澳洲长鳍鳗各形态性状对体重的影响效果分析

随机选取澳洲长鳍鳗(Anguilla reinhardtii)1龄鱼50尾,分别测量全长、体长、背鳍长、臀鳍长、体高、头长、吻长、眼径、眼间距、口裂宽和体重共11个形态学指标。采用多元分析的方法,计算了以形态性状为自变量,体重为依变量的相关系数、通径系数、决定系数及相关指数。结果表明,除眼径和头长以外其他各形态性状与体重的相关性均达到了极显著(P<0.01)水平。剔除了通径系数未达到显著水平的变量,保留了全长、体高和口裂宽3个变量,其中全长对体重的直接影响最大(P1=0.398)。所选性状与体重的相关指数R2=0.965,说明所选性状是影响体重的主要形态性状。采用逐步多元回归方程法建立了回归方程为:Y=-1412.565+1.923X1+13.000X5+15.767X10。式中,X1、X5、X10分别为全长(mm)、体高(mm)和口裂宽(mm),为澳洲长鳍鳗育种提供了理论依据。

Mathematical Analysis of Effects of Morphometric Attributes on Body Weight for Anguilla reinhardtii

50 one-year-old Anguilla reinhardtii were random-sampled for measuring the morphometric attributes, including the total length, body length, dorsal fin length, anal fin length, body depth, head length, long kiss, diameter of eye, eye distance, mouth width and body weight. The correlation coefficients among the attributes were calculated, and then path analysis was conducted by taking the body weight as a dependent, and other ten morphometric attributes as independent variables. In addition to diameter of eye and head length outside each other morphological traits between body weight had reached very significant （P〈0.01） level. The three morphometric attributes （the total length, body depth, mouth width） were retained, and the path coefficient of the total length weighted the most （P1=0.398） to the body weight. Judged from the results of correlation index （ff=0.965）, the main variables had been selected. We had obtained the multiple regression equation to estimate the body weight as Y=-1412.565 ＋ 1.923X1 ＋ 13.000X5 ＋ 15.767X10, which provided a theoretical basis for Anguilla reinhardtii breeding.