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3月龄施氏鲟形态性状对体质量的影响分析

Mathematical analysis of morphometric attribute effects on body weight for three-month-old Acipenser schrenckii Brandt

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【作者】 袁美云刘双凤韩志忠曲立董宏伟

【Author】 YUAN Meiyun,LIU Shuangfeng,HAN Zhizhong,QU Li,DONG Hongwei (Institute of Fisheries Research,Harbin Academy of Agricultural Sciences,Harbin 150070,China)

【机构】 哈尔滨市农科院水产研究分院

【摘要】 随机选取3月龄施氏鲟(Acipenser schrenckii Brandt)213尾,分别测定其体质量(Y)和全长(X1)、体长(X2)、头长(X3)、吻长(X4)、体宽(X5)、头宽(X6)、眼间距(X7)、体高(X8)、头高(X9)、尾柄高(X10)、尾柄长(X11)共11个形态学指标。采用相关分析、通径分析和多元回归分析方法,分别计算了施氏鲟形态性状对体质量的相关系数、通径系数和决定系数,剔除了与体长存在显著共线性的全长、头长、吻长、尾柄长以及回归分析中不显著的体宽、眼间距、头高和尾柄高,定量分析了形态性状对体质量的影响效果。结果表明,各形态性状与体质量的相关系数均达到极显著水平(P<0.01);经通径分析,仅有3个形态性状(体长、头宽和体高)对体质量的通径系数达到极显著水平(P<0.01),是影响体质量的主要性状,其中体长对体质量的直接作用最大(0.624);决定系数分析结果表明,体长、头宽和体高的决定系数较大,其中体长对体质量的决定系数最大(0.3894),其他2个性状主要通过体长影响体质量,决定系数分析结果与通径分析结果的变化趋势一致;所选形态性状与体质量的相关指数R2=0.882,说明所选性状是影响体质量的主要性状。应用逐步多元回归分析,经偏回归系数的显著性检验,建立以体质量为因变量(Y),体长(X2)、头宽(X6)和体高(X8)为自变量的多元回归方程:lgY越-3.606垣1.742lgX2垣0.555lgX6垣0.319lgX8,经回归预测估计值与实际值间的差异不显著(P>0.05),该方程可用于施氏鲟实际生产,为施氏鲟选种提供理论依据和测量指标。

【Abstract】 The relationship between morphometric traits and body weight of Acipenser schrenckii Brandt were analyzed on the basis of measurement of body weight and 11 morphometric traits from 213 three-month-old A.schrenckii Brandt in this study.Total length(X 1 ),standard length(X 2 ),head length(X 3 ),snout length(X 4 ),body width(X 5 ), head width(X 6 ),interorbital distance(X 7 ),body depth(X 8 ),head depth(X 9 ),caudal peduncle depth(X 10 ),caudal peduncle length(X 11 )and body weigh(tY)were measured.The correlation coefficients and path coefficients between morphometric traits and body weight were calculated by correlation analysis,path analysis and multiple regression analysis.The results showed that the correlation coefficients between independent variables(morphometric trait)and dependent variable(body weight)were all at extremely significant leve(lP<0.01).Total length,head length,snout length and caudal peduncle length were eliminated from the variable data,because all of them were co-linear with standard length,while body width,interorbital distance,head depth and caudal peduncle depth were also kicked out from the variable data as they are not significant in regression equation by multiple regression analysis.The path coefficients of standard length,head width and body depth to body weight were all at extremely significant level (P<0.01).Among them standard length was the most predominant variable to affect body weigh(tP 2 =0.624),and it was a key impact factor to body weight.The results of determinant coefficients analysis revealed that the determinant coefficients of body length,head width and body depth were very large,among which standard length had a predominant determinative effec(td 2 =0.389 4).Whereas head width and body depth exhibited a slight direct effect and significant indirect effect on body weight via standard length.The result of determinant coefficients analysis was consistent with that of path analysis.The high value of multiple correlation index R2 at 0.882 between morphometric attributes and body weight suggested that the three selected attributes were practical.The morphometric attributes standard length(X 2 ),head width(X 6 )and body depth(X 8 )were used to establish the multiple regression equations as lgY=-3.606+1.742 lg X 2 +0.555 lg X 6 +0.319 lg X 8 .This paper provides theoretical evidence and perfect measure targets for breeding of A.schrenckii Brandt.[Journal of Fishery Sciences of China,2010,17(3):507-513]

【基金】 哈尔滨市优秀青年科技创新基金项目(2007RFQYN068)
  • 【文献出处】 中国水产科学 ,Journal of Fishery Sciences of China , 编辑部邮箱 ,2010年03期
  • 【分类号】S917.4
  • 【被引频次】45
  • 【下载频次】234
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