Livestock Carcass Calculator
Published in academic literature
App Summary
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Detailed Description
Functionality & Mechanism
Developed by Washington State University Extension, the Livestock Carcass Calculator facilitates rapid computation of carcass merit. The interface is organized into species-specific modules for beef, pork, and lamb. It captures inputs from live animal estimates, including ultrasound data, or from direct post-harvest carcass measurements. The system then automatically processes these variables using standard industry equations to generate dressing percentages, yield grades, and cutability metrics, with calculations completed in a single session for immediate field or plant-based assessment.
Evidence & Research Context
- The calculator integrates industry-standard and USDA-utilized equations for determining carcass merit and cutability across beef, pork, and lamb.
- Associated research describes the tool as a method for rapidly computing the primary value-determining factors for livestock when marketed on a carcass basis.
- The system's design enables the calculation of carcass characteristics from both predictive live animal data and actual collected carcass measurements.
- The application is presented in the literature as a practical computational tool for diverse stakeholders, including producers, agricultural educators, and meat evaluators.
Intended Use & Scope
This tool is designed for livestock industry professionals, educators, and students as a rapid educational and estimation resource. Its primary utility is to provide quick calculations of potential carcass merit. The system is not a substitute for official grading and does not replace valuations determined by certified USDA graders or commercial grid pricing systems. Users must seek official assessments for regulatory or commercial transactional purposes.
Studies & Publications
Peer-reviewed research associated with this app.
WSU Carcass Calculator App: A Quick and Easy Way to Calculate Carcass Merit
Smith et al. (2018) · WSU Extension
Describes the research-driven development of this appApp Information
Developer
Washington State UniversityCategory
Evidence Profile
Published in academic literature
Platforms
Updated
Aug 2015
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