摘要
随机选取116尾硬头鳟(Oncorhynchus mykiss)幼鱼,测量其体长、体高、体厚、头长、眼径和眼间距、体重7个性状,计算各性状间的相关系数,采用通径分析方法计算以表型形态性状为自变量对体重作因变量的通径系数、决定系数及复相关指数,对各性状的影响大小进行剖析,明确影响硬头鳟幼鱼体重的主要外部形态性状,为硬头鳟选育提供理论依据和理想的测度指标。结果表明,所测各表型性状与体重之间的相关系数均达到极显著水平(P<0.01);体高对体重的直接影响(0.363)最大,其次分别为体长(0.291)、体厚(0.264)和眼径(0.111)。所选性状对体重的复相关指数R2=0.972,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长、体高、体厚和眼径为自变量估计体重的多元回归方程为:y=-107.53+3.03 X1+20.01 X3+12.63 X2+45.56 X5。
To study the effect of morphometric attributes on body weight of the Steelhead Oncorhynchus mykiss, morphometric measurement was taken from 116 samples. The attributes used in this study include body length, body height,body depth, head length, eye diameter, eye cross and bodyweight. A correlation coefficient matrix was constructed, in which the body weight was used as the dependent variable and other attributes as independent variables for path analysis. The path coefficients, determination coefficients, and correlation index were calculated,and major morphometric attributes were determined. The results showed that all the correlation coefficient between each independent variable and dependent variable （body weight） were significantly different （ P 〈 0. 01 ）. The trait with the strongest direct effect on body weight was body height （0. 363 ） , then the body length （0. 291 ）, body depth （0. 264） and eye diameter （0. 111 ）. The high value of multiple correlation index R2 at 0. 972 between morphometric attributes and body weight suggests that the selected attributes are practical. The multiple regression equation relating the body weight was established as y = - 107.53 ＋ 3.03 X1 ＋ 20. 01 X3 ＋ 12.63 X2 ＋ 45.56 X5 , where y is body weight,X1 ,X2 , X3 , X5 , is body length, body height, body depth, eye diameter respectively.
出处
《动物学杂志》
CAS
CSCD
北大核心
2011年第1期16-22,共7页
Chinese Journal of Zoology
基金
北京市建设新型科研体制重大专项(No.Z09090501040903)
关键词
硬头鳟
形态性状
体重
通径分析
Steelhead
Morphometric attribute
Body weight
Path analysis
