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  • 张俊杰,周浩郎,邢永泽,吴斌,阎冰.红树蚬表型性状对秋季软体部重量的影响效果分析[J].广西科学,2012,19(4):384-386.    [点击复制]
  • ZHANG Jun-jie,ZHOU Hao-lang,XING Yong-ze,WU Bin,YAN Bing.Effects of Phenotypic Traits on Soft Part Weight of the Mangrove Mud Clam Polymesoda erosa[J].Guangxi Sciences,2012,19(4):384-386.   [点击复制]
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红树蚬表型性状对秋季软体部重量的影响效果分析
张俊杰1,2, 周浩郎1, 邢永泽1, 吴斌1, 阎冰1
0
(1.广西红树林保护重点实验室, 广西红树林研究中心, 广西北海 536007;2.广西大学动物科学技术学院, 广西南宁 530004)
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+0.133X1+0.012 X3+0.096X4(R2=0.758,P<0.01)。
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
DOI:
投稿时间:2012-04-24修订日期:2012-07-26
基金项目: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。
Effects of Phenotypic Traits on Soft Part Weight of the Mangrove Mud Clam Polymesoda erosa
ZHANG Jun-jie1,2, ZHOU Hao-lang1, XING Yong-ze1, WU Bin1, YAN Bing1
(1.Guangxi Key Lab of Mangrove Conservation, Guangxi Mangrove Research Center, Beihai, Guangxi, 536007, China;2.College of Animal Science and Technology, Guangxi University, Nanning, Guangxi, 530004, China)
Abstract:
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 using 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 (R2=0.758, P<0.01).
Key words:  Polymesoda erosa  phenotypic traits  soft part  weight  correlation analysis  path analysis  regression equation

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