| 紫石房蛤形态性状对体重的影响效果分析 |
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| 引用本文： | 李朝霞.紫石房蛤形态性状对体重的影响效果分析[J].中国农学通报,2009,25(5):279-282. |
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| 作者姓名： | 李朝霞 |
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| 作者单位： | 青岛农业大学,山东青岛,266109 |
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| 基金项目： | 青岛农业大学高层次人才启动基金 |
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| 摘 要： | 选取73只紫石房蛤，测定其壳长、壳宽、壳高、活体重，计算相关系数，采用通径分析方法计算了以贝壳性状为自变量对活体重作依变量的通径系数、决定系数及相关指数，对各性状的影响大小进行剖分，明确影响紫石房蛤体重的主要外部形态性状。结果表明，所测各表型性状与体重之间的相关系数均达到显著水平（P<0.05）；壳高对体重的直接影响（0.589）最大，对体重的决定程度最高，是影响体重的主要因素；壳长和壳宽对体重的直接作用（0.139, 0.297）相对较小，主要是通过壳高的间接作用（0.4023，0.3787）影响体重。所选表型性状对体重的回归系数R2=0.828，表明所选性状是影响体重的主要性状。利用逐步回归分析方法建立以壳长、壳宽、壳高为自变量估计体重的多元回归方程为:y=-265.233+0.743x1+2.459x2+3.688x3。
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| 关 键 词： | 铁 铁 盐藻生长 物质积累 调控作用 |
| 收稿时间： | 2008-12-01 |
| 修稿时间： | 2008-12-26 |
Mathematical Analysis of Effects of Morphometric Attributes on Body Weight for Saxidomus purpurata |
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| Li Zhaoxia.Mathematical Analysis of Effects of Morphometric Attributes on Body Weight for Saxidomus purpurata[J].Chinese Agricultural Science Bulletin,2009,25(5):279-282. |
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| Authors: | Li Zhaoxia |
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| Institution: | Li Zhaoxia ( Qingdao Agricultural Universiy, Qingdao Shandong 266109) |
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| Abstract: | Data for this study were collected from 73 Saxidomus purpurata in Dalian City. The shell length (x1), the shell width (x2), the shell height (x3) and the live body weight (Y) were measured. The correlation coefficient matrix was calculated. The preceding 3 shell characters were used as independent variables, and live body weight was used as a dependent variable for path analysis, path coefficients, determination coefficients and correlation index were calculated, and major morphometric attributes determined. The results showed that all the correlation coefficient between each independent variable and dependent variable (body weight) were significantly different (P<0.05). The shell height gave a predominant direct effect ( 0.589 ) and determinacy on the body weight, it is the key effective factor, whereas shell length and shell width exhibited a slight direct effect (0.4023, 0.3787) on the body weight via shell height. The value of multiple vorrelation index R2 at 0.828 between morphometric and body weight suggests that the selected attributes are practical.The multiple regression equation relating the body weight was established as y=-265.233+0.743x1+2.459x2+3.688x3. |
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| Keywords: | Saxidomus purpurata morphometric attribute body weight correlation analysis path analysis |
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