| 引用本文: | 郁书君, 岑若邦, 刘佳美, 景衍之, 李美芬, 冯倚琪, 黄久香.三角梅品种的表型遗传多样性综合分析与评价[J].广西植物,2025,45(4):741-760.[点击复制] |
| YU Shujun, CEN Ruobang, LIU Jiamei, JING Yanzhi, LI Meifen,
FENG Yiqi, HUANG Jiuxiang.Comprehensive analysis and evaluation of phenotypic genetic diversity of Bougainvillea varieties[J].Guihaia,2025,45(4):741-760.[点击复制] |
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| 三角梅品种的表型遗传多样性综合分析与评价 |
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郁书君, 岑若邦, 刘佳美, 景衍之, 李美芬, 冯倚琪, 黄久香*
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华南农业大学, 广州 510642
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| 摘要: |
| 为了三角梅种质资源的创新利用和新品种选育提供科学参考依据,该研究以100份三角梅品种资源作为研究对象,通过观测7个数量性状和13个质量性状,采用变异系数、数量分级、遗传多样性指数、相关性分析、主成分分析和Q型聚类分析的数据分析方法,对供试三角梅品种的表型遗传多样性进行了综合分析与评价。结果表明:(1)7个数量性状的品种内变异幅度为7.52%～29.27%,其中2个小于10%,3个在10%至20%之间,2个大于20%; 品种间变异幅度为20.15%～41.08%,全部超过20%。这说明三角梅数量性状在品种内的变异程度属于中等水平,而在品种间的变异程度属于较高水平,利用品种间的数量性状差异鉴别品种的可能性较大。(2)概率分级法比传统的等距离分级法更具科学性和合理性,因此更适用于该研究的数量性状分级。(3)7个数量性状的遗传多样性指数全部大于1.00; 13个质量性状的遗传多样性指数为0.08～2.74,其中8个质量性状的多样性指数大于1.00,这说明三角梅表型的遗传多样性水平总体较高。(4)主成分分析可将20个表型性状简化为8个主成分因子,累计贡献率达78.689%。第1主成分由叶片宽度、叶片长度、叶柄长度决定,说明叶片的数量性状是区分三角梅品种的最主要性状指标。(5)Q型聚类分析主要依据叶片和苞片的大小将100份三角梅品种资源分为4类。综上认为,三角梅表型遗传多样性水平较高,叶片与苞片是三角梅品种的主要性状指标,同时运用科学合理的概率分级法,对鉴别品种、种质创新与育种有重要意义。 |
| 关键词: 三角梅, 种质资源, 表型多样性, 数量性状, 质量性状 |
| DOI：10.11931/guihaia.gxzw202404022 |
| 分类号:Q949 |
| 文章编号:1000-3142(2025)04-0741-20 |
| 基金项目:中央引导地方科技发展资金项目(h20210203)。 |
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| Comprehensive analysis and evaluation of phenotypic genetic diversity of Bougainvillea varieties |
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YU Shujun, CEN Ruobang, LIU Jiamei, JING Yanzhi, LI Meifen,
FENG Yiqi, HUANG Jiuxiang*
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South China Agricultural University, Guangzhou 510642, China
South China Agricultural University, Guangzhou 510642, China
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| Abstract: |
| To provide a scientific reference for the innovative utilization and breeding of new varieties of Bougainvillea germplasm resources. This study took 100 Bougainvillea varieties as the research object, observed 7 quantitative traits and 13 qualitative traits, and used data analysis methods such as coefficient of variation, quantitative classification, genetic diversity index, correlation analysis, principal component analysis and Q-type cluster analysis to comprehensively analyze and evaluate the phenotypic genetic diversity of the tested Bougainvillea varieties. The results were as follows:(1)The variation of within the varieties of the seven quantitative traits was 7.52%-29.27%, of which two were less than 10%, three were between 10%-20%, and two were greater than 20%; the variation of between varieties was 20.15%-41.08%, all of which were greater than 20%. This showed that the variation of the quantitative traits of Bougainvillea within the varieties was at a medium level, while the variation between varieties was at a high level. It was more likely to use the difference in quantitative traits between varieties to identify varieties.(2)The probability classification method was more scientific and reasonable than the traditional equidistance classification method, making it more suitable for the quantitative trait classification in this study.(3)The genetic diversity indexes of the seven quantitative traits were all greater than 1.00; the genetic diversity indexes of the 13 qualitative traits ranged from 0.08 to 2.74, of which the diversity indexes of eight qualitative traits were greater than 1.00. This indicated that the overall genetic diversity level of Bougainvillea phenotypes was high.(4)Principal component analysis could simplify the 20 phenotypic traits into eight principal component factors, with a cumulative contribution rate of 78.689%. The first principal component was determined by leaf width, leaf length, and petiole length, indicating that the quantitative traits of leaves were the main trait indicators for distinguishing Bougainvillea varieties.(5)Q-type cluster analysis mainly divided 100 Bougainvillea variety resources into four categories based on the size of leaves and bracts. In conclusion, Bougainvillea phenotypic genetic diversity level was higher, leaves and bracts were the main indicators of Bougainvillea varieties, using scientific and reasonable probability grading method at the same time, to identify varieties and germplasm innovation and breeding has important significance. |
| Key words: Bougainvillea, germplasm resources, phenotypic diversity, quantitative traits, qualitative traits |
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