subject to errors in human judgment. It also shows potential for use as a predictor of total production weight yields (kg), which could facilitate forward sales of boxed-beef product.

¹ Contribution No. 84-259-J.

² Appreciation is expressed to Excel Corp., Wichita, KS for providing the product, fabrication facilities and fabrication labor utilized in this study.

³ Kansas Beef Council, 2044 Fillmore, Topeka, KS 66604.

⁴ Dept. of Anim. Sci., Kansas State Univ., Manhattan 66506.

⁵ Dept. of Statist., Kansas State Univ., Manhattan 66506.