| 鳓形态指标体系分析及雌雄鉴别模型 |
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| 引用本文： | 倪海儿,陈欣.鳓形态指标体系分析及雌雄鉴别模型[J].生物数学学报,2003,18(2):224-228. |
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| 作者姓名： | 倪海儿 陈欣 |
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| 作者单位： | 1. 宁波大学,生命科学与生物工程学院,浙江,宁波,315211
2. 鞍山师范学院,学报编辑部,辽宁,鞍山,114005 |
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| 基金项目： | 浙江省教育厅资助项目(86128) |
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| 摘 要： | 对鳓的形态指标体系进行了主成分分析和R-聚类分析．鳓的形态指标大体可归纳为“大小因子”、“形态因子”和“头型因子”;关于“肥瘦”方面、“长度”方面和“头部”的指标各自的相关较为密切,而这三类指标间的相关较小．在此分析基础上,构建了48个相对指标,并用逐步判别建立了雌雄判别模型,此模型回判的错判率为8．9％．
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| 关 键 词： | 鳓 形态指标 雌雄鉴别模型 主成分 聚类 判别分析 |
| 文章编号： | 1001-9626(2003)02-0224-05 |
| 修稿时间： | 2001年6月25日 |
Analysis of Shape Index System and Discriminant of Male and Female of Ilisha Elongata |
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| NI Hai-er CHEN Xin.Analysis of Shape Index System and Discriminant of Male and Female of Ilisha Elongata[J].Journal of Biomathematics,2003,18(2):224-228. |
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| Authors: | NI Hai-er CHEN Xin |
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| Abstract: | Based on the analysis of the shape index system of Ilisha elongata (Bennett) with Principal Components and R-Cluster, it is showed that the shape of Ilisha elongata can be outlined by "size factor", "shape factor" and "head shape factor". The indexes on "fat-thin" have significant correlation with each other, so do the indexes on "length" and "head". But there is almost no significant correlation among these three groups of indexes, 48 characters are further reformed for stepwise discriminant. The discriminant models are built. Classifing 123 samples by the models, the error ratio is 8.9%. |
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| Keywords: | Ilisha elongata Shape indexes Principal Components Cluster Discriminant analysis |
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