机构地区:[1]南京师范大学生命科学学院,江苏省生物多样性与生物技术重点实验室,南京210023 [2]南京市水产科学研究所,南京210036
出 处:《海洋渔业》2015年第1期24-30,共7页Marine Fisheries
基 金:国家星火计划项目(2013GA690166);江苏省科技支撑计划(农业)项目(BE2013441);“江苏省六大人才高峰”高层次人才项目(2012-NY-032);江苏省农业科技自主创新资金项目[CX(11)1037];南京师范大学科技成果转化基金项目(2013-02);扬州市农业科技攻关计划项目(2012074);江苏省2014年度普通高校研究生实践创新计划项目(2014YY11)
摘 要:运用聚类分析、主成分分析和判别分析3种多元分析方法,对河川沙塘鳢(Odontobutis potamophila)4个不同地理群体的15项形态比例参数进行比较分析。聚类分析结果表明,河川沙塘鳢射阳群体(SY)和太湖群体(DXS)的形态最接近,与当涂群体(DT)、建德群体(JD)趋异程度较大。主成分分析构建了5个主成分,对不同群体间总变异方差的贡献率分别为18.070%、16.717%、11.374%、9.504%、7.182%,累积贡献率为62.847%。主成分分析结果表明,4个河川沙塘鳢群体在形态上的差别主要体现在体长、头长、眼后头长、体高和体厚这5个形态性状上。判别分析中采用8个不同的变量,分别建立了河川沙塘鳢4个群体的判别函数,判别准确率P1为62.0%~100.0%,判别准确率P2为62.0%~98.0%,综合判别准确率为77.0%。Odontobutis potamophila belongs to Odontobutis, it is an important species widely distributed in river systems of southeastern China, including the middle reaches and the lower reaches of Yangtze River, Qiantang River and Minjiang River systems. It is a small carnivorous fish living in benthic freshwater. Their meat is delicate, tastes delicious and is rich in nutrition, so it is very popular in the market. In recent years, biologists have done many researches on O. potamophila, but researches on genetic diversity from the perspective of quantitative morphology has not been reported yet. In order to clarify the genetic diversity of O. potamophila between different geographic populations in China from the level of morphology, and to provide certain theoretical basis for recognizing the geographic population of O. potamophila, comparing their genetic relationship, protecting germplasm resources and breeding, three kinds of multivariate analysis methods, including cluster analysis, principal component analysis and discriminant analysis were used to make comparative analysis on fifteen proportional parameters of morphological characters among four different geographic populations of O. potamophila collected from Jiande (JD) in Zhejiang province, Dangtu (DT) in Anhui province, Sheyang (SY) in Jiangsu province and Suzhou (DXS) in Jiangsu province. The results of cluster analysis showed that morphological characters were similar between SY group and DXS group, but quite different from that of DT group and JD group. Principal component analysis constructed five principal components ,and the contribution rates of total variance between different groups were 18. 070%, 16. 717%, 11. 374% ,9. 504% and 7. 182%, respectively. And the cumulative contribution rate was 62. 847%. The results of principal component analysis showed that there were some morphological differences among four different geographic populations in body length, head length, eye back length, body height and body thickness. The results of scat
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