College of Allied Health Science, Suan Sunandha Rajabhat University, Samut Songkhram 75000, Thailand.
Biomed Res Int. 2018 Nov 6;2018:6170502. doi: 10.1155/2018/6170502. eCollection 2018.
It is often challenging to identify mosquito vectors in the field based on morphological features due to their similar morphologies and difficulties in obtaining undamaged samples but is required for their successful control. Geometric morphometrics (GM) overcomes this issue by analyzing a suite of traits simultaneously and has the added advantages of being easy to use, low cost, and quick. Therefore, this research compared the efficiency and precision of landmark- and outline-based GM techniques for separating species of mosquitoes in Huay Nam Nak village, Ratchaburi Province, Thailand. This research collected 273 individuals belonging to seven species: , , , , , , and . Both landmark-based and outline-based GM techniques could identify malaria vectors in this area to the genus level successfully and were also very effective for identifying the malaria vectors spp. and the dengue vectors spp. to the species level. However, they were less effective for distinguishing between species of . Therefore, GM represents a valuable tool for the identification of mosquito vectors in the field, which will facilitate their successful control.
由于形态相似且难以获得完整无损的样本，基于形态特征在野外识别蚊虫媒介通常具有挑战性，但这对于成功控制蚊虫至关重要。几何形态测量学（GM）通过同时分析一系列特征来解决这个问题，并且具有易于使用、成本低、速度快等优点。因此，本研究比较了基于地标和轮廓的 GM 技术在分离泰国叻丕府华楠纳克村蚊子物种方面的效率和精度。本研究共收集了 273 只属于 7 个物种的个体：、、、、、和。基于地标和轮廓的 GM 技术都能够成功地将该地区的疟疾媒介识别到属的水平，对于识别疟疾媒介 和登革热媒介 也非常有效，能够识别到种的水平。然而，它们对于区分 种的效果较差。因此，GM 代表了一种在野外识别蚊虫媒介的有价值的工具，这将有助于成功控制蚊虫。
