Dual energy X-ray absorptiometry (DXA) can be used to predict live animal and whole carcass composition of sheep

Hunter, Tane; Suster, D.; Dunshea, Frank R.; Cummins, L. J.; Egan, A. R.; Leury, B. J.

doi:10.1016/j.smallrumres.2011.07.003

Cited by 26 publications

(28 citation statements)

References 27 publications

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“…These accuracies are similar to those reported from beef and pork (López-Campos et al 2015;Soladoye et al 2016). The higher prediction accuracy of fat relative to lean is contrary to other studies that found DEXA prediction of lean content to be more accurate than fat (Mercier et al 2006;Pearce et al 2009;Hunter et al 2011). The difference in accuracy for estimating fat and lean could be due to the instrument edition, manufacturer, software version, or beam technology used, compared with previous studies.…”

Section: Dexa Predictions Of Yieldsupporting

confidence: 77%

“…New imaging technologies can be implemented by processors to improve yield prediction accuracy. Dualenergy X-ray absorptiometry (DEXA) is a nondestructive, rapid tool that can assess body composition (Dunshea et al 2007;Hunter et al 2011). A DEXA instrument capable of scanning carcasses at line speed has been developed (Gardner et al 2016).…”

Section: Introductionmentioning

confidence: 99%

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Exploration of methods for lamb carcass yield estimation in Canada

et al. 2018

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Different approaches were evaluated to improve the accuracy of carcass yield predictions of Canadian lamb carcasses using manually obtained measurements and dual-energy X-ray absorptiometry (DEXA). Several linear carcass measurements were obtained from a population of commercial lamb carcasses representative of the variability in Canadian slaughter plants (n = 155). Carcass measures were categorized into four sets according to when each measure could be obtained in the slaughter process. Each set of carcass measurements were subjected to stepwise regression and used to develop models for the estimation of lean meat and saleable yield percentages. Tissue depth measures (at the GR site) explained 44% of variation in lean meat yield in hot carcasses and 53% in cold carcasses. When additional parameters were included with cold GR, the regression model explained 61.9% of the variability in lean meat yield. Saleable yield predictions were less accurate (R2 < 0.40); the greatest degree of variability was predicted when the model included ribeye area (R2 = 0.39). The DEXA scans obtained on carcass sides were able to predict about 78% of variability in carcass lean meat yield and 91% of fat content. This information could be used by the lamb meat industry to establish new carcass classification systems based on more accurate lean meat yield values.

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Section: Dexa Predictions Of Yieldsupporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Exploration of methods for lamb carcass yield estimation in Canada

et al. 2018

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“…Body composition and total body weight (TBW) was measured at one, three, five and nine weekspost partum using DXA (Hunter et al, 2011). Feed was removed 5 h before scanning in an attempt to ensure a consistent level of gastrointestinal fill between each scanning period.…”

Section: Body Composition Measured Using Dual Energy X-ray Absorptiommentioning

confidence: 99%

“…While humans are scanned supine, this is not possible for sheep due to the potential for ruminal regurgitation and fluid asphyxiation, the risk of which is reduced in prone sheep. Since the DXA software computes body composition using algorithms generated for humans, the raw DXA output from scans analysed in the left arm mode was adjusted using equations generated from comparisons with actual chemical composition of the empty body that includes empty carcass, head, and empty viscera of sheep (Hunter et al, 2011). Animals were closely monitored during scanning and recovery and were fed immediately after recovery 15-20 min later.…”

Section: Body Composition Measured Using Dual Energy X-ray Absorptiommentioning

confidence: 99%

“…While dual energy x-ray absorptiometry (DXA) has not previously been used for lactating ewes, body composition measurements using DXA were shown to correlate strongly with chemical composition of wethers and non-lactating ewes (Hunter et al, 2011).The aim of this experiment was to measure the milk production (in terms of yield and composition), feed intake, liveweight changes and longitudinal changes in body composition of East Friesian x Romney (EFR) and BLM ewes over the first nine weeks of lactation.…”

Section: Introductionmentioning

confidence: 99%

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