| 草鱼一龄前不同月龄主要形态性状对体重影响效果的分析 |
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| 引用本文： | 孙俊龙,沈玉帮,傅建军,于鸿燕,张猛,李家乐.草鱼一龄前不同月龄主要形态性状对体重影响效果的分析[J].上海海洋大学学报,2015,24(3):341-349. |
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| 作者姓名： | 孙俊龙 沈玉帮 傅建军 于鸿燕 张猛 李家乐 |
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| 作者单位： | 上海海洋大学 农业部淡水水产种质资源重点实验室, 上海 201306,上海海洋大学 农业部淡水水产种质资源重点实验室, 上海 201306,上海海洋大学 农业部淡水水产种质资源重点实验室, 上海 201306,上海海洋大学 农业部淡水水产种质资源重点实验室, 上海 201306,上海海洋大学 农业部淡水水产种质资源重点实验室, 上海 201306,上海海洋大学 农业部淡水水产种质资源重点实验室, 上海 201306;上海海洋大学 上海市高校水产养殖学 E-研究院, 上海 201306 |
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| 基金项目： | 现代农业产业技术体系建设项目(CARS-46-04);国家科技支撑计划项目(2012BAD26B02);上海市重点学科建设项目(Y1101);上海市种业项目(2012NY10) |
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| 摘 要： | 研究旨在分析草鱼一龄前不同月龄形态性状对体重的影响效果,对草鱼2月龄,4月龄,6月龄,12月龄的主要形态性状进行连续测量。采用相关分析、通径分析和多元回归计算各性状与体重的相关系数、通径系数和决定系数。相关分析结果显示草鱼各月龄形态性状均与体重呈极显著相关(P0.01),通径分析结果显示2月龄体高对体重直接作用最大,体宽对体重的间接作用最大;4月龄体长对体重直接影响最大,体宽对体重的间接作用最大;6月龄体高对体重直接作用最大,体宽对体重的间接作用最大;12月龄体长对体重直接作用最大,体宽对体重的间接作用最大;决定程度分析结果与通径分析结果一致。偏回归系数显著性检验表明体长、体高和体宽均可引入回归方程,各月龄建立以体重为因变量,体长、体高和体宽为自变量的回归方程。研究表明草鱼不同生长阶段影响体重的主要性状有所不同,2月龄和6月龄对体重影响最大的性状为体高,4月龄和12月龄对体重影响最大的性状为体长,4月龄和12月龄的调整决定系数R2大于0.85,表明4月龄和12月龄影响体重的主要性状是体长,为草鱼不同生长阶段选育提供基础资料。
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| 关 键 词： | 草鱼 选育 形态性状 相关分析 通径分析 |
| 收稿时间： | 2014/10/25 0:00:00 |
| 修稿时间： | 2015/3/25 0:00:00 |
The effects of the morphometric traits at different month ages on body weight of Ctenopharyngodon idellus |
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| SUN Junlong,SHEN Yubang,FU Jianjun,YU Hongyan,ZHANG Meng and LI Jiale.The effects of the morphometric traits at different month ages on body weight of Ctenopharyngodon idellus[J].Journal of Shanghai Ocean University,2015,24(3):341-349. |
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| Authors: | SUN Junlong SHEN Yubang FU Jianjun YU Hongyan ZHANG Meng and LI Jiale |
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| Institution: | Key Laboratory of Freshwater Fisheries Genetic Resources, Ministry of Agriculture, Shanghai Ocean University, Shanghai 201306, China,Key Laboratory of Freshwater Fisheries Genetic Resources, Ministry of Agriculture, Shanghai Ocean University, Shanghai 201306, China,Key Laboratory of Freshwater Fisheries Genetic Resources, Ministry of Agriculture, Shanghai Ocean University, Shanghai 201306, China,Key Laboratory of Freshwater Fisheries Genetic Resources, Ministry of Agriculture, Shanghai Ocean University, Shanghai 201306, China,Key Laboratory of Freshwater Fisheries Genetic Resources, Ministry of Agriculture, Shanghai Ocean University, Shanghai 201306, China and Key Laboratory of Freshwater Fisheries Genetic Resources, Ministry of Agriculture, Shanghai Ocean University, Shanghai 201306, China;E-Institute of Shanghai Universities, Shanghai Ocean University, Shanghai 201306, China |
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| Abstract: | In order to analyze the relationship between morphological traits and body weight of grass carp at different month ages, we measured morphometric traits at 2-month-old stage,4-month-old stage,6-month-old stage,and 12-month-old stage, respectively, in this study. The correlation analysis, path analysis and multiple regression were used to calculate correlation coefficient, path coefficient and the coefficient of determination between morphological traits and body weight. Correlation analysis showed that morphological traits and body weight of each month-old grass carp were significantly correlated (P<0.01). Path analysis showed that at 2-month-old stage and 6-month-old stage,the trait with strongest direct effect on body weight was the body height,but at 4-month-old stage,12-month-old stage, the trait with strongest direct effect on body weight was the body length, and at every stage the trait with strongest indirect effect on body weight was body width. The result of determinant coefficient analysis was consistent with that of path analysis. Partial regression coefficient significance test three morphological traits are highly significant, and at each stage the multiple regression equation relating the body weight can be established. Studies have shown that at 4-month-old stage and 12-month-old stage adjusted coefficient of determination is greater than 0.85, the major morphometric traits affecting body weight of grass carp at different growth stages have been identified. This study provided the basic data for grass carp at different growth stages of breeding. |
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| Keywords: | grass carp selective breeding morphometric traits correlation analysis path analysis |
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