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生殖季节青蛤性别与形态相关性分析
董志国1,2, 李晓英1, 程汉良1, 孟学平1, 阎斌伦1, 沈和定2, 李家乐2
1.淮海工学院 江苏省海洋生物技术重点实验室;2.上海海洋大学水产与生命学院
摘要:
运用判别分析、主成分分析和聚类分析3 种多元分析方法, 测量其11 个形态学比例参数, 对生殖季节青蛤(Cyclina sinensis Gmelin)的性别与形态相关性进行了分析。试验对象为2008 年9 月份采自连云港赣榆、2009 年5 月份分别采自连云港赣榆和海南岛海口的雌雄青蛤。将上述3 个群体独立和合并作为一个群体分别建立了4 个群体的两性判别函数。结果表明, 4 个群体的综合判别率偏低(56.25%~71.01%), 显示雌雄间形态学差异未达到显著水平(P>0.05); 主成分分析构建了3 个主成分,累计贡献率较低(58.11%~75. 64%), 说明用少数几个独立的性状因子难以概括不同性别的形态差异。聚类分析结果表明青蛤群体内部的雌雄间形态距离最近, 而不同群体的形态距离相对较远。以上3 种方法均说明不同性别的青蛤形态差异并不明显, 性别与形态不具有相关性, 从外部形态难以鉴定其雌雄。
关键词:  青蛤(Cyclina sinensis Gmelin)  性别  形态差异  多元分析
DOI:
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基金项目:农业部水产种质资源与利用重点开放实验室开放课题基金(KFT2008-4); 江苏省海洋生物技术重点实验室项目(HS2007004);连云港市科技发展计划(科技攻关CN0906)
Correlation analysis of gender and morphology of Cyclina sinensis in the reproductive season
Abstract:
Based on 11 morphological characters of Cyclina sinensis, three multivariation analysis methods (discriminant, principal component, and cluster analysis) were used to investigate the correlation of gender with morphology between male and female C. sinensis populations collected from GY (Ganyu stock in Lianyungang ) in Sept. 2008 and May 2009 and Haikou (in Hainan island) in May 2009. The male and female discriminant functions were constructed for the four populations (the three individual population and their combination into one population). The total discriminant accuracy was low (56.25%~71.01%) with no significant difference (P>0.05) between male and female in the morphological variations. By principal component analysis, three principal components were constructed, and the value of cumulative contributory ratio was 58.11%~75.64% which indicated several separate morphological factors could not describe the variation from the male and the female. The cluster analysis indicated that the morphological distance of the clam between the male and the female from the same population was shorter than that from different population. Therefore, our three multivariate analysis showed there were no significant correlation between morphology and gender.
Key words:  Cyclina sinensis  gender  morphological variation  multivariate analysis
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