摘要
在广西北部湾随机抽取红树蚬(Polymesoda erosa)171个,测量壳长(X1)、壳宽(X2)、壳高(X3)、活体重量(X4)和软体部重量(Y)5个性状,采用相关分析、通径分析和回归分析等方法研究各表型性状对软体部重量的影响。结果表明,各测量性状间的相关系数均达到了极显著水平(P<0.01);活体重量对软体部重量的直接影响最大,其次为壳长,壳宽和壳高对软体部重量的直接影响不显著(P>0.05)。采用逐步回归分析方法建立估计软体部重量的多元回归方程为:Y=-5.286+0.133 X1+0.012 X3+0.096 X4(R2=0.758,P<0.01)。
171 mangrove mud clams Polymesoda erosa were randomly collected from the Beibu Gulf,Guangxi, China. Totally five metric traits were measured, including shell length （X1）, shell width （X2）, shell height （X3）, live weight （X4） and soft part weight （Y）. In order to study the effect of phenotypic traits （X） on soft part weight （Y）, the data were analyzed by u- sing the methods of correlation analysis, path analysis and regression analysis. The results showed that all the correlation index between every two metric traits reached significance levels （ P〈0.01）. The live weight had greatest direct effect on soft part weight and followed by the shell length. The shell width and shell height were not significantly correlated with soft part weight （ P 〉0.05）. Using the stepwise regression method, the multiple regression equation was established to estimate soft part weight as Y =- 5. 286 ＋ 0. 133 X1 ＋ 0.012 X3 ＋ 0. 096X4 （RE =0. 758,P〈0. 01）.
出处
《广西科学》
CAS
2012年第4期384-386,共3页
Guangxi Sciences
基金
广西自然科学基金项目(桂科回0639003
北部湾重大专项2011GXNSFE018001)
广西科技计划项目(桂科合1010019-23)资助
关键词
红树蚬
表型性状
软体部
重量
相关分析
通径分析
回归方程
Polymesoda erosa, phenotypic traits, soft part, weight, correlation analysis, path a- nalysis, regression equation
