Evaluation of the wing cell contour to distinguish between Stomoxys bengalensis and Stomoxys sitiens (Diptera: Muscidae) using outline-based morphometrics
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Issued Date
2024-01-01
Resource Type
eISSN
2667114X
Scopus ID
2-s2.0-85199871783
Journal Title
Current Research in Parasitology and Vector-Borne Diseases
Volume
6
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SCOPUS
Bibliographic Citation
Current Research in Parasitology and Vector-Borne Diseases Vol.6 (2024)
Suggested Citation
Weluwanarak T., Chaiphongpachara T., Changbunjong T. Evaluation of the wing cell contour to distinguish between Stomoxys bengalensis and Stomoxys sitiens (Diptera: Muscidae) using outline-based morphometrics. Current Research in Parasitology and Vector-Borne Diseases Vol.6 (2024). doi:10.1016/j.crpvbd.2024.100204 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/100222
Title
Evaluation of the wing cell contour to distinguish between Stomoxys bengalensis and Stomoxys sitiens (Diptera: Muscidae) using outline-based morphometrics
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Abstract
The blood-sucking flies of the genus Stomoxys Geoffroy, 1762 (Diptera: Muscidae) are significant ectoparasites that can cause irritation and transmit pathogens to both animals and humans. Within the genus Stomoxys, two species, Stomoxys bengalensis and Stomoxys sitiens, have similar morphology and coexist in the same habitat. Accurate species identification of these flies is crucial for understanding disease vectors and implementing effective control measures. In this study, we assessed the effectiveness of outline-based geometric morphometrics (GM) by analyzing the wing cell contour of the first posterior cell (R5) to distinguish between species and sexes of S. bengalensis and S. sitiens. Our results demonstrate that the outline-based GM method is highly effective in distinguishing between species and sexes of these flies based on contour shape, with accuracy scores ranging from 90.0% to 97.5%. Therefore, outline-based GM emerges as a promising alternative to landmark-based GM or as a supplementary tool in conjunction with traditional morphology-based methods for species identification.