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Classifying Vistula and Pomeranian sea trout populations using discriminant functions based on selected scale characters

机译:使用基于选定尺度特征的判别函数对维斯杜拉河和波美拉尼亚海鳟种群进行分类

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Classifying Vistula and Pomeranian sea trout populations using discriminant functions based on selected scale charactersThis paper presents the results of studies of the effectiveness of a discriminant function system based on selected scale characters of sea trout populations from the Vistula River and Pomerania. Selected parameters of sea trout scales from comparable groups from the period prior to the mixing of the two populations were compiled and function effectiveness was tested. The reference discriminant functions obtained were used to classify the individuals from the mixed stock into corresponding groups. The best results (89.7% conformity) were obtained by applying the discriminant function to classify Vistula sea trout from the winter spawning run from Pomeranian sea trout. The lowest conformity at 64.6% was noted for the function segregating the sea trout from the two Vistula spawning runs. Discriminant analysis of the scale parameters and body length can be used in selection procedures which are used in the program to restore migratory fish species to Poland.
机译:使用基于选定尺度特征的判别函数对维斯杜拉河和波美拉尼亚海鳟种群进行分类本文介绍了基于维斯杜拉河和波美拉尼亚海鳟种群的选定尺度特征的判别函数系统有效性的研究结果。从两个种群混合之前的时期开始,从可比较的群体中选择海鳟鳞片的选定参数,并对功能有效性进行测试。使用获得的参考判别函数将来自混合股票的个体分类为相应的组。通过应用判别函数对波美拉尼亚海鳟冬季产卵中的维斯杜拉海鳟进行分类,可获得最佳结果(89.7%合格)。注意到最低的合格率为64.6%,这是因为将海鳟与两次维斯瓦河产卵活动隔离开来的功能。规模参数和体长的判别分析可用于选择程序,该程序用于将to游鱼类恢复到波兰。

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