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- Validation of Dual-energy X-Ray Absorptiometry to Predict Body Composition of Channel Catfish, .
Validation of Dual-energy X-Ray Absorptiometry to Predict Body Composition of Channel Catfish, .
Citation | “Validation Of Dual-Energy X-Ray Absorptiometry To Predict Body Composition Of Channel Catfish, .”. Journal Of The World Aquaculture Society, pp. 122-131. . |
Center | University of Alabama at Birmingham |
Author | Maria S Johnson, Randall J Watts, Hugh S Hammer, Tim R Nagy, Stephen A Watts |
Abstract |
Dual-energy X-ray absorptiometry (DXA) provides a noninvasive way to determine lean tissue mass (LTM), fat mass (FM), bone mineral content (BMC), and bone mineral density (BMD) in humans and small mammals. Live channel catfish (n=74, 78g - 1200 g) were anesthetized and scanned in both a lateral position and a dorsa-ventral position. Six individual fish (300g - 600g) were scanned five times each to determine precision by the coefficient of variation. Precision was good for LTM (0.75-1.06%) and for BMC and BMD (2-2.6%). Precision for FM was not good (27-34%), which was due to the very low FM (0-1g) recorded by the DXA. However, using the predicted values, FM precision improved to 5-5.5%. DXA values for LTM, FM, and BMC were significantly different from chemical analysis (< 0.001). DXA overestimated LTM and underestimated FM and BMC. However, all three compartments were strongly correlated with carcass values ( <0.0001). Using the prediction equations and the jackknife procedure, predicted values of LTM, FM, and BMC were not significantly different from the carcass values ( >0.05). DXA may also be a valuable tool for evaluating body condition longitudinally in commercial or in threatened or endangered fish species, where non-invasive procedures would be invaluable. |
Year of Publication |
2017
|
Journal |
Journal of the World Aquaculture Society
|
Volume |
48
|
Issue |
1
|
Number of Pages |
122-131
|
Date Published |
02/2017
|
ISSN Number |
0893-8849
|
DOI |
10.1111/jwas.12324
|
Alternate Journal |
J World Aquac Soc
|
PMID |
28348457
|
PMCID |
PMC5365081
|
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