首页 | 本学科首页   官方微博 | 高级检索  
     检索      

4个地理群体魁蚶(Scapharca broughtonii)的形态差异与判别分析
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.
作者姓名:梁 超  杨爱国  刘志鸿  周丽青  吴 彪
作者单位: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;上海海洋大学 水产与生命学院;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;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;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;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
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)
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...

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
收稿时间:2010/4/18 0:00:00
修稿时间:2010/7/12 0:00:00

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.
Keywords:Scapharca broughtonii  morphological variation  ANOVA  principal component analysis  cluster analysis  discriminant analysis
点击此处可从《海洋科学》浏览原始摘要信息
点击此处可从《海洋科学》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号