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翡翠贻贝形态性状对软体部质量的影响
引用本文:王庆恒,邓岳文,杜晓东,师尚丽.翡翠贻贝形态性状对软体部质量的影响[J].广东海洋大学学报,2009,29(4):1-4.
作者姓名:王庆恒  邓岳文  杜晓东  师尚丽
作者单位:广东海洋大学水产学院,广东,湛江,524025
基金项目:广东省科技攻关项目,广东省教育厅科技项目 
摘    要:随机选择200个湛江南三岛翡翠贻贝野生个体,测量壳长(SL)、壳宽(SW)、壳高(SH)、韧带长(LL)和软体重(EW)等5个性状,计算性状间的相关系数,采用通径分析方法计算以壳性状和韧带长为自变量对软体重作依变量的通径系数、决定系数。结果表明:壳长、壳宽、壳高、韧带长与软体部质量相关极显著(P<0.01)。壳长对软体部质量的直接影响最大,壳高对软体部质量的直接影响次之;与壳长和壳高相比,壳宽、韧带长对软体部质量的直接影响较小。采用逐步回归分析方法建立了以壳长和壳高为自变量估计软体部质量的多元回归方程:YEW=-39.287+0.466XSL+0.994XSH,为翡翠贻贝选种提供了理论依据和测度指标。

关 键 词:翡翠贻贝  形态性状  软体部质量  通径分析  回归方程

Effect of Morphometric Traits on Edible Part Weight of Perna viridis
WANG Qing-heng,DENG Yue-wen,DU Xiao-dong,SHI Shang-li.Effect of Morphometric Traits on Edible Part Weight of Perna viridis[J].Journal of Zhanjiang Ocean University,2009,29(4):1-4.
Authors:WANG Qing-heng  DENG Yue-wen  DU Xiao-dong  SHI Shang-li
Abstract:Shell length,shell width,shell height,ligament length,and edible part weight of each of 200 Perna viridis individuals were measured.The samples were random collected from Nansan,Zhanjiang.A correlation coefficient matrix was constructed on basis of the measurement data,in which the edible part weight was set as the dependent variable and other characters as independent variable.Path coefficient and correlation index were calculated,and the major phenotypic characters were determined.It was found that all the correlation coefficients between independent variables and dependent variable were significant(P < 0.01).A predominant direct effect of the shell length on the edible part weight was observed,followed by the shell height.The shell width and ligament length had the smaller direct effect than shell length and shell height on the edible part weight.The multiple regression equation between the edible part weight and the other characters was established as YEW=-39.287+0.466XSL+0.994XSH,where YEW is edible part weight,XSL and XSH are the shell length and shell height,respectively.The paper provides theoretical information for breeding of the animal.
Keywords:Perna viridis  morphometric traits  edible part weight  path analysis  regression equation
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