Journal of Agricultural Science and Technology ›› 2021, Vol. 23 ›› Issue (11): 62-72.DOI: 10.13304/j.nykjdb.2021.0397

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Adaptability Evaluation of Garden Chrysanthemum Resources in Xining Based on PCA

WANG Qizhang1, WANG Haibin2, TIAN Jie1,3*   

  1. 1.Qinghai Key Laboratory of Vegetable Genetics and Physiology, Agriculture and Forestry Sciences Institute, Qinghai University, Xining 810016, China;  2.College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China;  3.State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, China
  • Received:2021-05-11 Accepted:2021-09-23 Online:2021-11-15 Published:2021-11-16

基于主成分分析评价园林小菊资源在西宁地区的适应性

王启璋1,王海滨2,田洁1,3*   

  1. 1.青海大学农林科学院, 青海省蔬菜遗传与生理重点实验室, 西宁 8100162;  2.南京农业大学园艺学院, 南京 210095;  3.青海大学,省部共建三江源生态与高原农牧业国家重点实验室, 西宁 810016
  • 通讯作者: 田洁 E-mail:tiantian8092001@163.com
  • 作者简介:王启璋 E-mail:1347798509@qq.com
  • 基金资助:

    青海省科技厅项目科技合作专项(2018-HZ-819);

    青海省科技厅重点实验室项目(2020-ZJ-Y02)

Abstract: In order to select the garden chrysanthemum resources suitable for cultivation and spread in Xining, 7 varieties of Jinling sevies were as materials. The phenotypic traits and physiological indexes were measured. And the ornamental and cultivation adaptability in Xining were evaluated by correlation analysis, principal component analysis, cluster analysis and comprehensive evaluation. The results showed that the coefficient of variation on 10 quantitative traits in 7 chrysanthemum varieties were abundant, which ranged from 28.80% to 35.43%. The correlation analysis indicated that there were significant correlations between the plant height and crown width, flower layer number and contents of chlorophyll a/b. Principal component analysis indicated 3 principal components were extracted among 16 indexes, including “photosynthetic pigment factors” influenced by contents of chlorophyll a and carotenoid, “flower organ factors” influenced by flower layers number and flower diameter, and “plant morphology factors” influenced by plant height, crown width, and leaf length. Cluster analysis divided 7 chrysanthemum resources into 3 classes. ‘Jinling Chixing’ and ‘Jinling Honghe’ were as class I, which were characterized by low photosynthetic pigment content, short plants, thick main stems and heavier leaves. ‘Jinling Lianyan’ and ‘Jinling Yuegui’ were as class Ⅱ, which were characterized by tall plants, wide crowns and more flower layers. The ‘Jinling Meiguijing’, ‘Jinling Xiaoye’ and ‘Jinling Yangguang’ were as class Ⅲ, which were characterized by more flower layers and high photosynthetic pigment content. By comprehensive evaluation (F value), 7 varieties were ranked from high to low as ‘Jinling Meiguijing’ > ‘Jinling Honghe’ > ‘Jinling Xiaoye’ > ‘Jinling Yangguang’ > ‘Jinling Chixing’ > ‘Jinling Lianyan’ > ‘Jinling Yuegui’. In conclusion, “photosynthetic pigment factors” and “flower organ factors” could be used as an important reference for adaptability evaluation. ‘Jinling Meiguijing’ and ‘Jinling Xiaoye’ showed strong adaptability in Xining, which would provide an important reference for the subsequent evaluation of chrysanthemum variety adaptability and improvement of cultivation techniques.

Key words: chrysanthemum, quality traits, quantitative traits, comprehensive evaluation, cluster analysis

摘要: 为筛选适宜在西宁地区栽培推广的园林小菊资源,选取7份金陵系列园林小菊资源,通过测定菊花的表型性状及生理生化指标,采用相关分析、主成分分析、综合评价和聚类分析对7种园林小菊资源在西宁地区的观赏性和栽培适应性进行了评价。结果表明,7份菊花资源的株高、主茎粗、叶长、叶宽、叶重、花朵数、单花重、花层数、花径和冠幅的变异系数为28.80%~35.43%。相关分析表明,株高与冠幅、花层数与叶绿素a和叶绿素b含量间存在极显著正相关关系。主成分分析提取到3个主成分,第1主成分为“光合色素因子”,主要包括叶绿素a和类胡萝卜素含量;第2主成分为“花器官因子”,主要影响因子为花层数和花径;第3主成分为“植株形态因子”,主要包括株高、冠幅和叶长。聚类分析将7份菊花资源分为三类:第一类包括‘金陵赤心’和‘金陵红荷’,表现为叶绿素含量较低、植株较矮小、主茎较粗、叶片较重;第二类包括‘金陵潋滟’和‘金陵月桂’,表现为植株高大、冠幅宽大、花层数较多;第三类包括‘金陵玫瑰金’、‘金陵笑靥’和‘金陵阳光’,表现为花层数多、叶绿素含量较高。对7份资源进行综合评价(F值),排名由高到低依次为:‘金陵玫瑰金’>‘金陵红荷’>‘金陵笑靥’>‘金陵阳光’>‘金陵赤心’>‘金陵潋滟’>‘金陵月桂’。综上所述,“光合色素因子”和“花器官因子”可作为适应性评价重要依据。‘金陵玫瑰金’和‘金陵笑靥’综合表现优异,在西宁地区具有较强的适应性,为菊花品种适应性评价及栽培技术提供了重要参考。

关键词: 菊花, 质量性状, 数量性状, 综合评价, 聚类分析