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利用翅的数学形态特征对8种金龟子进行分类鉴定 被引量:8

Using math-morphological characters of wings for classification and identification of eight species of Scarabaeoidae
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摘要 为探讨金龟子前翅数学形态特征用于金龟子分类及亲缘关系判别的可行性,以丽金龟科、花金龟科和鳃金龟科3个科8种金龟子为研究对象,应用BugShape 1.0软件提取金龟子右鞘翅偏心率、叶状性、球状性、似圆度、紧凑度和7个Hu不变矩等12项数学形态特征,最后进行方差分析和聚类分析。方差分析结果表明所提取的特征参数在种内无显著差异(Sig>0.01),而在种间差异极显著(Sig<0.01),说明形态特征参数均能用于金龟子分类鉴定。聚类分析结果表明,从数学形态学角度出发,8种金龟子亲缘关系远近为小青花金龟子与白星花金龟子,大云斑鳃金龟子与华北大黑鳃金龟子,苹毛金龟子与黑绒金龟子的亲缘关系较近,而铜绿丽金龟子与黄褐金龟子与其他种类的亲缘关系较远。 To investigate the feasibility of using mathematic characteristic of the right wing to classify and distinguish genetic relationship,8species of beetles,which belong to Rutelidae,Cetoniidae,and Melolonthidae families,were used as the study object.Twelve mathematic characteristic including eccentricity,leaf,sphere,circle,compactness and movement invariants(Hu1,Hu2 and Hu7)were drawn using BugShape 1.0.The results showed that there were no significant differences within same species,whereas a highly significant difference appeared between different species,indicating that 12 mathematic characteristic can be used for classification and identification.Clustering analysis results manifested that relationship of Oxycetonia jucunda and Potosia brevitarsis,Polyphylla laticollis and Holotrichia diomphalia,Polyphylla laticollis and Holotrichia diomphalia were near respectively,while Anomala corpulenta and Anomala exoleta Faldermann were far from others.
出处 《中国农业大学学报》 CAS CSCD 北大核心 2016年第7期61-66,共6页 Journal of China Agricultural University
基金 国家林业局"948"项目(2013-4-75)
关键词 金龟子 鞘翅 数学形态特征 分类鉴定 scarabaeoidae shard math-morphological character classification and identification
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  • 1张方樱,巢佰崇,陈雪丰.车牌自动识别系统[J].地理空间信息,2005,3(3):49-50. 被引量:4
  • 2赵荣椿.数字图象处理导论[M].西安:西北工业大学出版社,1996..
  • 3Balck K. Partivle shap characterization of sand [J].Mikroskopie, 1980, 37: 396- 399.
  • 4Yonekawa S, Sakai N, Kitani O. Identification for idealized leaf types using simple dimensionless shape factors by image analysis [J]. Trans ASAE 1996, 39(4) : 1525 - 1533.
  • 5Pankhurst R. Biological identificationpm [ M]. London: Arnold, 1978.
  • 6Yu D S, Kokko E G, Barron J R, et al. Identification of ichneumonid wasps using image analysis of wings [J]. Systematic Entomology, 1992, 17: 386- 395.
  • 7Liu J D. The expert system for identification of Tortricinae(Lepidoptera) using image analysis of venation [J]. Entomologia-Sinica, 1996, 3 : 1 - 8.
  • 8Weeks P J D, Gauld I D, Gaston K J, et al. Automating the identification of insects: a new solution to an old problem[J]. Bulletin of Entomological Research, 1997, 87 : 203-211.
  • 9White I M, Scott P R. Computer information resources for pest identification: A review [A]. In: Hawksworth D L, ed.The Identification and Charaterisation of Pest Organism [ C].Wallingfor: CAB International, 1994.
  • 10Li Z H, Shen Z R, Yang M H, et al. Computer- aided technology for regional vegetable pest management towards agricultural sustainability [ J ]. Ecology Engineering, 1998,11:37-43.

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