| 褐牙鲆生长性状的相关与通径分析 |
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| 引用本文： | 詹炜,楼宝,毛国民,徐冬冬,史会来,程国宝,李三磊,程丽娜,耿智.褐牙鲆生长性状的相关与通径分析[J].泉州师范学院学报,2010,28(6):29-32. |
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| 作者姓名： | 詹炜 楼宝 毛国民 徐冬冬 史会来 程国宝 李三磊 程丽娜 耿智 |
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| 作者单位： | [1]浙江省海洋水产研究所,浙江省海水增养殖重点实验室,浙江舟山316100 [2]浙江海洋学院,浙江舟山316004 |
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| 摘 要： | 选取70尾2年龄以上的褐牙鲆,测量了全长（X1）、体长、头长（X3）、吻长、体高、尾柄高（X6）和体质量（Y）7项生长性状.采用相关分析、通径分析和多元回归分析,剔除了与全长有共线性的体长及回归方程中不显著的吻长和体高,计算了全长、体长、头长等6个性状与体质量的相关系数以及以全长、头长和尾柄高对体质量通径系数和决定系数,定量分析褐牙鲆生长性状对体质量的影响.结果表明,褐牙鲆6个生长性状均与体质量的相关系数有统计学意义（P〈0.01）;头长对体质量的直接影响（0.365）最大;3个主要生长性状与体质量的决定系数和为0.948.应用逐步多元回归方法,建立了全长、头长和尾柄高对体质量的线性回归方程：Y=-4 123.461＋34.115X1＋168.733X3＋412.045X6,相关系数R=0.974.
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| 关 键 词： | 褐牙鲆 生长性状 通径分析 多元回归 |
Correlation and Path Analysis of Growth Traits of Olive Flounder (Paralichthys Olivaceus) |
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| ZHAN Wei,LOU Bao,MAO Guo-min,XU Dong-dong,SHI Hui-lai,CHENG Guo-bao,LI San-lei,CHENG Li-na,GENG Zhi.Correlation and Path Analysis of Growth Traits of Olive Flounder (Paralichthys Olivaceus)[J].Journal of Quanzhou Normal College,2010,28(6):29-32. |
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| Authors: | ZHAN Wei LOU Bao MAO Guo-min XU Dong-dong SHI Hui-lai CHENG Guo-bao LI San-lei CHENG Li-na GENG Zhi |
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| Institution: | 1.Marine Fishery Institute of Zhejiang Province,Zhejiang Province Key Lab of Mariculture and Enhancement,Zhejiang 316100,China;2.Zhejiang Ocean University,Zhejiang 316004,China) |
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| Abstract: | To investigate the effects of growth traits on body weight in olive flounder Paralichthys olivaceus,seventy individuals over two years old were sampled to measure the metric traits,including total length（X1）,body length（X2）,head length（X3）,snout length（X4）,body depth（X5）,caudal peduncle depth（X6）and body weight（Y）.Correlation analysis,path analysis and multiple regression were performed to calculate correlation coefficient（riy）,path coefficient（Pi）,determination coefficient（di） and correlation index.The results show that the correlation coefficient between each two growth traits Reaches significance level（P0.01）.The path coefficient of head length to body weight is maximum（0.365）.Three main traits（head length,caudal peduncle depth and total length） are included in the multiple regression equation,for the highest correlation index（R2=0.948）.The multiple regression equation to estimate the body weight is Y=-4 123.461＋34.115X1＋168.733X3＋412.045X6（R=0.974）. |
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| Keywords: | Paralichthys olivaceus growth trait path analysis multiple regression |
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