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Dual energy X-ray absorptiometry predicts lamb carcass composition at abattoir chain speed with high repeatability across varying processing factors

Connaughton, S.L., Williams, A., Anderson, F., Kelman, K.R.ORCID: 0000-0002-4877-3112, Peterse, J. and Gardner, G.E.ORCID: 0000-0001-7499-9986 (2020) Dual energy X-ray absorptiometry predicts lamb carcass composition at abattoir chain speed with high repeatability across varying processing factors. Meat Science, 181 . Art.108413.

Link to Published Version: https://doi.org/10.1016/j.meatsci.2020.108413
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Abstract

An on-line Dual Energy X-ray Absorptiometry (DXA) scanner was used in an Australian abattoir to predict computed tomography (CT) determined composition % of fat, lean muscle and bone in lamb carcasses at chain speed. This study assessed the effect of spray-chilling on these estimates, as well as their repeatability over a 10-min period, and over a 72 h period. There was no prediction bias between the 15 spray-chilled and 15 non-spray-chilled carcasses. When repeat DEXA scans were undertaken across a 10-min period, there was a high level of repeatability for the prediction of CT Fat %. When repeat scans were conducted at 6 time points across a 72 h period the precision of the DXA prediction of CT Fat % of 30 carcasses remained high (R2 = 0.94, RMSEP = 1.20%), although small biases existed between time points (P < 0.01). These biases were minimised when the DXA scanner had been operational prior to experimentation, suggesting a ‘warm-up’ effect.

Item Type: Journal Article
Murdoch Affiliation(s): Agricultural Sciences
Publisher: Elsevier BV
Copyright: © 2020 Elsevier Ltd.
URI: http://researchrepository.murdoch.edu.au/id/eprint/59483
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