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双能X射线吸收法预测斑点叉尾鮰身体组成的验证

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

作者信息

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

机构信息

Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL 35294-3360.

Department of Biology, University of Alabama at Birmingham, Birmingham, AL 35294-1170.

出版信息

J World Aquac Soc. 2017 Feb;48(1):122-131. doi: 10.1111/jwas.12324. Epub 2016 Jul 4.

DOI:10.1111/jwas.12324
PMID:28348457
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5365081/
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.

摘要

双能X线吸收法(DXA)提供了一种非侵入性方法,用于测定人类和小型哺乳动物的瘦体重(LTM)、脂肪量(FM)、骨矿物质含量(BMC)和骨矿物质密度(BMD)。将活体沟鲶(n = 74,78克 - 1200克)麻醉,并分别在侧位和背腹位进行扫描。对6条个体鱼(300克 - 600克)每条扫描5次,通过变异系数确定精密度。LTM(0.75 - 1.06%)以及BMC和BMD(2 - 2.6%)的精密度良好。FM的精密度不佳(27 - 34%),这是由于DXA记录的FM非常低(0 - 1克)。然而,使用预测值后,FM精密度提高到了5 - 5.5%。LTM、FM和BMC的DXA值与化学分析结果显著不同(< 0.001)。DXA高估了LTM,低估了FM和BMC。然而,所有三个部分与胴体值都有很强的相关性(<0.0001)。使用预测方程和留一法,LTM、FM和BMC的预测值与胴体值没有显著差异(>0.05)。对于商业养殖的或受威胁或濒危鱼类物种,DXA也可能是一种评估其纵向身体状况的有价值工具,因为非侵入性程序将非常宝贵。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52e7/5365081/5b8d0063b6f2/nihms802239f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52e7/5365081/031524bbfced/nihms802239f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52e7/5365081/14836bc6b260/nihms802239f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52e7/5365081/5b8d0063b6f2/nihms802239f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52e7/5365081/031524bbfced/nihms802239f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52e7/5365081/14836bc6b260/nihms802239f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52e7/5365081/5b8d0063b6f2/nihms802239f3.jpg

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