【摘要】 运用多变量形态度量学方法,采用6个形态性状对褶纹冠蚌、三角帆蚌、圆背角无齿蚌、椭圆背角无齿蚌和球形无齿蚌5种蚌的种间以及地理种群间的形态变异进行了研究。主成分分析构建了2个主成分,第一主成分受4个性状的影响,贡献率为54.17%;第二主成分受1个性状的影响,贡献率为34.08%。主成分分析和聚类分析表明,褶纹冠蚌与三角帆蚌形态相近,椭圆背角无齿蚌与球形无齿蚌外形相似。方差分析和t检验表明,褶纹冠蚌和三角帆蚌的不同地理种群分别表现出形态上的变异。建立了5种蚌的判别函数,三角帆蚌和圆背角无齿蚌的判别准确率均为100%,褶纹冠蚌、椭圆背角无齿蚌和球形无齿蚌的判别准确率依次为98.92%、86.36%和96.88%,总判别准确率为97.83%。更多还原

【Abstract】 Based on 6 morphological characters of Cristaria plicata, Hyriopsis cunimgii, Anodonta woodiana pacifica, A. woodiana elloptica and A. globosula in Unionidae, multivariate morphometrics were used to investigate their morphological variations among 5 species and 6 region populations. In the result of principal component analysis, two principal components (PC) were constructed by factor loadings, in which the first principal component (PC1) was affected by 4 characters and the PC2 was affected by 1 character, and the contributory ratio of two PC was 54.17% and 34.08% respectively. The results of principal component analysis and cluster analysis revealed that the morphological character of C. plicata and H. cunimgii was similar and the morphological character was similar between A. woodiana elloptica and A. globosula. ANOVA and ttest indicated that different region populations of C. plicata and H. cunimgii showed some morphological variations respectively. The discriminant functions of five unionid species were established, and the discriminant accuracy was 100% for H. cunimgii and A. woodiana pacifica, 98.92%, 86.36%, 96.88% for C. plicata, A. woodiana elloptica and A. globosula in turn, so the average discriminant accuracy was 97.83%.更多还原