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1 December 2016 Scanning Snakes to Measure Condition: A Validation of Quantitative Magnetic Resonance
Julia L. Riley, James H. Baxter-Gilbert, Christopher G. Guglielmo, Jacqueline D. Litzgus
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Abstract

Body composition is a measure of an animal's energetic state that can inform many research fields, yet the analysis traditionally requires individuals to be killed, and chemical analysis is labor intensive. Quantitative magnetic resonance (QMR) measures body composition noninvasively in live and nonanesthetized animals. Our aim was to validate QMR analysis for snakes by comparing it with gravimetric chemical analysis. We collected Northern Watersnakes (Nerodia sipedon sipedon) and Eastern Massasaugas (Sistrurus catenatus catenatus) that were found dead on roads, analyzed their body composition using the QMR scanner, and then by gravimetric chemical analysis. We compared fat mass, wet lean mass, and total water mass between the two methods, and then calculated bias, absolute error (g), and relative error (%) of the QMR analysis. Body composition values from the QMR analyses were highly correlated with the values obtained by gravimetric chemical analysis. Bias and errors were reasonable for wet lean and total water mass values, but the raw QMR data overestimated fat mass. When we calibrated the QMR using the chemical extraction data, it nearly eliminated bias and greatly reduced absolute and relative error. Therefore, following calibration, QMR analysis is an effective method to measure body composition of snakes. QMR very accurately measures wet lean and total water masses and can be used to detect changes in fat mass particularly in longitudinal studies of individuals across seasons.

Copyright 2016 Society for the Study of Amphibians and Reptiles
Julia L. Riley, James H. Baxter-Gilbert, Christopher G. Guglielmo, and Jacqueline D. Litzgus "Scanning Snakes to Measure Condition: A Validation of Quantitative Magnetic Resonance," Journal of Herpetology 50(4), 627-632, (1 December 2016). https://doi.org/10.1670/15-113
Accepted: 1 April 2016; Published: 1 December 2016
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