关键词: 黑斑狗鱼, 形态性状, 相关分析, 通径分析, 多元回归方程

Abstract: The relationship between morphometric attributes and body weight ofEsox reichrti Dyhowsk were analyzed on the basis of the measurement of 13 morphometric attributes form 332 E. reichrti in this study. Total length（X1）, standard length（X2）, head length（X3）, snout length（X4）,body width（X5）, head width（X6）, interorbital distance（XT）, body depth（Xs）, head depth（Xg）, caudal peduncle depth（X10）, caudal peduncle length （X11）, oral fissure width （X10）, oral fissure length （Xn）and body weight （Y） were measured. The correlation coefficients and path coefficients were calculated by correlation analysis, path analysis and multiple regression analysis. The results showed that all the correlation coefficients between each independent variable and dependent variable （body weight） were all at significant level （P〈0.05） or extremely significant level （P〈0.01） excepting for the correlation coefficients between head length and body weight of 0^＋ years old. There were some differences on path coefficients of Esox reichrti from different years old. While the pathcoefficients of standard length and head depth to body weight all achieved very significant level （P〈0.01）, among them standard length was the most predominant variable to affect body weight, and it was a key effective factor to body weight. The results of determinant coefficients analysis revealed that the determinant coefficients of standard length gave a predominant determinative effect, whereas the others exhibited a slight direct effect and significant indirect effect on the body weight via standard length. The diversification of determinant coefficients analysis was consistent with that of path analysis. The high value of multiple correlation index R2 〉0.85 between morphometric attributes and body weight suggested that the selected attributes were practical. The morphometric attributes were used to establish the multiple regression equations as LgY = -1.411 ＋ 0.395Lg X8 ＋ 0.576Lg X1 ＋ 0.092Lg X10＋ 0.538Lg X7＋ 0.35Lg X6;LgY = -4.132 ＋ 0.866Lg X1 ＋ 0.102Lg X12 ＋ 0.083Lg X7;LgY -4.186 ＋ 0.772Lg Xj ＋ 0,195Lg X7;LgY = -2.542 ＋ 0.372Lg X1 ＋ 0.185Lg X3 ＋ 0.256Lg X5＋ 0.23Lg X7;LgY =-4.585 ＋ 0.816Lg X1 ＋ 0.178Lg X7 for 0＋ to 4＋years old. This paper provided theoretical evidence and perfect measure target for breeding of E. reichrti in aquaculture.

Key words: Esox reichrti Dyhowsk, morphometric attribute, correlation analysis, path analysis, multiple regression equation