| 摘要: |
| 在科分类阶元上以鳞翅目灯蛾科、刺蛾科、枯叶蛾科、天蛾科、舟蛾科和夜蛾科6科33种蛾类昆虫为研究对象,提取其前后翅图像数学形态特征即偏心率、球状性、叶状性、似圆度、矩形度、延长度和不变矩Hu1、Hu2等共计26项,分析这些特征参数在科级阶元上分类的可行性、可靠性和重要性。结果表明,筛选出6项特征参数作为科级阶元分类鉴别的指标,它们作用的大小依次为(FW矩形度、HWHu2和HW似圆度)>FW似圆度>(FWHu6和FWHu5),回归判别和交叉判别结果的正确率分别为100%和87.9%。 |
| 关键词: 蛾 翅 数字鉴定 亲缘关系 科阶元 |
| DOI：10.11841/j.issn.1007-4333.2013.05.15 |
| 投稿时间：2013-02-25 |
| 基金项目:河北省自然科学基金项目(C2012204008); 国家948项目(2013-4-75) |
|
| Systematic research on the classification of moths using math-morphological characters of wingsⅡ：Family level |
|
CAI Xiao-na1,2, GAO Ling-wang2, HUANG Da-zhuang1, WANG Zhi-gang1, SHEN Zuo-rui2
|
| (1.College of Forestry, Agricultural University of Hebei, Baoding 071000, China;2.College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China) |
| Abstract: |
| Thirty three species of moths belonging to six familys (Arctiidae,Eucleidae,Lasiocampidae,Sphingidae,Notodontidae,Noctuidae) were used in this research of math-morphology at the family level.Twenty six math-morphological characters (MMCs) of both wings were extracted,such as eccentricity,sphericity,lobation,roundness,rectangularity,elongation,and movement invariants including Hu1 and Hu2.The classificatory importance was analyzed for each MMC.The results indicated that six MMCs could be selected as the classification variables at family level.The contribution of these variables were ranked as the order of (FW-rectangularity,HW-Hu2,HW-roundness)>FW-roundness>(FW-Hu6,FW-Hu5).The accuracies of regression and intersecting discriminant analysis therein were 100.0% and 87.9%,respectively. |
| Key words: math-morphological character wings moths digital identification phylogenetic relationship family |
