尹世华, 李传林, 黄晓霞, 等. 月季花部性状表型多样性研究[J]. 西南林业大学学报(自然科学), 2022, 42(4): 38–47 . DOI: 10.11929/j.swfu.202105060
引用本文: 尹世华, 李传林, 黄晓霞, 等. 月季花部性状表型多样性研究[J]. 西南林业大学学报(自然科学), 2022, 42(4): 38–47 . DOI: 10.11929/j.swfu.202105060
Yin Shihua, Li Chuanlin, Huang Xiaoxia, Li Shubin, Cheng Xiaomao. Study on Phenotypic Diversity of Related Characters in Flower of Rosa hybrida[J]. Journal of Southwest Forestry University, 2022, 42(4): 38-47. DOI: 10.11929/j.swfu.202105060
Citation: Yin Shihua, Li Chuanlin, Huang Xiaoxia, Li Shubin, Cheng Xiaomao. Study on Phenotypic Diversity of Related Characters in Flower of Rosa hybrida[J]. Journal of Southwest Forestry University, 2022, 42(4): 38-47. DOI: 10.11929/j.swfu.202105060

月季花部性状表型多样性研究

Study on Phenotypic Diversity of Related Characters in Flower of Rosa hybrida

  • 摘要: 为研究月季花部性状的遗传多样性,从73份月季资源中选定了9个花部性状进行相关分析、聚类分析、主成分分析和综合评价。结果表明:月季各品种间存在显著不同,遗传多样性变异丰富。其中,6个定量性状的变异系数均值为64.00%,花头数的变异系数最大;定量描述性状的多样性大于定性描述性状的多样性,花瓣数的多样性指数最大。73份月季品种中存在极显著相关的性状有15对;在欧氏距离为10处可将73份月季品种划分为3组;前3个主成分能够表现出9个花部性状的多数信息,累计贡献率为71.19%,贡献率最大的为第一主成分,达44.50%。73份月季资源中‘绯扇月季’的综合得分最高,‘无刺野玫瑰’的综合得分最低,结合逐步回归分析筛选出花朵直径、花瓣长、花瓣宽、花瓣面积和花头数可作为月季花部性状的综合评价指标。

     

    Abstract: In order to study the genetic diversity of floral traits of Rosa hybrida, 9 flower characters were selected from 73 R. hybrida resources for correlation analysis, cluster analysis, principal component analysis and comprehensive evaluation. The results showed that the phenotypic traits of R. hybrida germplasm resources have a high degree of variation, diverse types, and rich genetic diversity. Among of them, the average coefficient of variation of the 6 quantitative traits is 64.00%, and the coefficient of variation of the number of flower heads is the largest; the diversity of quantitative description traits is greater than the diversity of qualitative description traits, and the diversity of petal numbers is the largest. Correlation analysis showed that there were 15 pairs of extremely significant related traits in 73 R. hybrida varieties. Cluster analysis showed that 73 rose varieties can be divided into 3 groups at the Euclidean distance of 10. Accroding to principal component analysis, the first three principal components can show most of the information of 9 flower traits, with a cumulative contribution rate of 71.19%. And the contribution rate of the first principal component was the largest, which is 44.50%. Among the 73 R. hybrida resources, R. hybrida 'Hiogi' has the highest overall score, and R. hybrida 'multiflora inermis' has the lowest overall score. Combined with stepwise regression analysis, the flower diameter, petal length, petal width, petal area and number of flower heads can be selected as the comprehensive evaluation indexes for the flower traits of R. hybrida.

     

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