胡彦波,温海深,张美昭,张凯强,刘阳,王晓龙,田源,李昀

• 1:海水养殖教育部重点实验室(中国海洋大学)

摘要(Abstract)：

为深入了解花鲈(Lateolabrax maculatus)形态性状对体质量的影响效果,本研究测量了105条2龄花鲈的眼间距(X_1)、体宽(X_2)、吻长(X_3)、头长(X_4)、躯干长(X_5)、尾柄长(X_6)、头高(X_7)、体高(X_8)、尾柄高(X_9)、体长(X_(10))、全长(X_(11))和体质量(Y)这12个形态学指标。通过模型拟合筛选,获得能够反映各形态性状与体质量关系的最佳模型;运用相关分析、通径分析和多元回归分析,计算了主要形态性状的相关系数、通径系数、决定系数及相关指数,确定了影响体质量的主要形态性状,建立了最优回归方程,定量分析花鲈形态性状对体质量的影响效果。模型拟合结果显示,体宽、体高、体长、全长与体质量的最优模型决定系数R~2>0.85,方程分别为:y=0.045x~(2.459)、y=-1 059.959+20.392x、y=4.8×10~(-5)x~(2.785)、y=8.42×10~(-5)x~(2.616),初步得出各形态性状与体质量的关系。通径分析结果表明,体质量变异系数最大(19.770%),各形态性状与体质量的相关性均达到了极显著水平(P<0.01)。通径分析中,剔除与全长存在多重共线性的头高、体高、体长及回归方程中不显著的眼间距、吻长、躯干长和尾柄长,保留了体宽、头长、全长和尾柄高4个形态性状,其中体宽对体质量的直接影响最大(P2=0.547)。所选4个性状与体质量的相关指数R~2=0.954,说明这些性状是影响体质量的主要形态参数。采用逐步多元回归方法建立的回归方程为:Y=-906.939+16.033 X_2+2.199 X_4+0.773 X_(11)+6.127 X_9。研究结果表明,在花鲈的选育过程中,其体宽、头长、全长和尾柄高可作为重要的测量指标,为花鲈选种提供依据,保证选育效果。

关键词(KeyWords)： 花鲈;体质量;形态性状;模型拟合;相关分析;通径分析;多元回归分析

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(31602147)资助~~

作者(Author): 胡彦波,温海深,张美昭,张凯强,刘阳,王晓龙,田源,李昀

DOI: 10.16441/j.cnki.hdxb.20170081

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