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林业科学 ›› 2026, Vol. 62 ›› Issue (10): 172-180.doi: 10.11707/j.1001-7488.LYKX20250716

• 研究论文 • 上一篇    

基于几何形态测量学的16种夜蛾(鳞翅目:夜蛾总科)前翅形态特征分析

蔡小娜1,李英毅1,潘鹏亮2,*(),周洲2,沈佐锐3   

  1. 1. 河北金融学院统计与数据科学学院 保定 071000
    2. 信阳农林学院农学院 信阳 464000
    3. 中国农业大学IPMist实验室 北京 100193
  • 收稿日期:2025-11-27 出版日期:2026-10-10 发布日期:2026-10-16
  • 通讯作者: 潘鹏亮 E-mail:panzai-7@163.com
  • 基金资助:
    国家自然科学基金项目(31870638);河南省高等学校重点科研项目(23A210028)。

Analysis on the Forewings Morphology Characteristics of 16 Species of Noctuids ( Lepidoptera: Noctuoidea) Based on Geometric Morphometry

Xiaona Cai1,Yingyi Li1,Pengliang Pan2,*(),Zhou Zhou2,Zuorui Shen3   

  1. 1. School of Statistics and Data Science, Hebei Finance University Baoding 071000
    2. College of Agronomy, Xinyang Agricultural and Forestry University Xinyang 464000
    3. IPMist Laboratory, China Agricultural University Beijing 100193
  • Received:2025-11-27 Online:2026-10-10 Published:2026-10-16
  • Contact: Pengliang Pan E-mail:panzai-7@163.com

摘要:

目的: 分析16种夜蛾成虫右前翅的几何形态特征,探讨其在分类学上的价值,为蛾类翅脉形态研究提供新的思路和方法。方法: 首先,使用tpsDig2软件依特定顺序提取样本地标点坐标数据;其次,利用普氏叠加分析种内与种间拓扑结构差异性,探究不同夜蛾在不同地标点处的形态变异程度;然后,对平均构型图数据进行可视化处理,探索16种夜蛾在不同地标点处的轴向特异性,应用薄板样条分析夜蛾右前翅各地标点的变异趋势;最后,通过判别分析构建夜蛾昆虫分类函数,并对其进行识别。结果: 1) 地标点空间拓扑结构分析结果显示,16种夜蛾种内呈现高度同源性,种间存在显著差异性。2) 普氏叠加分析表明,16种夜蛾在径脉R4、肘脉Cu2和臀脉2A与蛾翅外缘交叉点处以及径脉R1基部交叉点处呈现显著离散趋势,而在中脉M1、M2和M3与蛾翅外缘交叉点处分布较为集中。3) 轴向特异性分析显示,16种夜蛾在蛾翅翅室周围翅脉交叉点的横轴与纵轴方向存在形态差异,表明该区域种间差异主要体现在横轴方向上,而在蛾翅外缘交叉点处无明显的轴向差异。4) 薄板样条分析呈现16种夜蛾右前翅15个地标点对应蛾翅部位的变化,隶属于同一属的夜蛾种类具有相似的变化趋势。5) 测试样本的判别分析正确率达98.12%,仅有3头白斑后夜蛾被误判为陌夜蛾,其余种类均分类正确。结论: 16种夜蛾翅脉不同地标点处的离散程度和变化趋势存在显著差异,翅室周围地标点的种间差异主要体现在横轴方向上,翅室外缘横轴与纵轴方向差异不显著,结合判别分析验证了蛾翅几何形态特征在夜蛾昆虫分类鉴定中的有效性和可靠性。

关键词: 夜蛾, 蛾翅, 几何形态, 拓扑结构, 轴向特异性

Abstract:

Objective: In this study, an analysis was conducted on the geometric morphology characteristics of right forewings of 16 species of noctuid adults, which aims to provide a morphological basis for the digital classification of moths and also conduct exploratory research on insect species in the field of axial analysis. Method: Firstly, the software tpsDig2 was used to extract local landmark coordinate data in a specific order. Secondly, the Procrustes superposition analysis was conducted on the topological structure differences within and between species, and explored the degree of morphological variation of different noctuids at different landmarks. Thirdly, the data of average configuration map were visualized to explore the axial specificity of 16 species of noctuids at different landmarks. The thin plate spline analysis was used to investigate the variation trend of landmark on the right forewing of noctuids. Finally, discriminant analysis was applied to build classification function to classify and identify the noctuid insects. Result: 1) The analysis of the topological structure of landmark space showed that 16 species of noctuids exhibited high homology within species, and significant differences existed between species. 2) The Procrustes superposition diagram revealed that 16 species of noctuids exhibited a significant dispersion trend at the the crossing points of radial vein R4, elbow vein Cu2, and buttock vein 2A with the outer edge of the moth wing, as well as at the the crossing point of radial vein R1 base, while their distribution was more concentrated at the the crossing points of midrib M1, M2, and M3 with the outer edge of the moth wing. 3) Axial specificity analysis showed that there were morphological differences between the horizontal and longitudinal directions of the crossing points of the wing veins around the wing chambers of 16 noctuids, indicating that the inter species differences in this region were mainly reflected in the horizontal direction, while there were no significant axial differences at the crossing points of the outer edge of the moth wings. 4) Thin plate spline analysis presented the changes in the wing parts of 16 species of noctuids corresponding to 15 landmarks on the right forewing, and found that noctuids belonging to the same genus had similar trends in changes. 5) The discriminant analysis accuracy of the test samples was 98.12%, with only 3 Trisuloides c-album mistakenly classified as Trachea atriplicis, while the remaining 16 species of noctuids were correctly classified. Conclusion: There are significant differences in the dispersion degree and variation trend of 16 species of noctuid moths at different landmark points on the wing veins. The interspecific differences at landmarks around the wing chamber are mainly reflected in the horizontal direction, while the differences in the horizontal and longitutional directions at the outer edge of the wing chamber are not significant. Combined with discriminant analysis, the effectiveness and reliability of geometric morphological characteristics of moth wings in the taxonomic identification of noctuid insects are verified.

Key words: noctuid, moth wings, geometric morphology, topological structure, axial specificity

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