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Missouri State University

Predicting Beef Tenderness Using Ultrasound Technology

Abstract

dc:description.abstract

The objective of this study was to evaluate the subjective prediction of tenderness via ultrasound as compared to actual tenderness of a carcass determined by Warner-Bratzler shear force. The study utilized 51 head of crossbred commercial feedlot steers. The cattle were selected on a criteria consisting of: Not more that 37.50% Bos Indicus influence, and not more than 18 months in age, with visual appraisal for fitness. A non-certified ultrasound technician, using an Aloka 500V ultrasound unit and CVI interpretation software, collected images and measured: percent intramuscular fat (%FatU), ribeye area (REAU), and fat thickness (FTU). The cattle were then harvested, and carcass ribeye area (REAC), carcass fat thckness (FTC), and calculated yield grade (CYG) were collected 48 hours after harvest to allow for chilling. The left side strip loin was obtained from each carcass, labeled according to test subject and carcass side, and evaluated for tenderness following established guidelines for Warner-Bratzler shear force (WBS). A subjective tenderness value (TSU), based on a proprietary formula (patent pending), was assigned to each %FatU image. The means for hot carcass weight (HCW), REAU, FTU, REAC, FTC, CYG, %FatU, WBS, and TSU were: 353.90±46.57 kg, 87.33±12.80 cm², 0.79±0.30 cm, 92.56±12.33 cm², 0.90±0.35 cm, 2.56±0.87, 3.30±0.37%, 3.50±0.61 kg, and 2.37±0.72 respectively. Correlations for REAU and REAC, FTU and FTC, REAC and CYG, REAU and CYG, FTC and CYG, and FTU and CYG, WBS and TSU, were: 0.01, 0.77, -0.74, 0.08, 0.53, 0.51, and 0.014 respectively. These data suggest little relationship between carcass tenderness and the subjective ultrasound tenderness value. Therefore, more research data must be collected to improve the accuracy of predicting tenderness (based on proprietary formula) using ultrasound technology.

Degree

thesis:*
Name thesis:degree_name
Master of Natural and Applied Science in Agriculture
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
College of Agriculture
Year
2003

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Howard, Jason V.
Contributors dc:contributor
  • Thomas Perkins

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • © Jason V Howard

Identifiers

dc:identifier.*
Repository record dc:identifier
https://bearworks.missouristate.edu/theses/881
OAI identifier oai:identifier
oai:bearworks.missouristate.edu:theses-1882

Chain of custody

source
Harvested from
Missouri State University
Base URL
bearworks.missouristate.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Howard, Jason V.. Predicting Beef Tenderness Using Ultrasound Technology. Masters thesis, 2003. https://bearworks.missouristate.edu/theses/881