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Related Experiment Videos

Using ultrasound technology to predict pork carcass composition.

C A Terry1, J W Savell, H A Recio

  • 1Texas A&M University, College Station 77843-2471.

Journal of Animal Science
|May 1, 1989
PubMed
Summary

Real-time ultrasound can predict market hog carcass merit. A two-variable equation accurately estimates four lean cuts in live hogs, aiding producers in objective carcass evaluation.

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Area of Science:

  • Animal Science
  • Agricultural Technology
  • Meat Science

Background:

  • Accurate prediction of carcass merit in live animals is crucial for the pork industry.
  • Traditional methods for assessing carcass traits often occur post-slaughter, limiting pre-purchase evaluation.
  • Objective, non-invasive techniques are needed to assess market hog value before processing.

Purpose of the Study:

  • To develop and validate a prediction equation for estimating the four lean cuts in live market hogs using real-time ultrasound.
  • To assess the accuracy and precision of ultrasound-based predictions compared to actual carcass measurements.
  • To provide producers with an objective tool for identifying superior live hog carcasses.

Main Methods:

  • Real-time ultrasound was used to measure fat thickness and longissimus muscle area in live market hogs.

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  • Carcass measurements were taken post-slaughter using ultrasound, backfat probes, and a dot grid.
  • A two-variable prediction equation was developed using specific ultrasound measurements (fat thickness and longissimus muscle area).
  • The prediction equation was validated on an independent sample of market hogs.

    • Main Results:

    • The optimal prediction equation utilized fat thickness at the gluteus medius and longissimus muscle area, achieving an R² of .83 and RSD of 1.67 in the initial sample.
    • Validation on a separate group of hogs resulted in an R² of .63 and RSD of 2.04 for predicting the four lean cuts.
    • While some accuracy was reduced upon validation, the equation provided a reasonable estimation of carcass merit.

    Conclusions:

    • Real-time ultrasound offers a viable, objective method for predicting the four lean cuts in live market hogs.
    • The developed prediction equation, despite a slight decrease in accuracy upon validation, provides a practical tool for producers.
    • This technology can enhance the ability of producers to identify and market hogs with superior carcass merit.