刊期:双月刊
主管单位:四川省科学技术协会
主办单位:四川省动物学会/成都大熊猫繁育研究基金会/四川省野生动植物保护协会/四川大学
地址:四川省成都市武侯区望江路29号四川大学生命科学学院内
邮编:610064
电话:028-85410485; 15881112385
传真:028-85410485
E-Mail:scdwzz@vip.163.com & scdwzz001@163.com
刊号:ISSN 1000-7083
        CN 51-1193/Q
国内发行代号:
国际发行代号:
发行范围:国内外公开发布
定价:50元/册
定价:300元/年

您所在位置:首页->过刊浏览->2017年第36卷第5期

四种网蝽科昆虫外部形态特征提取与分析
Extraction and Analysis of External Morphological Characteristics from Four Species of Lace Bugs (Hemiptera:Tingidae)
潘鹏亮1,2*, 刘红敏1,2, 张方梅1,2, 智亚楠1,2, 尹健1,2
点击:87次 下载:0次
DOI:
作者单位:1. 信阳农林学院农学院, 河南 信阳 464000;
2. 豫南植物有害生物绿色防控院士工作站, 河南 信阳 464000
中文关键字:网蝽科;几何形态;特征提取;雌雄鉴别;亲缘关系
英文关键字:Tingidae; geometrical morphology; feature extraction; gender discrimination; genetic relationship
中文摘要:随着计算机图像处理技术的发展,昆虫图像特征提取技术在昆虫分类学中的应用越来越广泛。相关的研究报道涉及到多种较大型昆虫和节肢动物,但对身体较小昆虫的外部形态特征提取与分析,及其雌雄鉴别方面的报道不多。本研究利用中国农业大学IPMist实验室开发的BugShape 1.0对体型较小的4种网蝽科Tingidae昆虫成虫进行了外部形态特征的提取,分析了所得参数在其种类和雌雄方面的差异。结果表明,获得的10个参数在4种网蝽成虫中差异均有高度统计学意义。4种网蝽雌雄成虫在面积、等效圆半径、偏心率、球状性和圆形度5个参数方面的差异有高度统计学意义,初步认为可以作为区别这4种网蝽雌雄成虫的重要指标。判别分析证明,4种网蝽交叉判别的正确率高达98.5%,对种类和性别同时进行判别时,交叉判别的正确率为85.0%。利用重心法得到的聚类分析结果符合传统昆虫分类学的结果,同一属的菊方翅网蝽Corythucha marmorata和悬铃木方翅网蝽C.ciliata优先聚为一类,其他2种网蝽先后分别聚类。本研究利用图像处理与分析技术得到的参数适合对此类昆虫进行种类和性别的鉴定,初步表明该技术在此类害虫分类鉴定中的科学性和可行性。
英文摘要:Along with the development of computer image processing techniques, the feature extraction of insect images was applied widely in the insect taxonomy. Although the published studies had reported the application of related techniques that on some relative large-sized insects and other arthropod species, little was conducted to analyze the external morphological features of small-sized insects and different gender samples. In this study, the external morphological parameters of4 lace bug species were extracted using BugShape (ver. 1.0) developed by IPMist Lab at the China Agricultural University, and then the morphological differences of inter-species and between male and female adults were analyzed. The result showed that 10 morphological parameters were significantly different among the 4 adult species. Five parameters (area, equivalent radius, eccentricity, sphericity and circularity) were considered as vital indicators for distinguishing the male and female adults in one species with highly significant difference. The result of canonical discriminant analysis indicated that the correct rate of cross-validation was 98.5% when only using species as the treatment, and was 85.0% when using species and genders as the treatments. Two lace bug species (Corythucha ciliata and C. marmorata) which belong to one genus (Corythucha) were clustered in the same group, and the others (Stephanitis nashi and Perissonemia borneenis) were clustered successively by the hierarchy cluster with the centroid method. The hierarchy cluster result was coincident with that of the traditional insect taxonomy. In conclusion, our study indicated that the basic method of feature measuring and extraction of shape features was very descriptive to the species and genders of these adult bugs, and thus demonstrated the scientificity and feasibility of this method to the classification and determination of these bugs.
2017,36(5): 531-539 收稿日期:2017-04-03
DOI:10.11984/j.issn.1000-7083.20170107
分类号:S431.9;S126
基金项目:信阳农林学院校内青年教师基金项目(201401015)
作者简介:*通讯作者:潘鹏亮,博士,讲师,主要从事昆虫学相关领域的教学和科研工作,E-mail:panzai-7@163.com
参考文献:
彩万志, 庞雄飞, 花保祯, 等. 2011. 普通昆虫学[M]. 北京:中国农业大学出版社.
蔡小娜, 黄大庄, 沈佐锐, 等. 2016. 用于昆虫分类鉴定的几何形态计量学方法研究:相对扭曲分析[J]. 生物数学学报, 31(2):254-262.
花慧贞, 邹波, 袁雄峰, 等. 2016. 八种鼠类头骨自动分科识别模型研究[J]. 农业技术与装备, 3:26-28.
南宫自艳, 李静, 白向宾. 2014. 昆虫分类学主要技术手段的研究进展[J]. 环境昆虫学报, 36(6):1004-1010.
潘鹏亮, 沈佐锐, 杨红珍, 等. 2008a. 三种绢蝶翅脉数字化特征的提取及初步分析[J]. 动物分类学报, 33(3):566-571.
潘鹏亮, 杨红珍, 沈佐锐, 等. 2008b. 翅脉的数学形态特征在蝴蝶分类鉴定中的应用研究[J]. 昆虫分类学报, 30(2):151-160.
苏筱雨, 蔡小娜, 李阳, 等. 2016. 利用翅的数学形态特征对8种金龟子进行分类鉴定[J]. 中国农业大学学报, 21(7):61-66.
项兰斌, 谢广林, 王文凯. 2016. 昆虫求偶行为在分类学上的应用[J]. 环境昆虫学报, 38(5):883-887.
徐鹏, 陈乃中, 杨定. 2010. 自动识别技术在昆虫分类鉴别研究中的应用[J]. 昆虫知识, 47(2):256-262.
于新文, 沈佐锐, 高灵旺, 等. 2003. 昆虫图像几何形状特征的提取技术研究[J]. 中国农业大学学报, 8(3):47-50.
张荣娇, 周雪婷, 唐祺玲, 等. 2016. 中国厚结猛蚁属(膜翅目:蚁科)十三种蚂蚁的形态测量学研究[J]. 应用昆虫学报, 53(5):1130-1137.
赵广宇, 李虎, 杨海林, 等. 2014. DNA条形码技术在昆虫学中的应用[J]. 植物保护学报, 41(2):129-141.
赵汗青, 沈佐锐, 于新文. 2003. 数学形态学在昆虫分类学上的应用研究 Ⅰ 在目级阶元上的应用研究[J]. 昆虫学报, 46(1):45-50.
竺乐庆, 张真. 2013. 基于稀疏编码和SCGBPNN的鳞翅目昆虫图像识别[J]. 昆虫学报, 56(11):1335-1341.
Becerra JM, Valdecasas AG. 2003. Landmark superimposition for taxonomic identification[J]. Biological Journal of the Linnean Society, 81(2):267-274.
Li R, Zhang H, Li SH, et al. 2017. Geometric morphometric analysis of Eysarcoris guttiger, E. annamita and E. ventralis (Hemiptera:Pentatomidae)[J]. Zoological Systematics, 42(1):90-101.
Macleod N. 2007. Automated taxon identification in systematics:theory, approaches and applications[M]. London, UK:CRC Press Taylor & Francis Group.
Moraes EM, Manfrin MH, Laus AC, et al. 2004. Wing shape heritability and morphological divergence of the sibling species Drosophila mercatorum and Drosophila paranaensis[J]. Heredity, 92(5):466-473.
O'Neill MA. 2007. DAISY:a practical computer-based tool for semi-automated species identification[M]//Norman M. Automated taxon identification in systematics:theory, approaches and applications. London, UK:CRC Press:101-113.
Pretorius E. 2005. Using geometric morphometrics to investigate wing dimorphism in males and females of Hymenoptera-a case study based on the genus Tachysphex Kohl (Hymenoptera:Sphecidae:Larrinae)[J]. Austral Journal of Entomology, 44(2):113-121.
Tofilski A. 2004. DrawWing, a program for numerical description of insect wings[J]. Journal of Insect Science, 17(4):1-5.
读者评论

      读者ID: 密码:   
我要评论:
国内统一连续出版物号:51-1193/Q |国际标准出版物号:1000-7083
主管单位:四川省科学技术协会  主办单位:四川省动物学会/成都大熊猫繁育研究基金会/四川省野生动植物保护协会/四川大学
开户银行:中国工商银行四川分行营业部东大支行(工行成都东大支行营业室)  帐户名:四川省动物学会  帐号:4402 2980 0900 0012 596
版权所有©2017四川动物》编辑部 蜀ICP备08107403号-3
您是本站第5907790名访问者

川公网安备 51010702000173号