Beef Carcass Evaluation by Use of a Video Image Analysis System

Abstract

A Video Image Analyzer (VIA) was used to predict composition of the 9-10-11th rib section from 44 bullock and steer carcasses. In all cases except one, equations developed from instrument-measured traits predicted rib composition more accurately than those developed from noninstrument (carcass)-measured traits. In some instances the differences were quite large. The best combination of instrument-measured traits for predicting kilograms of lean was total lean area (cm2), rib weight (kg), total fat area (%) and fat thickness (cm). This equation had a coefficient of determination (CD) of 93.6%. In comparison, the best equation that included only noninstrument-measured traits had a CD of 84.2% and contained the variables hot carcass weight (kg), actual fat thickness (cm) and rib eye area (cm2). The results of this study indicate considerable potential of the VIA as a yield grading device for commercial or research purposes.