Based on nine morphological characters of populations of Tegillarca granosa from Guangxi, Zhejiang, Shandong,of China and Lishui, Korea, multivariate morphometrics was used to investigate their morphological variation...Based on nine morphological characters of populations of Tegillarca granosa from Guangxi, Zhejiang, Shandong,of China and Lishui, Korea, multivariate morphometrics was used to investigate their morphological variations among the four different geographical populations. ANOVA indicated that four populations showed significant morphological variations respectively (P <0.01). In the result of principal component analysis, two principal components (PC) were constructed by factor loading, in which the first principal component (PC1) was affected by shell width, shell height and shell moisture weight, and the PC2 was affected by hinge tooth, and the contributory ratios of two PC were 41.02% and 20.41%, respectively. The results of principal component analysis and cluster analysis revealed that the morphological chTegillraca granosa from Zhejiang population and Shandong population were similar. The discriminant functions of four populations were established, and the discriminant accuracy was 90.80%, 80.89%, 71.76%, and 97.46% respectively, so the average discriminant accuracy was 86.23%.展开更多
文摘Based on nine morphological characters of populations of Tegillarca granosa from Guangxi, Zhejiang, Shandong,of China and Lishui, Korea, multivariate morphometrics was used to investigate their morphological variations among the four different geographical populations. ANOVA indicated that four populations showed significant morphological variations respectively (P <0.01). In the result of principal component analysis, two principal components (PC) were constructed by factor loading, in which the first principal component (PC1) was affected by shell width, shell height and shell moisture weight, and the PC2 was affected by hinge tooth, and the contributory ratios of two PC were 41.02% and 20.41%, respectively. The results of principal component analysis and cluster analysis revealed that the morphological chTegillraca granosa from Zhejiang population and Shandong population were similar. The discriminant functions of four populations were established, and the discriminant accuracy was 90.80%, 80.89%, 71.76%, and 97.46% respectively, so the average discriminant accuracy was 86.23%.
