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Percentile growth charts for biomedical studies using a porcine model

Published online by Cambridge University Press:  01 December 2008

A. M. Corson
Affiliation:
Faculty of Natural Sciences, Imperial College London, Wye Campus, Wye, Kent TN25 5AH, UK
J. Laws
Affiliation:
Faculty of Natural Sciences, Imperial College London, Wye Campus, Wye, Kent TN25 5AH, UK
A. Laws
Affiliation:
Faculty of Natural Sciences, Imperial College London, Wye Campus, Wye, Kent TN25 5AH, UK
J. C. Litten
Affiliation:
Department of Agriculture, Policies and Development, The University of Reading, Earley Gate, P.O. Box 237, Reading, UK
I. J. Lean
Affiliation:
Faculty of Natural Sciences, Imperial College London, Wye Campus, Wye, Kent TN25 5AH, UK
L. Clarke*
Affiliation:
Faculty of Natural Sciences, Imperial College London, Wye Campus, Wye, Kent TN25 5AH, UK
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Abstract

Increasing rates of obesity and heart disease are compromising quality of life for a growing number of people. There is much research linking adult disease with the growth and development both in utero and during the first year of life. The pig is an ideal model for studying the origins of developmental programming. The objective of this paper was to construct percentile growth curves for the pig for use in biomedical studies. The body weight (BW) of pigs was recorded from birth to 150 days of age and their crown-to-rump length was measured over the neonatal period to enable the ponderal index (PI; kg/m3) to be calculated. Data were normalised and percentile curves were constructed using Cole’s lambda-mu-sigma (LMS) method for BW and PI. The construction of these percentile charts for use in biomedical research will allow a more detailed and precise tracking of growth and development of individual pigs under experimental conditions.

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Full Paper
Copyright
Copyright © The Animal Consortium 2008

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