| 海南引种睡莲表型多样性分析及评价 |
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| 引用本文： | 潘庆龙,付瑛格,谷佳,盛玉辉,李清雪,饶英,朱天龙,周扬,史佑海,赵莹,王健.海南引种睡莲表型多样性分析及评价[J].热带作物学报,2021,42(10):2777-2788. |
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| 作者姓名： | 潘庆龙 付瑛格 谷佳 盛玉辉 李清雪 饶英 朱天龙 周扬 史佑海 赵莹 王健 |
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| 作者单位： | 1.热带特色林木花卉遗传与种质创新教育部重点实验室/海南省热带特色花木资源生物学重点实验室/海南大学林学院,海南海口 5702282.青岛恒星科技学院,山东青岛 2661003.贵州大学,贵州贵阳 5500254.海南佛渡莲源生态农业有限公司,海南海口 570228 |
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| 基金项目： | 海南省重点研发项目(ZDYF2020152);海南省重点研发项目(ZDYF2019041);上海市资源植物功能基因组学重点实验室开放课题(PFGR202101) |
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| 摘 要： | 以海南引种的86份睡莲资源作为研究对象,对45个表型性状进行多样性、相关性、聚类、主成分等分析。结果表明：86份睡莲表型性状存在着丰富的变异。13个数量性状的多样性指数范围为0.612~2.041,最高的是花瓣宽度（2.041）,最低的是萼片枚数（0.612）;32个质量性状的多样性指数范围为0.259~1.648,最高的是花色（1.648）,而柱头盘颜色（0.259）和中轴突颜色（0.259）两个性状的多样性指数最低。13个数量性状的变异系数范围为19.98%~122.06%,其中具有强变异的性状有两个,分别为雄蕊个数（122.06%）、花瓣总数（109.87%）。相关性分析表明,叶长与叶宽等6对性状呈极显著性正相关（P<0.01）。聚类分析将86份睡莲分为4个类群,依次为：广热带睡莲品种群、澳大利亚睡莲品种群、古热带睡莲品种群、广温带睡莲品种群。主成分分析共提取出特征值大于1.5的8个主成分,累积贡献率为60.838%。86份供试睡莲综合评分排名最高的为‘澳洲白巨’睡莲,最低的为‘小白子午莲’睡莲。
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| 关 键 词： | 睡莲资源 表型性状 聚类分析 主成分分析 |
| 收稿时间： | 2021-03-08 |
Analysis of Phenotypic Diversity of Nymphaea L. in Hainan,China |
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| PAN Qinglong,FU Yingge,GU Jia,SHENG Yuhui,LI Qingxue,RAO Ying,ZHU Tianlong,ZHOU Yang,SHI Youhai,ZHAO Ying,WANG Jian.Analysis of Phenotypic Diversity of Nymphaea L. in Hainan,China[J].Chinese Journal of Tropical Crops,2021,42(10):2777-2788. |
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| Authors: | PAN Qinglong FU Yingge GU Jia SHENG Yuhui LI Qingxue RAO Ying ZHU Tianlong ZHOU Yang SHI Youhai ZHAO Ying WANG Jian |
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| Institution: | 1. Key Laboratory of Genetics and Germplasm Innovation of Tropical Forest Trees and Ornamental Plants, Ministry of Education / Key Laboratory of Germplasm Resources Biology of Tropical Special Ornamental Plants of Hainan / College of Forestry, Hainan University, Haikou, Hainan 570228, China2. Hengxing University, Qingdao, Shandong 266100, China3. Guizhou University, Guiyang, Guizhou 550025, China4. Hainan Fodu Lianyuan Ecological Agriculture Co., Ltd., Haikou, Hainan 570228, China |
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| Abstract: | 45 phenotypic traits of 86 water lily (Nymphaea L.) resources in Hainan were surveyed, and the diversity, correlation, clustering and principal component analysis were conducted. The phenotypic traits of the 86 water lilies varied greatly, and the diversity indexes of 13 quantitative traits ranged from 0.612 to 2.041, with the highest value of petal width (2.041) and the lowest one of sepal number (0.612). The diversity indexes of 32 quality traits ranged from 0.259 to 1.648, in which the highest value was the flower color (1.648), and the lowest value was the stigma color (0.259) and the middle axon color (0.259). The variation coefficient of the 13 quantitative traits ranged from 19.98% to 122.06%, among which the number of stamens (122.06%) and the total number of petals (109.87%) were the two most varied traits. Correlation analysis showed that significant positive correlations (P<0.01) existed between the length of leaf and width of leaf, and other 5 couples of characteristics. Clustering analysis of the 86 water lilies were divided into four groups: Brachyceras, Anecphya, Lotus and Nymphaea. Eight principal components were extracted by principal component analysis with characteristic values greater than 1.5, and the cumulative contribution rate was 60.838%. Among the 86 water lilies N. gigantea ‘Albert de Lestang’ ranked the highest value in comprehensive score, and N. ‘Pygmaea Alba’ got the lowest one. |
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| Keywords: | waterlily resource phenotypic trait clustering analysis principal component analysis |
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