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Managing safety and quality through the red meat chain.

P Desmarchelier¹, N Fegan, N Smale

¹Food Science Australia, P.O. Box 3312, Tingalpa DC, Qld 4173, Australia.

|November 9, 2011

Summary

Managing food safety in meat production requires a holistic approach. Targeted research can enhance existing assurance programs in the fragmented red meat industry.

Area of Science:

Food safety and quality assurance in animal agriculture.
Risk management in the red meat supply chain.
Agricultural innovation and knowledge transfer.

Background:

Effective management of food safety and quality risks in meat production necessitates a comprehensive strategy.
The red meat industry's inherent fragmentation limits the feasibility of fully integrated assurance systems across all operations.
Existing assurance initiatives offer a foundation for risk mitigation.

Purpose of the Study:

To explore the role of targeted research and development (R&D) in augmenting existing food safety and quality assurance programs within the red meat sector.
To identify strategies for enhancing assurance initiatives through scientific knowledge and innovation.
To provide an example using the Australian beef and lamb industry.

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Main Methods:

Review and description of various assurance initiatives in the red meat industry.
Analysis of how targeted R&D can support and improve these initiatives.
Case study application within the Australian beef and lamb production context.

Main Results:

A holistic approach is essential for managing food safety and quality risks.
Integrated assurance systems are ideal but often unachievable due to industry fragmentation.
Targeted R&D can provide crucial underpinning knowledge to strengthen current assurance programs.

Conclusions:

Augmenting existing assurance programs with targeted R&D is a viable strategy to improve food safety and quality in the red meat industry.
Addressing industry fragmentation requires innovative solutions that leverage scientific advancements.
The Australian beef and lamb industry serves as a model for implementing such R&D-driven enhancements.