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Johnson MS, Watts RJ, Hammer HS, et al. Validation of Dual-energy X-Ray Absorptiometry to Predict Body Composition of Channel Catfish, . J World Aquac Soc. 2016;48(1):122-131doi: 10.1111/jwas.12324.
Johnson, M. S., Watts, R. J., Hammer, H. S., Nagy, T. R., & A Watts, S. (2017). Validation of Dual-energy X-Ray Absorptiometry to Predict Body Composition of Channel Catfish, . Journal of the World Aquaculture Society, 48(1), 122-131. https://doi.org/10.1111/jwas.12324
Johnson, Maria S, et al. "Validation of Dual-energy X-Ray Absorptiometry to Predict Body Composition of Channel Catfish, ." Journal of the World Aquaculture Society vol. 48,1 (2017): 122-131. doi: https://doi.org/10.1111/jwas.12324
Johnson MS, Watts RJ, Hammer HS, Nagy TR, A Watts S. Validation of Dual-energy X-Ray Absorptiometry to Predict Body Composition of Channel Catfish, . J World Aquac Soc. 2017 Feb;48(1):122-131. doi: 10.1111/jwas.12324. Epub 2016 Jul 04. PMID: 28348457; PMCID: PMC5365081.
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J World Aquac Soc. 2017 Feb;48(1):122-131. doi: 10.1111/jwas.12324. Epub 2016 Jul 04.

Validation of Dual-energy X-Ray Absorptiometry to Predict Body Composition of Channel Catfish, .

Journal of the World Aquaculture Society

Maria S Johnson, Randall J Watts, Hugh S Hammer, Tim R Nagy, Stephen A Watts

Affiliations

  1. Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL 35294-3360.
  2. Department of Biology, University of Alabama at Birmingham, Birmingham, AL 35294-1170.
  3. Aquatic Science Department, Gadsden State Community College, P.O. Box 227, Gadsden, AL 35902-0227.

PMID: 28348457 PMCID: PMC5365081 DOI: 10.1111/jwas.12324

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 (

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