地标点法在夜蛾昆虫数字化分类中的应用研究
|
摘要
为探讨地标点法在夜蛾昆虫分类中应用的可行性,本文以13种夜蛾昆虫为对象进行数字化分类研究。首先,利用TpsDig 2软件在夜蛾前、后翅上提取12个地标点,再利用多元统计分析对消除非形状因素信息的地标点坐标进行方差分析和判别分析。研究结果表明对夜蛾前翅特征进行判别分析的准确率为88.7%,对夜蛾前后翅特征进行判别分析的准确率为97.9%,利用前后翅特征对13种夜蛾进行数字化分类的准确率明显高于仅用前翅的结果。研究表明利用蛾翅的地标点特征可以实现夜蛾昆虫的数字化分类。
To attest the feasibility of landmarks on digital classification of noctuid moths, thirteen noctuid species were taken as example to be classified. Firstly, twelve landmarks form front and hind wings were selected by using software TpsDig 2. Secondly, multivariate statistical analysis was used to remove non-shape variation form landmark coordinates which were applied to variance analysis and discriminant analysis. The data showed that accuracies of discriminant analysis used to characteristics from front wing only and front and hind wings both were 88.7% and 97.9% respectively. So, the latter was apparently higher than the former. The results indicated that landmarks could be used for digital classification of noctuid moths.
To attest the feasibility of landmarks on digital classification of noctuid moths, thirteen noctuid species were taken as example to be classified. Firstly, twelve landmarks form front and hind wings were selected by using software TpsDig 2. Secondly, multivariate statistical analysis was used to remove non-shape variation form landmark coordinates which were applied to variance analysis and discriminant analysis. The data showed that accuracies of discriminant analysis used to characteristics from front wing only and front and hind wings both were 88.7% and 97.9% respectively. So, the latter was apparently higher than the former. The results indicated that landmarks could be used for digital classification of noctuid moths.
引文
Bai Y, Dai DF, Bao KO,et al. Using geometric morphometrics to quantify the sexual dimorphism of Pantala flavescens [J]. Chinese Journal of Applied Entomology, 2015, 52 (2): 363-369. [白义, 戴董峰, 包克瓯, 等. 基于几何形态测量学的黄蜻翅的雌雄二态性研究 [J]. 应用昆虫学报, 2015, 52 (2): 363-369]
Cai XN, Huang DZ, Shen ZR,et al. Systematic research on the classification of moths using math-morphological characters of wings.Ⅰ. Superfamily level [J]. Journal of China Agricultural University, 2013, 18 (4): 96-104. [蔡小娜, 黄大庄, 沈佐锐, 等. 利用翅的数学形态特征对蛾类昆虫进行分类鉴定的系统研究(Ⅰ)在总科级阶元上的应用研究 [J]. 中国农业大学学报, 2013, 18 (4): 96-104]
Cai XN, Gao LW, Huang DZ,et al. Systematic research on application of math-morphological characters of moth wings to classification and identification of moths.Ⅱ. at family level [J]. Journal of China Agricultural University, 2013, 18 (4): 96-103. [蔡小娜, 高灵旺, 黄大庄, 等. 蛾翅数学形态特征在蛾类昆虫分类鉴定中应用的系统研究(Ⅱ)在科级阶元上的应用研究 [J]. 中国农业大学学报, 2013, 18 (5): 96-103]
Li HQ, Lu HB. Insect classification and retrieval system based on web technology [J].Journal of Environmental Entomology, 2014, 36 (2): 265-270. [李鸿强, 卢海博. 基于Web的昆虫分类与检索系统实现 [J]. 环境昆虫学报, 2014, 36 (2): 265-270]
Li RR, Li CS, Zhang HF. Geometric morphometrics and its advances in Hemiptera [J]. J.Shanxi Agric.Univ. (Natural Science Edition), 2016, 36 (4): 235-241. [李荣荣, 李生才, 张虎芳. 几何形态测量学及其在半翅目中的研究进展 [J]. 山西农业大学学报(自然科学版), 2016, 36 (4): 235-241]
Pan PL, Yang HZ, Shen ZR, et al. Research on applying vein feature for mathematical morphology in classification and identification of butterflies (Lepidoptera: Rhopalocera) [J]. Entomotaxonomia, 2008, 30 (2): 151-160. [潘鹏亮, 杨红珍, 沈佐锐, 等. 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, 2008, 30 (2): 151-160]
Pan PL, Shen ZR, Yang HZ,et al. Digital character extraction and primary analysis of venation of three parnassian butterflies (Lepidoptera, Papilionidae) [J]. Acta Zootaxonomica Sinica, 2008, 33 (3): 566-571. [潘鹏亮, 沈佐锐, 杨红珍, 等. 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, 2008, 33 (3): 566-571]
Rohlf FJ. Shape statistics: Procrustes superimpositions and tangent spaces [J].Journal of Classification, 1999, 16: 197-223.
Yan BR, Hua BZ. Geometric morphometrics and its application in the systematics and phylogenetics of insects [J].Entomotaxonomia, 2010, 32 (4): 313-320. [闫宝荣, 花保祯. 几何形态测量学及其在昆虫分类学和系统发育中的应用 [J]. 昆虫分类学报, 2010, 32 (4): 313-320]
Zhang XX, Guan DL, Qin KH,et al. Geometric morphometric analyses on the wing-shape variation in five Apis cerana cerana populations from Qinling mountains [J]. Journal of Shaanxi Normal University (Natural Science Edition), 2017, 45 (2): 71-74. [张秀秀, 管德龙, 覃凯华, 等. 秦岭地区中华蜜蜂5个地理种群翅形态差异的几何形态测量学研究 [J]. 陕西师范大学学报(自然科学版), 2017, 45 (2): 71-74]
Zhao HQ, Shen ZR, Yu XW. On computer-aided insect identification through math-morphology features [J]. Journal of China Agricultural University, 2002, 7 (3): 38-42. [赵汗青, 沈佐锐, 于新文. 数学形态特征应用于昆虫自动鉴别的研究 [J]. 中国农业大学学报, 2002, 7 (3): 38-42]
Zhao HQ, Shen ZR, Yu XW. Use of math-morphological features in insect taxonomy. I. at the order leve1 [J].Acta Entomologica Sinica, 2003, 46 (1): 45-50. [赵汗青, 沈佐锐, 于新文. 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, 2003, 46 (1): 45-50]
Cai XN, Huang DZ, Shen ZR,et al. Systematic research on the classification of moths using math-morphological characters of wings.Ⅰ. Superfamily level [J]. Journal of China Agricultural University, 2013, 18 (4): 96-104. [蔡小娜, 黄大庄, 沈佐锐, 等. 利用翅的数学形态特征对蛾类昆虫进行分类鉴定的系统研究(Ⅰ)在总科级阶元上的应用研究 [J]. 中国农业大学学报, 2013, 18 (4): 96-104]
Cai XN, Gao LW, Huang DZ,et al. Systematic research on application of math-morphological characters of moth wings to classification and identification of moths.Ⅱ. at family level [J]. Journal of China Agricultural University, 2013, 18 (4): 96-103. [蔡小娜, 高灵旺, 黄大庄, 等. 蛾翅数学形态特征在蛾类昆虫分类鉴定中应用的系统研究(Ⅱ)在科级阶元上的应用研究 [J]. 中国农业大学学报, 2013, 18 (5): 96-103]
Li HQ, Lu HB. Insect classification and retrieval system based on web technology [J].Journal of Environmental Entomology, 2014, 36 (2): 265-270. [李鸿强, 卢海博. 基于Web的昆虫分类与检索系统实现 [J]. 环境昆虫学报, 2014, 36 (2): 265-270]
Li RR, Li CS, Zhang HF. Geometric morphometrics and its advances in Hemiptera [J]. J.Shanxi Agric.Univ. (Natural Science Edition), 2016, 36 (4): 235-241. [李荣荣, 李生才, 张虎芳. 几何形态测量学及其在半翅目中的研究进展 [J]. 山西农业大学学报(自然科学版), 2016, 36 (4): 235-241]
Pan PL, Yang HZ, Shen ZR, et al. Research on applying vein feature for mathematical morphology in classification and identification of butterflies (Lepidoptera: Rhopalocera) [J]. Entomotaxonomia, 2008, 30 (2): 151-160. [潘鹏亮, 杨红珍, 沈佐锐, 等. 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, 2008, 30 (2): 151-160]
Pan PL, Shen ZR, Yang HZ,et al. Digital character extraction and primary analysis of venation of three parnassian butterflies (Lepidoptera, Papilionidae) [J]. Acta Zootaxonomica Sinica, 2008, 33 (3): 566-571. [潘鹏亮, 沈佐锐, 杨红珍, 等. 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, 2008, 33 (3): 566-571]
Rohlf FJ. Shape statistics: Procrustes superimpositions and tangent spaces [J].Journal of Classification, 1999, 16: 197-223.
Yan BR, Hua BZ. Geometric morphometrics and its application in the systematics and phylogenetics of insects [J].Entomotaxonomia, 2010, 32 (4): 313-320. [闫宝荣, 花保祯. 几何形态测量学及其在昆虫分类学和系统发育中的应用 [J]. 昆虫分类学报, 2010, 32 (4): 313-320]
Zhang XX, Guan DL, Qin KH,et al. Geometric morphometric analyses on the wing-shape variation in five Apis cerana cerana populations from Qinling mountains [J]. Journal of Shaanxi Normal University (Natural Science Edition), 2017, 45 (2): 71-74. [张秀秀, 管德龙, 覃凯华, 等. 秦岭地区中华蜜蜂5个地理种群翅形态差异的几何形态测量学研究 [J]. 陕西师范大学学报(自然科学版), 2017, 45 (2): 71-74]
Zhao HQ, Shen ZR, Yu XW. On computer-aided insect identification through math-morphology features [J]. Journal of China Agricultural University, 2002, 7 (3): 38-42. [赵汗青, 沈佐锐, 于新文. 数学形态特征应用于昆虫自动鉴别的研究 [J]. 中国农业大学学报, 2002, 7 (3): 38-42]
Zhao HQ, Shen ZR, Yu XW. Use of math-morphological features in insect taxonomy. I. at the order leve1 [J].Acta Entomologica Sinica, 2003, 46 (1): 45-50. [赵汗青, 沈佐锐, 于新文. 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, 2003, 46 (1): 45-50]