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通过聚类分析、主成分分析和判别分析等多元分析方法,对东港、绥中、秦皇岛、青岛、舟山以及珠海等6个花鲈(Lateolabrax maculatus)地理群体的8个形态比例性状进行了研究。聚类分析和主成分分析表明,6个花鲈群体可被分为两支:来自黄海、渤海海域的东港、秦皇岛、绥中和青岛群体为一支(北方群体);东海海域的舟山群体和南海海域的珠海群体为另一支(南方群体)。南北群体间有一定程度的形态分化,和舟山群体相比,珠海群体和北方群体的亲缘关系更近。主成分分析获得的3个主成分方差贡献率分别为31.726%、27.744%和14.075%,累计贡献率为73.545%。利用8个变量构建的6个地理种群的判别公式,判别准确率在63.6%~84.4%之间,综合判别准确率72.7%。本研究结果为花鲈地理种群判别、种质资源评价以及良种选育等提供了基础资料。
Eight morphological traits of six populations of Lateolabrax maculatus including Donggang, Suizhong, Qinhuangdao, Qingdao, Zhoushan and Zhuhai were studied by cluster analysis, principal component analysis and discriminant analysis. Cluster analysis and principal component analysis showed that there were two populations of six Chinese hamster perch: Donggang, Qinhuangdao, Suizhong and Qingdao from the Yellow Sea and Bohai Sea belonged to one group (northern group); Zhoushan group and The Zhuhai community in the South China Sea is another (southern group). There is a certain degree of morphological differentiation between the north and south groups, and the genetic relationship between the Zhuhai and northern populations is closer than that of the Zhoushan population. The principal component analysis of the three principal component variance contribution rates were 31.726%, 27.744% and 14.075%, the cumulative contribution rate of 73.545%. The discriminant formulas of 6 geographic populations constructed by 8 variables were used to distinguish between 63.6% and 84.4%, and the comprehensive discrimination accuracy was 72.7%. The results of this study provided the basic information for the identification of the geographical populations of seabass, germplasm resources evaluation and breeding of elite seeds.