Studies on Time Duration of Life Stages of Chrysomya megacephala and Chrysomya rufifacies (Diptera: Calliphoridae) during Different SeasonsShabnamnaz Siddiki* and Zambare SP
Department of Zoology, Dr. Bababsheb Ambedkar Marathwada University, Aurangabad, (M.S.) India
- Corresponding Author:
- Shabnamnaz Siddiki
Dr Babasaheb Ambedkar Marathwada University
Near Soneri Mahal Jaisingpuara, Aurangabad
Maharashtra 431004, India
Received Date: April 08, 2017; Accepted Date: May 24, 2017; Published Date: May 29, 2017
Citation: Siddiki S, Zambare SP (2017) Studies on Time Duration of Life Stages of Chrysomya megacephala and Chrysomya rufifacies (Diptera: Calliphoridae) during Different Seasons. J Forensic Res 8:379. doi:10.4172/2157-7145.1000379
Copyright: © 2017 Siddiki S, 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.
Accurate estimation of post mortem interval (PMI) can be crucial to the successful investigation of suspicious death. The forensic indicator blowflies are essential for accuracy in estimation of PMI. The Calliphoridae species Chrysomya megacephala and Chrysomya rufifacies were reared in laboratory condition for studying their time duration of different stages under the fluctuating temperature in three different seasons (i.e. rainy season, winter season and summer season).
In laboratory, at the fluctuating temperature during rainy season, winter season and summer season, Chrysomya megacephala took 237 hours 47 minutes, 263 hours 51 minutes and 211 hours 13 minutes respectively. Whereas the Chrysomya rufifacies took 239 hours 14 minutes, 286 hours 02 minutes and 216 hours 26 minutes during rainy season, winter season and summer season respectively.
This study shows that forensic investigators will have to take each of these variables into consideration from the development of insects in order to give a more accurate estimate of PMI.