alexa Development Time Variability: Adaptation of Regnieres Method to the Intrinsic Variability of Belgian Lucilia Sericata (Diptera, Calliphoridae) Population | Abstract
ISSN: 2157-7145

Journal of Forensic Research
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Research Article

Development Time Variability: Adaptation of Regnieres Method to the Intrinsic Variability of Belgian Lucilia Sericata (Diptera, Calliphoridae) Population

M. Gosselin1,2*, D. Charabidze3,4, C. Frippiat5, B. Bourel3,4, D. Gosset3 and P. Rasmont1

1Université de Mons, Laboratoire de Zoologie, B-7000, Mons, Belgium

2Institut National de Criminologie et de Criminalistique, laboratoire de toxicologie, B-1120, Bruxelles, Belgium

3Univ Lille Nord de France, Institut Médico-légal, F-59000 Lille, France

4UCLille, labo EandS, F-59000 Lille, France

5Institut National de Criminologie et de Criminalistique, laboratoire d’analyse génétique, B-1120, Bruxelles, Belgium

*Corresponding Author:
Matthias Gosselin
National Institute for Criminalistics and Criminology
laboratorium of toxicology, Brussels, Belgium
E-mail: matthias. [email protected]

Received date: December 09, 2010; Accepted date: December 28, 2010; Published date: December 30, 2010

Citation: Gosselin M, Charabidze D, Frippiat C, Bourel B, Gosset D, et al. (2010) Development Time Variability: Adaptation of Régnière’s Method to the Intrinsic Variability of Belgian Lucilia Sericata (Diptera, Calliphoridae) Population. J Forensic Res 1:109. doi:10.4172/2157-7145.1000109

Copyright: © 2010 Gosselin M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Development times and survivorship of Lucilia sericata (Meigen, 1826) were measured for different constant temperatures. In addition, lower threshold (tL) and thermal constant (Kt) were estimated for a local population. The estimated development time calculated from mean or minimum development time induces a bias that may be reduced using a model of intrinsic variability. In order to quantify variation in emergence rate during the development time, a simulation method was developed by adapting the Régnière’s method. The adapted model allowed accurate prediction of the emergence profile of L. sericata at constant temperature in the linear portion of the development curve. We believe that the application of this method in forensic entomology cases could increase the reliability of the conclusions of an entomological Post Mortem Interval (PMI) estimation.


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