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作 者:郭文学[1] 闫喜武[1] 肖露阳[1] 马贵范[1] 张国范[2]
机构地区:[1]大连海洋大学辽宁省贝类良种繁育工程技术研究中心,辽宁大连116023 [2]中国科学院海洋研究所,山东青岛266071
出 处:《大连海洋大学学报》2013年第1期49-54,共6页Journal of Dalian Ocean University
基 金:辽宁省高等学校优秀人才支持计划项目(2008RC10);国家现代农业产业技术体系建设专项(CARS-48)
摘 要:随机测量115个中国蛤蜊Mactra chinensis Philipi 2龄个体的性状指标,以壳形态性状(壳长X1、壳高X2、壳宽X3)为自变量,以体质量性状(活体质量WL、软体质量WM)为因变量计算了通径系数(P)、相关指数(R2)和决定系数(di),研究了中国蛤蜊壳形态性状对体质量性状的影响效果。结果表明:5个数量性状间的相关系数均达到极显著性水平(P<0.01);壳宽对活体质量的直接作用最大(0.319),是影响活体质量的主要因素,壳高对活体质量的间接作用最大(0.513),是影响活体质量的次要因素;壳长对软体质量的直接作用最大(0.398),是影响软体质量的主要因素,壳宽对软体质量的间接作用最大(0.544),是影响软体质量的次要因素;壳形态性状对体质量性状的决定系数分析结果与通径分析结果一致。多元回归分析显示,壳长、壳高和壳宽与活体质量、软体质量呈极显著相关(P<0.01),剔除通径系数检验不显著的自变量,利用逐步回归方法,建立了活体质量和软体质量的最优回归方程为WL=-37.816+0.675X1+1.015X3和WM=-15.206+0.228X1+0.290X2。The shell morphological traits[shell length(X1),height(X2),width(X3)] as independent variables,and body weight traits [live body weight(WL) and body-tissue weight(WM)] as a dependent variables were measured in 115 individuals of two year old clam Mactra chinensis Philipi in July 2011 for calculating the path coefficients(P),correlation index(R2) and coefficients(di) to identify the key phenotypic characters that effect weight traits and to provide a theoretical basis for selection of the clam.The five traits were all shown to have the significant correlativity(P〈0.01).Shell width had the very significant effect(0.319)and was the key effective factor on live body weight(P〈0.01),and shell height had significant indirect effect through shell length on soft body tissue weight,with the strongest direct effect on body-tissue weight(0.398).Shell height had significant indirect effect through shell length on body-tissue weight.The determinant coefficients of the morphological traits on weight traits were the same as the path analysis.Shell length,height and width were found to be significantly correlated with weight traits(P〈0.01) according to the regression analysis.By using the stepwise regression method the optimal regression equation between live body weight and soft tissue weight was expressed as WL=-37.816+0.675X1+1.015X3,WM=-15.206+0.228X1+0.290X2.
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