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Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

The accuracy of dual energy X-ray absorptiometry (DXA), weight, and P2 back fat to predict half-carcass and primal-cut composition in pigs within and across research experiments

D. Suster A B , B. J. Leury B , C. D. Hofmeyr A , D. N. D’Souza C and F. R. Dunshea A B D
+ Author Affiliations
- Author Affiliations

A Department of Primary Industries, 600 Sneydes Rd, Werribee, Vic. 3030, Australia.

B The University of Melbourne, Parkville, Vic. 3010, Australia.

C Animal Research and Development Unit, Agriculture Western Australia, 3 Baron Hay Crt, South Perth, WA 6151, Australia.

D Corresponding author; email: Frank.Dunshea@dpi.vic.gov.au

Australian Journal of Agricultural Research 55(9) 973-982 https://doi.org/10.1071/AR04052
Submitted: 3 March 2004  Accepted: 9 July 2004   Published: 24 September 2004

Abstract

A Hologic QDR4500A dual energy X-ray absorptiometer (DXA) was used to measure body composition in 199 half-carcasses ranging from 15 to 48 kg. Half-carcasses were from animals of mixed sex and of either Large White × Landrace or Large White × Landrace × Duroc descent. Half-carcasses were selected from 5 different experiments to evaluate DXA accuracy within and across experiments. Values determined by DXA including total tissue mass, fat tissue mass, lean tissue mass, and bone mineral content, for the half-carcass and the shoulder, loin, belly, and ham primal cuts were evaluated by comparison with manually dissected composition. Relationships between manually dissected values and measurements of weight and backfat at the P2 site were also evaluated. Manually dissected values were strongly related to DXA-derived values, more so than with weight and P2 or a combination of both, particularly in the measurement of fat composition. In contrast to estimates derived from weight and P2, DXA-derived estimates remained accurate even when between-experiment variation was included. However, because DXA estimates were different from manually dissected values, they would need to be adjusted with the use of appropriate regression equations to correct the in-built algorithms. These results demonstrate the efficacy of DXA as a non-destructive method for determining the composition of the half-carcass and primal cuts, and its greater precision than current routinely used methods.

Additional keywords: dissection, lean tissue, fat, belly, REML.


Acknowledgments

The first author thanks Australian Pork Limited (APL) for financial assistance. The authors thank Kym Butler for biometrical advice. The authors also thank Paul Meredith and Robert Nightingale for help with dissections.


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