首页> 外文期刊>The Southeast Asian journal of tropical medicine and public health >WING MORPHOMETRIC ANALYSIS OF BLOW FLIES FOR SPECIES IDENTIFICATION: INTRA- AND INTER-INDIVIDUAL VARIATIONS IN CHRYSOMYA MEGACEPHALA (FABRICIUS) AND CHRYSOMYA RUFIFACIES (MACQUART)
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WING MORPHOMETRIC ANALYSIS OF BLOW FLIES FOR SPECIES IDENTIFICATION: INTRA- AND INTER-INDIVIDUAL VARIATIONS IN CHRYSOMYA MEGACEPHALA (FABRICIUS) AND CHRYSOMYA RUFIFACIES (MACQUART)

机译:翼形态学分析物种抗蝇鉴定:克莱豆肉豆(Fabricius)和Chrysomya Rufifacies(Macqualt)内闭球间变异

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Species identification of blow flies is the initial step used in forensic investigation. Identification techniques usually are based on morphology and molecular analysis, the former requiring an experienced taxonomist while the latter laboratory expertise and considerable expense. Landmark-based geometric morphometric analysis is being widely used as an alternative technique in species identification as it is simple to perform at low-cost and requires only basic training. However, it is recommended using the same individual in digitizing the landmark coordinates to reduce measurement error, but the results from using many individuals to digitize the landmark coordinates have not been addressed in detail. Here, intra-individual and inter-individual variations in the digitization wings of Chrysomya megacephala and Chrysomya rufifacies, the two forensically important blow fly species, were assessed. Five individuals digitized 19 landmarks on the right wing of each species using the same photograph, performed in duplicate. Analysis of the results using Procrustes ANOVA demonstrated low (8.9-19.0%) measurement error of intra-individual variations but higher (23.1%) for that of inter-individual variations. Based on discriminant function analysis, C. megacephala wing shape was clearly differentiated from that of C. rufifacies with high reliability. A cross-validation test indicated high (93.3-100%) accuracy of recognition of C. megacephala intra-individual variations and 100% accuracy for inter-individual variations, while that of recognition of C. rufifacies was 100% for both intra- and inter-individual variations. Thus, although measurement error was obtained from both intra- and inter-individual variations, correct identification of C. megacephala and C. rufifacies was achieved.
机译:吹动苍蝇的物种是法医调查中使用的初始步骤。鉴定技术通常基于形态和分子分析,前者需要经验丰富的分类家,而后者实验室专业知识和相当大的费用。基于地标的几何形态学分析被广泛用作物种识别中的替代技术,因为它以低成本执行简单,只需要基本训练。但是,建议使用相同的个人在数字化地标坐标时进行数字化以减少测量误差,但是使用许多个人来数字化地标坐标的结果尚未详细介绍。这里,评估蛹梅昔粒菌和蛹卷曲的数字化翅膀的个体和间间变异,这两个法对重要的吹蝇种。五个个人使用相同的照片在每个物种的右翼上数字化19个地标,重复进行。使用Procrustes Anova的结果分析,显示出单独的内部变化的低(8.9-19.0%)测量误差,但为单独的间变型进行更高(23.1%)。基于判别函数分析,C. Megacephala翼形状明显地与高可靠性的C. Rufifacies的含义。交叉验证测试表明C. megacephala内部变化的高(93.3-100%)的识别准确性和单独的间间变异的100%精度,而C. rufifacies的识别均为100%,而且个人间变异。因此,尽管从内单个间变化中获得测量误差,但达到了C. megacephala和C. rufifacies的正确鉴定。

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