L.EQT.2501 - Statistical Development of MSA Sheepmeat Model FY25/Q1 FY26

Summary

The contract provided specialised statistical development to enhance the MSA sheepmeat cuts‑based eating quality (EQ) prediction model. Work focused on analysing new datasets and integrating additional cooking methods and hogget information. The project provided essential groundwork for the next generation MSA Sheepmeat Model, supporting commercialisation and future industry use.

Objectives

• expand the MSA cuts-based EQ prediction to include new cuts × cooks and hogget data using new datasets
• provide statistical support to the MSA team and build capability with other statisticians for future model development
• conduct statistical analysis for planning research trials, particularly related to cut × cook implementation.

Key findings

• New data analysis completed: new cooking methods and hogget data were successfully analysed.
• Enhanced model inputs: Additional cut × cook combinations now have EQ scores available for commercial application.
• Collaboration outcomes: Close interaction with other statistician helped build capability for future EQ model development.

Benefits to industry

Incorporating new cuts, new cooking methods, and hogget-specific data strengthens the reliability of EQ predictions for sheepmeat. This contract supported the preparation for the next release of the MSA Sheepmeat Model.

MLA action

Published online summary.

Future research

As more cooking methods and cuts are evaluated, ongoing work is required to adapt the model’s theoretical framework for additional dataset variations.