P.PSH.1344 - NUCTECH DEXA carcase analysis for lean meat yield measurement
Did you know that a small-footprint DEXA has demonstrated high precision and accuracy measurement of lamb carcase lean meat yield?
| Project start date: | 30 November 2021 |
| Project end date: | 29 October 2022 |
| Publication date: | 26 September 2023 |
| Project status: | Completed |
| Livestock species: | Grain-fed Cattle, Grass-fed Cattle, Sheep, Goat, Lamb |
| Relevant regions: | National |
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Summary
NUCTECH have designed, manufactured and installed a commercial small footprint DEXA system in an Australian abattoir. This project assessed the precision and accuracy with which the NUCTECH DEXA can predict CT fat, lean and bone% in lamb carcases. The NUCTECH DEXA system predicted lamb carcase CT fat, lean and bone% with high precision, and this high precision was maintained when prediction equations were trained and validated in subsets of the data. The validation process also demonstrated that NUCTECH DEXA predictions are highly accurate.
Objectives
This project evaluated the precision and accuracy with which the small-footprint NUCTECH DEXA system can predict the CT fat, lean and bone % of lamb carcases DEXA scanned at abattoir line speed.
Key findings
This project demonstrated that the NUCTECH DEXA system can predict lamb carcase CT fat%, lean% and bone% with high precision, and that this high precision was maintained when the prediction equations were trained and validated in subsets of the data. The validation process also demonstrated that NUCTECH DEXA predictions of CT composition are highly accurate.
Benefits to industry
The NUCTECH DEXA system delivers benefit to the Australian lamb industry by providing a highly precise, accurate and objective measure of lamb lean meat yield at abattoir chain speed whilst having a smaller footprint compared to alternate DEXA systems, which creates opportunities for abattoirs with limited space.
MLA action
MLA continues to support NUCTECH to further develop DEXA, and other x-ray technologies for red meat industry applications.
Future research
It is recommended that future research focus on further validation of the prediction algorithms in a larger set of lambs representing the full variation in weight and fatness typically encountered in the Australian lamb supply chain. This will provide industry further confidence in the ability of this system to output precise and accurate measurements of CT LMY% in a commercial processing environment.
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For more information Contact Project Manager: Richard Apps |
