Related Experiment Video
Updated: May 15, 2026

Exploring the Longissimus Muscle: Unraveling its Correlation with Meat Quality in Bos indicus and Crossbred Bulls
Published on: July 12, 2024
Prediction equations for Warner-Bratzler shear force using principal component regression analysis in
N Jerez-Timaure1, N Huerta-Leidenz, J Ortega
1Facultad de Agronomía, Núcleo Agropecuario, Universidad del Zulia, Maracaibo 4005, Estado Zulia, Apartado 15205, Venezuela. njerez@fa.luz.edu.ve
Abstract:
A database consisting of 331 beef animals (Brahman-crossbred) was used to determine the multivariate relationships between carcass and beef palatability traits of Venezuelan cattle and to develop prediction equations for Warner-Bratzler shear force (WBSF). The first three principal components (PC) explained 77.53% of the standardized variance. Equations were obtained for each sex class and the total variability observed in WBSF could be explained by its orthogonal regression with carcass weight (CW), fat cover (FC), fat thickness (FT), and skeletal maturity (SM). Prediction equations were: WBSF(steers)=3.566+0.003(CW)-0.033(FC)-0.015(FT)+0.0004(SM); WBSF(heifers)=4.824+0.002(CW)-0.229(FC)+0.096(FT)-0.064(SM); WBSF(bulls)=3.516+0.009(CW)+0.154(FC)-0.129(FT)-0.006(SM). A higher proportion of the variation was explained by the PC when variables of greater weight were selected to define each PC. The equation set presented herein could become an important tool to improve the Venezuelan carcass grading system.
Related Concept Videos
Shearing Stress
The average shearing stress can be calculated by dividing the shear by the area of the cross-section.
Elastic Strain Energy for Shearing Stresses
Relation Between the Distributed Load and Shear
Shearing Strain
Principal Stresses: Problem Solving
Shear and Bending Moment Diagram: Problem Solving
Draw a Free-Body Diagram: Start by drawing a free-body diagram of the entire beam, including the concentrated loads, distributed load, and reaction...
