Fat Prediction Using an Online Dual Energy X-ray Absorptiometer Is Accurate in Genetically Divergent Lambs

S.L. Connaughton; F. Anderson; K.R. Kelman; A. Williams; S. Starling; G.E Gardner

Fat Prediction Using an Online Dual Energy X-ray Absorptiometer Is Accurate in Genetically Divergent Lambs

in 63rd International Congress of Meat Science and Technology

Autor:innen:

S.L. Connaughton

S.L. Connaughton ¹School of Veterinary and Life Sciences, Murdoch University, Western Australia, Australia

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F. Anderson

F. Anderson ¹School of Veterinary and Life Sciences, Murdoch University, Western Australia, Australia

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K.R. Kelman

K.R. Kelman ¹School of Veterinary and Life Sciences, Murdoch University, Western Australia, Australia

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A. Williams

A. Williams ¹School of Veterinary and Life Sciences, Murdoch University, Western Australia, Australia

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S. Starling

S. Starling ²Meat and Livestock Australia, North Sydney, New South Wales, Australia; s.connaughton@murdoch.edu.au

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, und

G.E Gardner

G.E Gardner ¹School of Veterinary and Life Sciences, Murdoch University, Western Australia, Australia

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Art:: Kapitel

Seiten:: 658–659

DOI:: https://doi.org/10.3920/9789086868605_293

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Dual Energy X-ray Absorptiometry (DEXA) is an imaging modality that is used to determine tissue composition and bone density. A DEXA system operating at chain speed within an abattoir has been used to predict carcass fatness in a population of lambs (n=468) with high precision (R²=0.88; RMSE=1.46), when compared against computed tomography determined fat percentage. Further analysis of the fat % residuals (computed tomography prediction minus DEXA prediction) for each lamb investigated potential biases over the range of the sire’s Australian Sheep Breeding Values; including post- weaning eye muscle and fat depth. Results showed that there was minimal bias over the range these sire breeding values. These findings indicate that DEXA is an accurate and precise method of determining carcass composition in a genetically diverse population of lambs – giving confidence that this will provide valuable feedback to both processors and producers.

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63rd International Congress of Meat Science and Technology

Nurturing locally, growing globally

ISBN:: 9789086868605

Verleger:: Wageningen Academic

Print-Publikationsdatum:: 15 Nov 2017

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Fat Prediction Using an Online Dual Energy X-ray Absorptiometer Is Accurate in Genetically Divergent Lambs

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63rd International Congress of Meat Science and Technology

Nurturing locally, growing globally

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