By John R. Speakman
Bringing jointly a mixture of conventional and good validated analytical equipment with extra sleek thoughts, physique Composition research of Animals presents a theoretical assessment of other methodologies mixed with sensible suggestion at the use of those ideas. equipment lined comprise using damaging tools of research, physique situation indices, isotope and gasoline dilution equipment, overall physique electric conductivity, bio-impedance research, ultrasound scanning, and twin power x-ray absorptiometry.
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Additional resources for Body Composition Analysis of Animals: A Handbook of Non-Destructive Methods
Because regressions of mass on length (or transforms of length) do not partition lean mass from fat mass, condition indices based on such regressions are likely to be ﬂawed indicators of fat mass. Weatherhead and Brown (1996) showed that residual condition indices formed from regressions of mass on length were substantially worse indicators of fat mass than regressions that accounted for the scaling of lean mass with length in snakes. Their analysis may help explain why residual condition indices Morphological indicators had near zero correlations with fat content in mice (Krebs & Singleton, 1993).
J. (1993). Logarithmic transformation bias in allometry. American Journal of Physical Anthropology, 90, 215–28. Smith, J. & McAleer, M. (1994). Newey–West covariance matrix estimates for models with generated regressors. Applied Economics, 26, 635–40. Tuomi, J. & Jormalainen, V. (1988). Components of reproductive effort in the aquatic isopod Idotea baltica. Oikos, 52, 250–4. van der Meer, J. & Piersma, T. (1994). Physiologically inspired regression models for 37 38 j . p. h a y e s a n d j . s .
43 44 d . s . r e y n o l d s a n d t. h . k u n z When deciding to conduct analyses on captive populations, one must be aware of the potential impact of captivity on the body composition of individuals. Most studies in which captive and wild populations of the same species have been compared have found signiﬁcant differences in body composition (Hayward, 1965; Ledger, 1968; Millar, 1975, 1981), most likely due to differences in diet, metabolic rate, and digestive physiology (Ledger, 1968; Webb, 1992).
Body Composition Analysis of Animals: A Handbook of Non-Destructive Methods by John R. Speakman