Equations for Estimating Cutability of Beef Wholesale Cuts

Area of Science:

• Animal Science
• Meat Science
• Agricultural Economics

Background:

• Accurate prediction of beef carcass value is crucial for the livestock industry.
• Understanding factors influencing retail yield is essential for optimizing beef grading and marketing.

Purpose of the Study:

• To develop prediction equations for bone-in and boneless retail yields from beef carcasses.
• To identify key subjective and objective traits for estimating yield in commercial grading scenarios.

Main Methods:

• Fabrication of 280 steer, heifer, and cow carcasses from commercial sources.
• Development of regression equations using subjective and objective carcass traits.
• Analysis of yield variations across four primal wholesale cuts (round, loin, rib, chuck).

Main Results:

• Equations explained 63-80% of the variation in bone-in and boneless retail cut yields.
• Muscling traits became more important predictors when bone was removed for retail cuts.
• Effective prediction equations with 2-4 variables were created for primal cuts.

Conclusions:

• Easily obtainable carcass traits can reliably predict retail yield.
• Incorporating muscling scores improves yield prediction accuracy, especially for boneless cuts.
• Developed equations are applicable to commercial beef carcass grading systems.