Data for this study were collected from 72 Takifugu rubripes individuals. Morphometric attributes that we measured included total length (TL), body length (BL), body depth (BD), head length (HL), length between eye and head (EH), snout length (SL), mouth width (MW), eye diameter (ED), space between eye and eye (IS), caudal peduncle length (CPL), caudal peduncle depth (CPD), caudal peduncle breadth (CPB), body width (BW), trunk length (TR), trail length (TA), body girth 1 (BG1), body girth 2 (BG2), along with body weigh (BWH). The correlation coefficient matrix was calculated. The morphometric attributes were used as independent variables, and body weight was used as the dependent variable in the subsequent path analysis. Path coefficients (Pi), determination coefficients (di), and correlation index (R2) were calculated. Major morphometric attributes that affect the body weight of F. rubripes were determined. The results showed that the correlations between all morphometric attribute (independent variables) and body weight (Dependent variable) were significant (P<0.05) or very significant (P<0.01). Body girth 1 (BG1) had the dominant effect (0.533, P<0.01) and determinacy (28.41%) on the body weight, thus it was the determinant factor. Total length (TL) had large direct effect (0.369) and the least indirect effect (0.259) on the body weight. Body depth (BD) and caudal peduncle depth (CPD) exhibited small direct effect (0.228, P<0.01, and 0.145, P<0.05,) but significant indirect effect (0.363, 0.296) through affecting body girth 1 (BG) on the body weight. It is clear from the result of high multiple correlation index (R2=0.950) between morphometric attributes and body weight that the selected attributes are practically useful. The multiple linear regression equation between the independent variables and the dependent variable (body weight) was established as y = -2154.095 + 42.072x1 + 33.936x2 + 72.687x3 + 50.538x4.%采用通径分析方法,对红鳍东方鲀表型形态性状对体重的影响效果进行研究.结果表明,所测各表型性状与体重之间的相关系数均达到显著水平(P＜0.05)或极显著水平(P＜0.01)；体周长1对体重的直接影响(0.533)最大,对体重的决定程度(28.41％)最高,是影响体重的主要因素；全长对体重的直接作用(0.369)较大,间接作用(0.259)最小；体高、尾柄高对体重的直接作用(0.228,0.145)相对较小,主要通过体周长1的间接作用(0.363,0.296)影响体重.所选表型性状对体重的复相关指数R2=0.950,表明所选性状是影响体重的主要性状.利用逐步回归分析方法建立以体周长1、体高、尾柄高为自变量估计体重的多元回归回归方程为:y =-2154.095+42.072x1+33.936x2+72.687x3+50.538x4.
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