Multivariate Data Analysis of Body Shape and Sagittal Otoliths Morphological Variations in Two Sillago Species
In this study,Sillago sinica and S.sihama were taken as the research objects,and the multi-variate analysis of morphometric characteristics and sagittal otolith morphological indicators was performed in order to supplement the basic fisheries biological references and provide more diversified choices for species i-dentification and population discrimination of Sillago species in China.The results of countable properties showed the average numbers of anal fins(25,24)and lateral line scales(80,73)were different between S.sinica and S.sihama.The nonparametric test of measurable properties presented significant differences in 24 of the 27 morphological parameters(P＜0.05).Individuals of two species could be completely separated with a small overlapping area in the principal component analysis scatter plot.The discriminant analysis conducted based on 8 parameters with larger contribution ratios indicated that the comprehensive accuracy was up to 100％.The multivariate data analysis of sagittal otolith morphology was also conducted,and the nonparametric tests showed significant differences in 9 sagittal otolith morphological indexes(P＜0.05).Three principal com-ponents with characteristic values greater than 1 were extracted,and the cumulative contribution ratio was 91.209％.The step-by-step discriminant analysis showed that only three S.sinica individuals were misjudged as S.sihama with the discrimination accuracy ratio of 90.9％,while the discrimination accuracy ratio of S.si-hama reached 100％.The above studies revealed that two Sillago species could be effectively distinguished us-ing a comprehensive analysis of body shape and sagittal otolith morphological characteristics.
万方数据
维普
