摘要: |
运用三种多元分析方法,采用10个形态比例性状, 对中国五大湖地理种群与诸暨人工群体三角帆蚌的形态差异进行了比较研究。聚类分析与主成分分析结果表明, 太湖种群与巢湖种群形态最近, 而洪泽种群的趋异程度最大。主成分分析构建了3个主成分, 其贡献率: 主成分1为27.87%, 主成分2为14.26%,主成分3为11.91%, 累积贡献率为54.04%。判别分析结果表明, 5种群及人工群体形态差异显著(P<0.01)。建立了5种群及人工群体的判
别函数, 其判别准确率P1为73.33%—86.67%, P2为72.73%—100%, 综合判别率为83.33%。
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关键词: 五大湖,三角帆蚌,形态差异,多元分析 |
DOI:10.11693/hyhz200304011011 |
分类号: |
基金项目:农业部行业标准项目,02199号;上海市科委基础项目,01JC14040号;上海市教育基金会曙光计划项目资助,01SG42号 |
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MORPHOLOGICAL VARIATIONS ANALYSIS AMONG POPULATIONS OF HYRIOPSIS CUMINGII IN FIVE LARGE LAKES OF CHINA |
QIAN Rong-Hua1, LI Jia-Le1, DONG Zhi-Guo1, ZHENG Han-Feng1, LI Ying-Sen1, YUAN Wei-Kang2
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1.The Key Laboratory of Aquatic Genetic Resources and Aquacultural Ecology(AGRA) Cortificated by the Ministry of Agriculture, Shanghai Fisheries University;2.Zhuji Wangjiajing Pearl Farm in Zhejiang Province
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Abstract: |
Based on 10 morphological proportional characters of Hyriopsis cumingii, three multivariation analysis methods (cluster analysis, principal component analysis and discriminant analysis) were used to comparably investigate the morphological variations among the region populations of five large lakes in China (Poyang Lake, Dongting Lake, Tai Lake, Cao Lake,Hongze Lake) and cultured population in Zhuji. The results of cluster analysis and principal component analysis indicated that the morphological characters were similar between the populations of Taihu and Chao Lake, but quite different from that of Hongze Lake. In the principal component analysis,three principal components were constructed, the contributory ratio of the first principal component was 27.87%, the second principal component was 14.26%, and the third principal component was 11.91%, the cumulative contributory ratio was 54.04%. The result of discriminant analysis revealed that there were significant differences among the five populations and cultured population (P< 0.01). The identification accuracy was 76.67%—88.57% (P1) and 70.56%—100% (P2), among the five populations and cultured population, the identification accuracy of P1 ranked as Chao (88.57%)> Tai (85.71%)> Hongze (80.56%)> Poyang (80%)> Dongting (77.41%)> Zhuji (76.67%), the identification accuracy of P2 ranked as Dongting (100%)> Hongze (96.67%)> Zhuji (88.46%)> Poyang (80%)> Chao (73.81%)> Tai (70.56%). The discriminant functions of the five populations and cultured population were established, and the discriminant accuracy was 73.33%—86.67% (P1) and 72.73%—100% (P2), the identification accuracy of P1 ranked as Poyang (86.67%)> Hongze (83.33%)> Tai (80.00%)> Dongting (76.67%)> Chao (75.00%)> Zhuji (73.33%), the identification accuracy of P2 ranked as Chao (100%) = Hongze (100%)> Dongting (92.00%)> Zhuji (91.67%)> Poyang (78.79%)> Tai (72.73%). The total discriminant accuracy was 83.33%.
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Key words: Five large lakes, Hyriopsis cumingii, Morphological variation, Multivariation analysis |