Journal article Open Access
José Antonio Nuñez; Pablo Jarrín-V; Jonathan Liria
{ "publisher": "Zenodo", "DOI": "10.5281/zenodo.3462982", "container_title": "Halteres", "language": "eng", "title": "Wing geometric morphometrics as a tool for taxonomic identification of two fly species (Diptera: Muscidae) of forensic relevance", "issued": { "date-parts": [ [ 2019, 9, 30 ] ] }, "abstract": "<p>The taxonomic identification of fly species through wing geometry is a helpful tool for entomologists and<br>\nofficials involved in forensic research, who not necessarily require expertise on insect taxonomy.<br>\nMembers of the Muscidae family are relevant sources of evidence in forensic entomology; however,<br>\ndeveloping countries often lack experts in the taxonomical identification of essential species for the<br>\nassessment of aspects such as the minimum postmortem interval (mPMI). Our study proposes a low-cost,<br>\nfast, and technologically-accessible quantitative tool for the identification of Atherigona orientalis and<br>\nOphyra aenescens, associated with human corpses at advanced states of decomposition. We propose a tool<br>\nthat is based on the geometric variability observed in eight homologous landmarks on wing veins and the<br>\ninterpretation of morphometric estimates after a generalized Procrustes analysis. The use of a geometric<br>\napproach for effective discrimination between Atherigona orientalis and Ophyra aenescens was supported<br>\nby statistically significant differences in wing conformation and size. The evidence presented in this study<br>\nshows that the analysis of geometric variability in the wing morphology of species of forensic relevance<br>\ncan contribute to simple and objective species identification. Geometric morphometrics is a simple and<br>\nreadily available tool for forensic science.</p>", "author": [ { "family": "Jos\u00e9 Antonio Nu\u00f1ez" }, { "family": "Pablo Jarr\u00edn-V" }, { "family": "Jonathan Liria" } ], "page": "19-25", "volume": "10", "type": "article-journal", "id": "3462982" }
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