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首页> 外文期刊>Egyptian Journal of Forensic Sciences >Effect of carcass model on maggot distribution and thermal generation of two forensically important blowfly species, Chrysomya megacephala (Fabricius) and Chrysomya rufifacies (Macquart)
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Effect of carcass model on maggot distribution and thermal generation of two forensically important blowfly species, Chrysomya megacephala (Fabricius) and Chrysomya rufifacies (Macquart)

机译:car体模型对两个法医学上重要的蝇蝇Ch(Fabricius)和栗金蝇(Macquart)的got分布和生热的影响

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摘要

At feeding stage, blowfly larvae (Diptera: Calliphoridae) form aggregation to facilitate the breakdown of a human body after death. The aggregation structure of blowfly larvae could probably be different depending on fly species and food size. In forensic investigations, corpse size does not only affect the internal temperature after death, but it could also potentially influence the distribution, aggregation temperature, and species of flies that inhabit a corpse. However, there is no reference available to explain how these factors could affect maggot distribution pattern and thermal generation. The best way to answer this is by accessing blowfly aggregation on multiple forensic entomology animal models of different sizes. Thus, this research is a preliminary assessment to determine maggot aggregation structure and its thermal generation in three carcass species which are commonly used as a surrogate for human corpses in Malaysia. Frequency of Chrysomya megacephala (Fabricius) and Chrysomya rufifacies (Macquart) aggregations at a different location in carcass was determined. Aggregation temperature, depth, perimeter, area, and volume of tightly packed aggregations were measured. These variables were compared to ambient temperature and relative humidity. Correlation analysis was performed to access any relationship between each variable. Aggregation temperature was found strongly correlated to carcass temperature (r = 0.65, p  0.05), moderately correlated to carcass ground temperature (r = 0.57, p  0.05), and weakly correlated to aggregation depth (r = 0.21, p  0.05), relative humidity (r = 0.06, p = 0.35), and ambient temperature (r = 0.01, p = 0.89). The rate of carcass loss was significantly influenced by carcass model (p  0.05). The frequency of Chrysomya megacephala (Fabricius) (Diptera: Calliphoridae) aggregation was more in rat carcasses, while for rabbits and macaques, Chrysomya rufifacies (Macquart) (Diptera: Calliphoridae) was more frequent. Aggregations of Chrysomya rufifacies were frequently observed located below carcasses while Chrysomya megacephala were observed mostly in the mouth and genitalia. Chrysomya rufifacies aggregations have produced higher temperature compared to Chrysomya megacephala. Carcass model was proven to be a critical  factor in larval aggregation distribution and temperature. Therefore, this preliminary study has pointed out the necessity of proper selection of animal model for forensic entomology study. Food source characteristics, particularly body size, could play a significant factor in larval aggregation distribution and thermal generation, therefore making this factor important when making postmortem interval (PMI) estimation based on larval growth.
机译:在喂养阶段,蝇blow幼虫(双翅目:Calliphoridae)形成聚集体,以促进死亡后人体的分解。蝇蝇幼虫的聚集结构可能取决于蝇种和食物大小而有所不同。在法医调查中,尸体的大小不仅会影响死亡后的内部温度,而且还可能潜在地影响尸体上的分布,聚集温度和蝇类。但是,没有参考资料可以解释这些因素如何影响的分布方式和热量的产生。最好的解决方法是访问多个大小不同的法医昆虫学动物模型上的蝇蝇聚集。因此,这项研究是初步评估,以确定在三种car体中的聚集结构及其热量的产生,three体通常在马来西亚用作人类尸体的代用品。确定了car体中金头霉菌(Chicasomya megacephala)(Fabricius)和红果金霉菌(Chrysomya rufifacies)(Macquart)聚集的频率。测量了紧密堆积的聚集体的聚集温度,深度,周长,面积和体积。将这些变量与环境温度和相对湿度进行比较。进行相关分析以访问每个变量之间的任何关系。发现聚集温度与car体温度高度相关(r = 0.65,p <0.05),与to体地温适度相关(r = 0.57,p <0.05),与聚集深度弱相关(r = 0.21,p <0.05) ,相对湿度(r = 0.06,p = 0.35)和环境温度(r = 0.01,p = 0.89)。 car体模型显着影响loss体损失率(p(<0.05)。大鼠尸体中大头金眼菌(Fabricius)(双翅目:Calliphoridae)聚集的频率更高,而对于兔子和猕猴,红褐金眼病(Macquart)(Diptera:Calliphoridae)的聚集频率更高。经常在尸体下方观察到金黄色葡萄球菌的聚集,而大头金黄色葡萄球菌则主要在口腔和生殖器中观察到。相较于巨大头金眼菌,金眼菌聚集体产生的温度更高。 cas体模型被证明是幼虫聚集分布和温度的关键因素。因此,这一初步研究指出动物模型法医昆虫学研究的正确选择的必要性。食物的来源特征,尤其是体型,可能在幼虫聚集分布和热量产生中起重要作用,因此在根据幼虫生长进行尸检间隔(PMI)估算时,使这一因素变得很重要。

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