Truss network data were collected and investigated in order to clarify the morphological variation in populations of Coilia mystus from three Chinese estuaries. Nineteen morphometric measurements were made for each in...Truss network data were collected and investigated in order to clarify the morphological variation in populations of Coilia mystus from three Chinese estuaries. Nineteen morphometric measurements were made for each individual, and Burnaby＇s multivariate method was used to obtain size-adjusted shape data. The cluster analysis and discriminant analysis were used to discriminate morphological differences among populations. The results indicated that 1） the three populations were clustered into two distinct groups： the first group included Changiiang C. mystus and Zhujiang C. mystus, the last one included Minjiang C. mystus, and 2） discriminant analysis with selected 5 morphological parameters showed that the identification accuracy was between 98.7952% and 100%, and global identification accuracy was 99.2933%. Reproductive isolation and adaption to environmental condition are determinant factors for morphological variation between populations of C. mystus.展开更多
基金The author would like to thank Mrs. Jindi Han, Mr. Xiaoguo Li, Mr. Guomin He, Mr. Zhenran Chen, and Dr. Jixing Zou for assistance in sampling and data collection. This work was supported by the National Natural Science Foundation of China （No. 30600456）, Commission of Science and Technology of Shanghai, China （No. 08391910300）, Project of Keji Xing Nong of Shanghai, China （No. 2008-7-2）, open project of Key Laboratory for Sustainable Utilization of Marine Fisheries Resources Ministry of Agriculture （No. Shikai-2005-06）, and special research fund for the national non-profit institutes （East China Sea Fisheries Research Institute, Project No. 2008Z02）.
文摘Truss network data were collected and investigated in order to clarify the morphological variation in populations of Coilia mystus from three Chinese estuaries. Nineteen morphometric measurements were made for each individual, and Burnaby＇s multivariate method was used to obtain size-adjusted shape data. The cluster analysis and discriminant analysis were used to discriminate morphological differences among populations. The results indicated that 1） the three populations were clustered into two distinct groups： the first group included Changiiang C. mystus and Zhujiang C. mystus, the last one included Minjiang C. mystus, and 2） discriminant analysis with selected 5 morphological parameters showed that the identification accuracy was between 98.7952% and 100%, and global identification accuracy was 99.2933%. Reproductive isolation and adaption to environmental condition are determinant factors for morphological variation between populations of C. mystus.
