Body Composition Evaluation

Predicting Beef Carcass Retail Product Using Real-time Ultrasound and Live Animal Measures: Progress Report

Authors
  • Scott P. Greiner (Iowa State University)
  • Gene H. Rouse (Iowa State University)
  • Doyle E. Wilson (Iowa State University)
  • Larry Cundiff (U.S. Meat Animal Research Center)

Abstract

Two-hundred-eighty-two crossbred steers were scanned with real-time ultrasound (RTU), slaughtered, and fabricated into retail cuts to determine the potential for a combination of live animal and ultrasound measures to predict carcass retail yield. Ultrasound measures of fat thickness, ribeye area, rump fat thickness, and body wall thickness, as well as live weight and visual muscle score were recorded three to five days prior to slaughter. Carcass measurements were taken, and one side of each carcass was fabricated into retail cuts with .3 inches fat. Stepwise regression analysis was used to compare possible models for prediction of either pounds or percent retail product from carcass measurements or a combination of live animal traits and ultrasound measures. Results indicate that possible prediction models for percent or pounds of retail product using live animal and RTU measures were similar in their predictive power and accuracy when compared to models derived from carcass measurements.

Keywords: ASL R1327

How to Cite:

Greiner, S. P., Rouse, G. H., Wilson, D. E. & Cundiff, L., (1997) “Predicting Beef Carcass Retail Product Using Real-time Ultrasound and Live Animal Measures: Progress Report”, Iowa State University Animal Industry Report 1(1).

Downloads:
Download pdf

94 Views

63 Downloads

Published on
01 Jan 1997
Peer Reviewed