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园艺学报 ›› 2025, Vol. 52 ›› Issue (2): 349-364.doi: 10.16420/j.issn.0513-353x.2024-0277

• 遗传育种·种质资源·分子生物学 • 上一篇    下一篇

中国芍药品种资源表型性状多样性分析

钱景扬, 卢莉莉, 李芹, 汤寓涵, 陶俊, 赵大球*()   

  1. 扬州大学园艺园林学院,江苏扬州 225009
  • 收稿日期:2024-06-15 修回日期:2025-01-06 出版日期:2025-02-25 发布日期:2025-02-23
  • 通讯作者:
  • 基金资助:
    国家林草科技创新发展研究项目(2023132012); 江苏省林业科技创新与推广项目(LYKJ[2021]01); 江苏省现代农业(花卉)产业技术体系项目(JATS[2023]446); 扬州市重点研发计划(现代农业)项目(YZ2022053)

Diversity Analysis of Phenotypic Traits for Chinese Herbaceous Peony Cultivar Resources

QIAN Jingyang, LU Lili, LI Qin, TANG Yuhan, TAO Jun, ZHAO Daqiu*()   

  1. College of Horticulture and Landscape Architecture,Yangzhou University,Yangzhou,Jiangsu 225009,China
  • Received:2024-06-15 Revised:2025-01-06 Published:2025-02-25 Online:2025-02-23

摘要:

采用遗传变异分析、相关性分析、聚类分析和主成分分析对167个中国芍药(Paeonia lactiflora)品种的48个表型性状进行多样性分析。结果表明,中国芍药品种资源的质量性状和数量性状表型多样性水平均较高,其中数量性状比质量性状更加多样化。复叶类型、花色、雄蕊瓣化瓣形状和颜色、雌蕊柱头颜色、鳞芽分生能力、花枝长度等性状是衡量芍药品种表型多样性水平的重要参考指标。R型聚类分析将数量性状分为4类,主要反映了生长势和叶部性状、花部性状、开花周期性状和物候期性状。Q型聚类分析将芍药品种资源分为3组,第Ⅰ组品种数量占比37.13%,主要表现为物候期晚;第Ⅱ组品种数量占比32.93%,主要表现为生长势强、花径大;第Ⅲ组品种数量占比29.94%,主要表现为鳞芽分生能力强、花数量多。除单朵花期外,其余数量性状在各组品种资源间均存在不同程度的差异。主成分分析可以将表型变异贡献最大的性状概括为物候期因子、叶片因子、花期因子、花朵因子和生长因子。

关键词: 芍药, 表型性状, 多样性分析, 聚类分析, 主成分分析

Abstract:

Genetic variation analysis,correlation analysis,cluster analysis and principal component analysis were used to analyze the diversity of 48 phenotypic traits in 167 Chinese herbaceous peony cultivars. The results showed that both qualitative and quantitative traits of Chinese herbaceous peony cultivar resources had high levels of phenotypic diversity,with quantitative traits being more diverse than qualitative traits. Traits such as compound leaf type,flower color,stamen petal shape and color, gynoecium stigma color,scale bud differentiation ability,and flower branch length are important reference indices for measuring the level of phenotypic diversity in herbaceous peony cultivars. R-type cluster analysis classified quantitative traits into 4 categories,mainly reflecting growth potential and leaf traits,floral traits,flowering cycle traits,and phenological period traits. Q-type cluster analysis classified the herbaceous peony cultivar resources into 3 groups,and the number of cultivars in group Ⅰ accounted for 37.13%,which mainly showed late phenological period. The number of cultivars in group Ⅱ accounted for 32.93%,which mainly showed strong growth potential and large flower diameter. The number of cultivars in group Ⅲ accounted for 29.94%,which was mainly characterized by strong scale bud differentiation ability and large number of flowers. All the quantitative traits,except for the single flowering period,differed to varying degrees among the groups of cultivar resources. Principal component analysis allowed the generalization of the traits with the highest contribution to phenotypic variation into phenological period factor,leaf factor,flowering period factor,flower factor,and growth factor.

Key words: herbaceous peony, phenotypic traits, diversity analysis, cluster analysis, principal component analysis