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引用本文:梁 超,杨爱国,刘志鸿,周丽青,吴 彪.4 个地理群体魁蚶(Scapharca broughtonii)的形态差异与判别分析[J].海洋科学,2011,35(11):108-113.
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4 个地理群体魁蚶(Scapharca broughtonii)的形态差异与判别分析
梁 超1,2, 杨爱国1, 刘志鸿1, 周丽青1, 吴 彪1
1.农业部海洋渔业资源可持续利用重点开放实验室, 中国水产科学研究院 黄海水产研究所;2.上海海洋大学 水产与生命学院
摘要:
运用多变量形态度量学分析方法对韩国统营、山东黄岛、山东蓬莱、江苏前三岛4 个地理区域的魁蚶(Scapharca broughtonii Schrenck)种群间的形态变异进行了研究。单因素方差分析(ANOVA)和Tukey 检验表明, 魁蚶不同地理种群表现出显著形态变异(P<0.05)。聚类分析结果表明, 黄岛和前三岛两个种群形态最为接近, 首先聚为一类, 然后与韩国种群聚类, 再与蓬莱种群聚类; 主成分分析构建了3 个主成分, 其贡献率PC1 为33.366%, PC2 为20.407%, PC3 为15.422%, 3 个主成分累计方差贡献率为69.195%; 建立了魁蚶4 个种群的判别函数, 其判别准确率分别为韩国通营96.4%, 山东蓬莱100%,山东黄岛84.3%, 江苏前三岛95.6%。这些数据可为魁蚶不同地理种群的识别、种质资源的可持续利用及保护提供依据。
关键词:  魁蚶Scapharca broughtonii  形态变异  方差分析  主成分分析  聚类分析  判别分析
DOI:
分类号:
基金项目:国家863 计划项目(2006AA10A408); 国家科技支撑计划项目(2006BAD01A13-6); 中央级公益性科研院所基本科研业务费项目(2007-qn-14); 国家科技基础条件平台建设项目(2006DKA30470-006)
Morphological variations and discriminant analysis of different geographical populations of Scapharca broughtonii Schrenck
Abstract:
The multivariate morphometrics based on 9 morphological characters were used to investigate the morphological variations among the four different geographical populations of S. broughtonii from Kroea and China (Shandong and Jiangsu). ANOVA and Tukey test indicated that these four populations showed significant morphological variations (P<0.05). The result of cluster analysis showed that S. broughtonii from Huangdao, Shandong and Qiansandao, Jiangsu are similar and clustered first, then clustered with S. broughtonii from Korea, and clustered with S. broughtonii from Penglai Shandong last. Three principal components were constructed in the principal component (PC) analysis by factor loading; the first principal component was mostly affected by umbo width and radial rib width; the second principal component was mostly affected by outer ligament length and dorsal brim length; and the third principal component was mostly affected by shell height and shell moisture weight. The contributory ratios of three principal components were 33.366%, 20.407% and 15.422%, respectively; and the cumulative contributory ratio was 69.195%. The discriminant functions of four populations were established and the dicriminant accuracy was 100% for the S. broughtonii from Penglai Shandong, 96.4%, 84.3%, and 95.6% for S. broughtonii from Korea, Huangdao (Shandong), and Qiansandao (Jiangsu). The result of this research can be used in discrimination of different geographical populations and sustainable utilization and protection of the breed of S. broughtonii.
Key words:  Scapharca broughtonii  morphological variation  ANOVA  principal component analysis  cluster analysis  discriminant analysis
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