Objective grading of rib eye traits using the Q-FOM™ camera in Australian beef carcasses

Area of Science:

• Animal Science
• Agricultural Technology
• Food Science

Background:

• Objective beef grading relies on accurate assessment of carcass traits like marbling and eye muscle area.
• Traditional grading methods can be subjective and time-consuming.
• Technological advancements are crucial for improving objectivity and efficiency in beef grading.

Purpose of the Study:

• To develop and validate calibration models for the Frontmatec Q-FOM™ Beef grading camera.
• To assess the precision, accuracy, and repeatability of the Q-FOM™ camera for Australian beef carcasses.
• To compare Q-FOM™ predictions against expert grader scores and chemical analysis.

Main Methods:

• Compiled 12 diverse research datasets from commercial Australian processing facilities.
• Utilized carcasses graded by expert Meat Standards Australia (MSA) graders.
• Sampled for chemical intramuscular fat (IMF%) and analyzed Q-FOM™ predictions against continuous and categorical traits.

Main Results:

• The Q-FOM™ camera demonstrated high accuracy for predicting eye muscle area (R²=0.89), MSA marbling (R²=0.95), and chemical IMF% (R²=0.94).
• Accurate predictions were achieved with low root mean squared error of prediction (RMSEP) and minimal bias.
• For categorical traits, predictions closely matched AUS-MEAT scores, with 95% falling within ±1 class of expert grader scores.

Conclusions:

• The Frontmatec Q-FOM™ Beef grading camera is a precise and accurate tool for assessing key beef carcass traits.
• The camera exhibits high repeatability and reproducibility, making it reliable for commercial application.
• This technology can significantly enhance the objectivity and efficiency of beef grading in Australia.