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中国鱚(Sillago sinica)群体形态学初步研究
引用本文:张红艳,高天翔,李健,潘晓哲,张辉,张岩. 中国鱚(Sillago sinica)群体形态学初步研究[J]. 上海海洋大学学报, 2013, 22(1): 17-22
作者姓名:张红艳  高天翔  李健  潘晓哲  张辉  张岩
作者单位:中国水产科学研究院黄海水产研究所;中国海洋大学 水产学院;中国水产科学研究院黄海水产研究所;中国海洋大学 水产学院;中国海洋大学 水产学院;中国水产科学研究院黄海水产研究所
基金项目:海洋公益性行业科研专项(201105005)
摘    要:对东营、青岛和温州近海的中国(Sillago sinica)3个地理群体共69尾样品进行了常规形态特征测定,以框架测量法测定了18个框架数据,并基于多变量分析法对测量数据进行了统计分析。研究结果表明,中国不同地理群体可数性状上均无显著差异;单因子方差分析结果显示,在27个形态特征值中,东营群体与青岛和温州群体间分别有17个和14个变量存在显著差异,温州和青岛群体间仅有6个变量存在显著差异;聚类分析结果显示,群体间存在交叉现象,无法检测到与地理相对应的分支类群;根据第一和第二主成分构建的散布图显示,东营群体个体相对集中。以上实验结果均表明,中国3个群体间存在一定程度的形态差异,东营群体与其它两群体间形态差异较大。该研究为中国种群研究提供了形态学依据,为其研究的深入开展奠定了基础。

关 键 词:中国  形态特征  框架法  多元分析
收稿时间:2012-07-06
修稿时间:2012-09-25

Preliminary biological study on morphology of Sillago sinica populations
Zhang-Hongyan,Gao-Tianxiang,Li-Jian,Pan-Xiaozhe,Zhang-Hui and Zhang-Yan. Preliminary biological study on morphology of Sillago sinica populations[J]. Journal of Shanghai Ocean University, 2013, 22(1): 17-22
Authors:Zhang-Hongyan  Gao-Tianxiang  Li-Jian  Pan-Xiaozhe  Zhang-Hui  Zhang-Yan
Affiliation:1(1.Yellow Sea Fisheries Research Institute,Chinese Academy of Fishery Sciences,Qingdao 266071,Shandong,China;2.College of Fisheries and Life Science,Shanghai Ocean University,Shanghai 201306,China;3.Fisheries College,Ocean University of China,Qingdao 266003,Shandong,China)
Abstract:The morphological differences among three populations of Sillago sinica,from Dongying, Qingdao and Wenzhou were studied in the present paper, based on multivariate statistical analysis. 17 traditional morphological characters and 18 truss morphological characters of 69 specimens were measured . No significant difference was found on meristic characters of S. sinica among the three populations. The result of one way ANOVA indicates that 17 and 14 morphological parameters are significantly different between the populations of Dongying and Qingdao and the populations of Dongying and Wenzhou respectively. However, only 6 morphological parameters are found to be significantly different between the populations of Qingdao and Wenzhou. No distinct groups that correspond to the sampling locations are found in cluster analysis. Discriminant analysis of 27 morphological parameters shows that there are extremely significant differences among the three populations of S. sinica (P<0.01) with the discriminant accuracy reaching 97.1%. Principal component analysis separates the population of Dongying from the other two populations. The present paper offers morphological basis for further studies of population analysis of S. sinica.
Keywords:Sillago sinica   morphology   truss method   multivariate analysis
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