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| 凡纳对虾形态性状对体重的影响效果分析 | |
| 引用本文： | 刘小林,吴长功,张志怀,黄皓,李斌,张愚夫,孙成波,相建海.凡纳对虾形态性状对体重的影响效果分析[J].生态学报,2004,24(4):857-867. |
| 作者姓名： | 刘小林 吴长功 张志怀 黄皓 李斌 张愚夫 孙成波 相建海 |
| 作者单位： | 1. 中国科学院海洋研究所实验海洋生物学开放实验室,山东青岛,266071;西北农林科技大学畜牧兽医学院,陕西杨陵,712100 2. 中国科学院海洋研究所实验海洋生物学开放实验室,山东青岛,266071 3. 海南省莺歌海洋生物技术有限公司,海南三亚,572000 |
| 基金项目： | 国家博士后基金资助项目，中国科学院海洋研究所实验海洋生物学重点实验室开放基金资助项目，国家重大基础研究资助项目~~ |
| 摘 要： | 选择 6月龄凡纳对虾 176只 ,测定了体长、头胸甲长、胸宽、胸高、额剑上刺数、额剑下刺数、尾长和上市体重共 8个性状 ,采用相关分析和通径分析方法 ,剔除了与体长及头胸甲长有共线性的自变量尾长 ,计算了以形态性状为自变量对体重作依变量的相关系数、通径系数、决定系数及相关指数 ,定量地分析了形态性状对体重的影响效果。结果表明 ,凡纳对虾 5个形态性状与体重的相关系数达到极显著水平 (P<0 .0 1) ;通径分析揭示了多元分析中多个自变量与依变量的真实关系 ,体长、头胸甲长、胸宽、额剑下缘刺数目对体重的通经系数达到显著水平 ,它们是直接影响体重的重要指标 ,其中体长对体重的直接影响(0 .4 2 8* * )最大 ,是影响体重的最主要因素 ,其次为头胸甲长 (0 .2 90 * * )和胸宽 (0 .2 4 5 * * ) ,额剑下缘刺数对体重的直接影响(0 .0 70 * )较小 ;胸高与体重的相关程度很大 (0 .792 3) ,但它与额剑上缘刺数对体重的直接影响都非常小 ,主要通过其他性状间接影响活体重 ,是影响体重的次要因素 ,均被剔除 ;决定系数分析结果与通径分析结果有一致的变化趋势 ;所选形态性状与体重的复相关指数为 R2 =0 .92 13,说明影响体重的主要自变量指标已经找到 ;多元回归分析建立了体长 (X1 )、头胸甲长 (X2 )、胸宽(X3)、 |
| 关 键 词： | 凡纳对虾 形态性状 生产性能 相关分析 |
| 文章编号： | 1000-0933(2004)04-0857-06 |
| 收稿时间： | 2003/1/20 0:00:00 |
Mathematical analysis of effects of morphometric attributes on body weight for Penaeus vannamei |
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| LIU Xiaolin,WU Changgong,ZHANG Zhihuai,HUANG Hao,LI Bin,ZHANG Yufu,SUN Chengbo and XIANG Jianhai.Mathematical analysis of effects of morphometric attributes on body weight for Penaeus vannamei[J].Acta Ecologica Sinica,2004,24(4):857-867. | |
| Authors: | LIU Xiaolin WU Changgong ZHANG Zhihuai HUANG Hao LI Bin ZHANG Yufu SUN Chengbo and XIANG Jianhai |
| Affiliation: | Experimental Marine Biology Laboratory; Institute of Oceanology; Chinese Academy of Sciences; Qingdao; China |
| Abstract: | The effects of morphometric attributes on body weight for Penaeus vannamei were analyzed. Data for this study were collected from six-month-old 176 Penaeus vannamei in Banqiao Village of Dongfang City , Hainan Province. The body length ( X _1), carapace length ( X _2), carapace width ( X _3), carapace height ( X _4), number of upper frontal eminence spine ( X _5), number of lower frontal eminence spine ( X _6), tail length ( X _7) and body weight (Y) were measured. The correlation coefficients among the attributes were calculated. Tail length was eliminated from the variable data set because it was co-linear with body length ( X _1) and carapace length ( X _2). The first 6 morphometric attributes( X _1~ X _6) were used as independent variables, and body weight( Y ) was used as a dependent variable for path analysis. Path coefficients ( Pi ), determination coefficients ( di) and correlation index ( R ~2) were calculated in path analysis. The results showed that all five correlation coefficients between each morphometric attribute and the weight (0.9446, 0.9262, 0.9102, 0.7923, 0.933) achieved very significant difference ( P <0.01) levels. The path coefficient analysis revealed a truthful relationship between the independent variables and the dependent variable. The path coefficients( Pi ) of the body length ( X _1), carapace length ( X _2), carapace width ( X _3) and number of lower frontal eminence spine ( X _6) to the body weight have all reached a level of significance. These attributes are very indicative of determining the body weight, among them body length ( X _1) weighted the most ( P _1=0.428) to the body weight, it is a key effective factor, carapace length ( X _2) and carapace width ( X _3) weighted the second and third ( P _2=0.2902, P _3=0.2453, significant indirect effect 0.6145, 0.6408 respectively). The number of lower frontal eminence spine ( X _6), carapace height ( X _4), number of upper frontal eminence spine ( X _5), and tail length ( X _7) have insignificant direct effect on the body weight and were neglected. The diversification of determination coefficients ( d_i ) is consistent with that of path coefficients( P_i ). Judging from the result of high correlation index ( R ~2=0.921), the main variables ( X _1, X _2, X _3, X _6) have been selected. The multiple regression equation of the body length ( X _1), carapace length ( X _2), carapace width ( X _3) and number of lower frontal eminence spine ( X _6) to the body weight is obtained to estimate body weight. the regression intercept and partial regression coefficients of the equation are -17.994, 1.477, 4.159, 6.197, and 0.4757. This paper provide a theoretical tool to measure breeding shrimps in aquaculture. |
| Keywords: | Penaeus vannamei morphometric attribute correlation analysis |
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