Pork carcass evaluation with an automated and computerized ultrasonic system

Area of Science:

• Animal Science
• Meat Science
• Agricultural Engineering

Background:

• Accurate carcass composition estimation is crucial for value-based marketing in the pork industry.
• Traditional manual measurements can be subjective and time-consuming.

Purpose of the Study:

• To evaluate an automated, computerized real-time ultrasonic system for estimating pork carcass composition.
• To compare the precision of automated ultrasonic measurements against manual methods.

Main Methods:

• Collected carcass data from 325 market barrows and gilts.
• Utilized a computerized real-time ultrasonic system for automatic fat and muscle depth measurements.
• Performed manual ultrasonic measurements for comparative analysis.

Main Results:

• Hot carcass weight, automatic average fat depth, and muscle depth (longitudinal scans) accurately predicted lean weight (R² = .88) and grade lean weight (R² = .92).
• Automated measurements were more precise for estimating lean than manual measurements.
• Manual loin muscle area measurements were not necessary when other variables were included.

Conclusions:

• The automated ultrasonic system is an efficient and objective tool for pork carcass composition analysis.
• This technology can support objective decision-making in meat animal value-based marketing systems.
• Automated systems enhance the accuracy and efficiency of carcass evaluation.