摘要
采用聚类分析、主成分分析和判别分析3种多元分析方法,结合可量性状和框架测定数据,对湛江、北部湾和阳江3个不同地理群体的多鳞鱚进行了形态差异的比较研究。可量性状及框架数据的聚类分析结果表明,湛江与北部湾群体之间的形态差异最小,而阳江群体则单独形成一个聚类分支。主成分分析显示,3个群体在主成分1和主成分2上的分化较显著,但仍有部分重叠交错现象;在主成分1分布上,3个群体中湛江和北部湾群体相对较接近,而与阳江群体稍微分离,与聚类分析结果相一致;此外,主成分分析表明,头部和尾部纵向长短对多鳞鱚3个不同地理群体间的形态差异贡献率最大。同时,通过对8个贡献率较大的形态比例参数进行逐步判别分析,建立了3个不同地理群体的判别函数,判别准确率P1、P2以及综合判别率均为100%。综合以上3种多元分析的结果表明,湛江、北部湾和阳江3个不同地理群体的多鳞鱚在形态上已产生一定程度的差异,而3种多元分析方法均具有很强的实用性,能从不同角度反映出3个不同地理群体间的形态差异。
The morphological variations among three populations of Sillago sihama,collected from Zhanjiang,Beibuwan and Yangjiang,were analyzed using three multivariate analysis methods,including cluster analysis,principal component analysis and discriminant analysis. Cluster analysis revealed that morphological traits were similar between Zhanjiang and Beibuwan populations,and clustered as one group; principal component analysis indicated that the length of head and tail made the greatest contribution to the total variance of morphological traits and truss network; discriminant analysis showed that the identification accuracy of the discriminant functions for the three populations were 100%,and the total discriminant accuracy was 100%. All together,there were some morphological differences among the three populations of Sillago sihama, and the three populations could be identified using multivariate analysis method.
出处
《安徽农业科学》
CAS
北大核心
2010年第11期5678-5681,共4页
Journal of Anhui Agricultural Sciences
基金
广东省科技厅资助项目(2006B20201003)
广东省科技计划项目(2005A20105001
2006B20701001)
关键词
多鳞鱚
地理群体
形态差异
多元分析
Sillagio sihama
Geographical populations
Morphological variation
Multivariate analysis
