王莉飞, 徐佳洁, 黄晓霞, 等. 57份现代月季种质资源表型性状及综合评价[J]. 西南林业大学学报(自然科学), 2022, 42(1): 83–90 . DOI: 10.11929/j.swfu.202009056
引用本文: 王莉飞, 徐佳洁, 黄晓霞, 等. 57份现代月季种质资源表型性状及综合评价[J]. 西南林业大学学报(自然科学), 2022, 42(1): 83–90 . DOI: 10.11929/j.swfu.202009056
Wang Lifei, Xu Jiajie, Huang Xiaoxia, Li Shubin, Cheng Xiaomao. Phenotypic Traits and Comprehensive Evaluation of 57 Modern Chinese Rose Germplasm Resources[J]. Journal of Southwest Forestry University, 2022, 42(1): 83-90. DOI: 10.11929/j.swfu.202009056
Citation: Wang Lifei, Xu Jiajie, Huang Xiaoxia, Li Shubin, Cheng Xiaomao. Phenotypic Traits and Comprehensive Evaluation of 57 Modern Chinese Rose Germplasm Resources[J]. Journal of Southwest Forestry University, 2022, 42(1): 83-90. DOI: 10.11929/j.swfu.202009056

57份现代月季种质资源表型性状及综合评价

Phenotypic Traits and Comprehensive Evaluation of 57 Modern Chinese Rose Germplasm Resources

  • 摘要: 以57份现代月季种质资源为研究对象,对其13个表型性状进行遗传多样性分析、相关性分析、聚类分析及主成分分。结果表明:57份现代月季种质资源表型性状变异丰富,13个表型性状的变异幅度为14.01%~79.91%,多样性指数变化范围为0.254~1.844;皮刺与顶端小叶形状、刺状态、刺颜色以及刺状态与刺颜色之间呈现极显著正相关;前5个主成分因子(皮刺因子、花头数因子、叶边缘锯齿因子、花香因子、花色因子)的特征值均大于1,累计贡献率达64.37%,可作为月季种质评价的重要指标;在欧氏距离为10处,可以将57份月季种质资源聚为3大类群,花色和刺性状是表型聚类的主要依据。

     

    Abstract: Fifty-seven modern Chinese rose germplasm resources were as materials to analyze genetic diversity, correlation, cluster and principal component analysis based on 13 phenotypic traits studied. The results showed that 57 modern Chinese rose germplasm had rich variation in phenotypic traits, the variation range of 13 phenotypic traits was 14.01%–79.91%, and the variation range of diversity index was 0.254–1.844. The correlation analysis showed that there was a significant positive correlation between prickle and apical lobule shape, prickle state, prickle color, prickle state and prickle color. Principal component analysis showed that the eigenvalues of the first 5 principal components(thorn factor, flower head factor, leaf edge sawtooth factor, flower fragrance factor, and flower color factor) were all greater than 1, and the cumulative contribution rate reached 64.37%, which could be used as an important index for the evaluation of Chinese rose germplasm. Cluster analysis showed that 57 modern Chinese rose germplasm resources could be clustered into 3 groups at euclide distance of 10, and the flower color and thorn traits were the main basis of phenotypic clustering.

     

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