应用昆虫学报 ›› 2020, Vol. 57 ›› Issue (4): 980-987.doi: 10.7679/j.issn.2095-1353.2020.101

• 研究论文 • 上一篇    

三种广翅蜡蝉前翅形态数值特征提取与分析 *

潘鹏亮1,2(), 洪枫1,2, 陈俊华1,2, 刘红敏1,2, 尹新明3,***(), 熊建伟1,2   

  1. 1. 信阳农林学院农学院,信阳 464000
    2. 河南省豫南农作物有害生物绿色防控院士工作站,信阳 464000
    3. 河南农业大学植物保护学院,郑州 450002
  • 收稿日期:2019-03-15 接受日期:2019-07-23 出版日期:2020-07-27 发布日期:2020-09-02
  • 通讯作者: 尹新明 E-mail:panpl@xyafu.edu.cn;xinmingyin@hotmail.com
  • 基金资助:
    *国家重点研发计划项目(2016YFD0200900);河南省高等学校重点科研项目计划(19A210021);河南省产业技术体系(大宗水果)(S2014-11-G03)

Extraction and analysis of numerical characteristics from forewings of three plant hopper species (Homoptera: Ricaniidae)

Peng-Liang PAN1,2(), Feng HONG1,2, Jun-Hua CHEN1,2, Hong-Min LIU1,2, Xin-Ming YIN3,***(), Jian-Wei XIONG1,2   

  1. 1. College of Agronomy, Xinyang Agriculture and Forestry University, Xinyang 464000, China
    2. Henan Provincial South Henan Crop Pest Green Prevention and Control Academician Workstation, Xinyang 464000, China
    3. College of Plant Protection, Henan Agricultural University, Zhengzhou 450002, China
  • Received:2019-03-15 Accepted:2019-07-23 Online:2020-07-27 Published:2020-09-02
  • Contact: Xin-Ming YIN E-mail:panpl@xyafu.edu.cn;xinmingyin@hotmail.com

摘要:

【目的】 广翅蜡蝉科昆虫是果园、茶园和园艺植物上的重要害虫之一,对其种类进行自动判别是实现其种群自动监测的基础。本研究拟通过获取3种广翅蜡蝉前翅轮廓特征探讨在其种类和性别鉴定中的作用。【方法】 采用图像处理与分析技术,对3种广翅蜡蝉前翅轮廓形态特征进行提取和分析,并使用SPSS v22.0对数据进行分析。【结果】 同一种广翅蜡蝉左右翅在轮廓形态上无显著差异,雌雄间各参数在不同种类广翅蜡蝉中差异性不同,其中5个实际测量参数在雌雄间差异达到显著或极显著水平,只有透明广翅蜡蝉的周长不显著。除周长和雄虫圆形度外,其它各类参数在种间的差异达到显著或极显著水平。通过典型判别分析,认为所选用的3种广翅蜡蝉,通过其前翅轮廓特征可以进行种间判别,其原始判别和交叉验证判别的正确率均超过90%。【结论】 通过提取前翅轮廓特征可以实现3种广翅蜡蝉种类的识别,为此类昆虫的自动鉴定和种群监测提供了重要的参考依据。

关键词: 特征提取, 雌雄鉴别, 种类鉴定, 自动监测, 蜡蝉

Abstract:

[Objectives] To investigate if contour features of the forewings of three Ricaniidae plant hopper species, one of the most important families of pests in orchards, tea plantations, and horticultural plants, can be used to reliably identify an individual’s species and sex. [Methods] Morphological features of the forewings of the three plant hopper species were extracted by image processing and analysis technology and the data analyzed in SPSS v22.0. [Results] There was no significant difference in the contour morphological parameters of the left and right wings of one species. However, there was a difference in these parameters between female and male adults of the other two species. Except for the perimeter measurement in Euricania clara, differences in five actual measurements were either significant, or extremely significant, between females and males. Except for the circularity measurement of males and the perimeter measurement, differences in other parameters were also significant, or extremely significant, between species. Canonical discriminant analysis indicates that these three pest species can be distinguished by their forewing contour features with an accuracy from original and cross validation discrimination of more than 90%. [Conclusion] Three kinds of plant hoppers can be reliably identified by the contour features of their forewings, which provides a method for the automatic identification and population monitoring for these pests.

Key words: feature extraction, sex discrimination, species identification, automatic monitoring, plant hopper