浙江农业学报

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农家红花油茶种质产量和果实性状主成分聚类分析及综合评价

  

  1. (1 浙江省农业科学院 萧山棉麻研究所, 浙江 杭州 311202; 2 浙江常山九林红花油茶科技有限公司,浙江 衢州 324207)
  • 出版日期:2015-11-25 发布日期:2015-12-05

Cluster analysis of principal component and comprehensive assessment for germplasm production and fruit traits of peasant Camellia chekiangoleosa

  1. (1 Institute of Cotton and Flax of Xiaoshan, Zhejiang Academy of Agricultural Sciences, Hangzhou 311202, China; 2 Zhejiang Changshan Jiulin Chekiangoleosa Technology Co. Ltd, Quzhou 324207, China)
  • Online:2015-11-25 Published:2015-12-05

摘要: 为综合评价近5年农家红花油茶优株考查结果,以41株农家红花油茶为调查材料,在果实成熟时随机采摘考种调查,分析14个产量和果实性状的主成分,并作二维散点图和系统聚类分析。结果表明,第1主成分为干籽产量,贡献率61.88%;第2主成分为单果籽数与干籽率,贡献率15.22%;第3主成分为干籽率、1粒干籽重和纵横径,贡献率9.63%。根据株系性状主成分表现,选出16个优良单株,其中9株第1主成分最大,丰产性最优。在主成分二维排序分析中,能够区分优劣株系的产量和果实性状。在聚类图中,当D=0.87时可把 41个株系分成4类。二维排序分析与聚类分析均能较好地为农家红花油茶改良亲本利用提供科学依据。

关键词: 农家红花油茶, 主成分, 聚类分析

Abstract: The study was conducted to comprehensively evaluate the investigated results of superior plant of peasant Camellia chekiangoleosa in recent five years. A total of 41 strains of peasant Camellia chekiangoleosa were chosen as materials, when they were ripe, 14 principal components of yield and fruit character were analyzed, and a two\|dimensional scatter diagram and system cluster analysis were made, respectively. The results showed that the contribution rate of the first principal component was 61.88%, which was the dry seed yield. The contribution rate of the second principal component was 15.22%, which was single dry fruit seed number and dry seed rate. The contribution rate of the third principal components was 9.63%, which was the rate of dry seed, single dry seed weight and the vertical and horizontal diameter of fruit. According to the results of principal component traits, we chose 16 strains of peasant Camellia chekiangoleosa. Among them, there were 9 strains whose first principal component were the largest and their yielding ability was the best. In the two\|dimensional sort of principal components analysis, yield and fruit character of different strains could be distinguished. In the clustering figures, when the value D was 0.87, 41 strains could be divided into 4 classes. Two\|dimensional sequence analysis and clustering analysis could be used to provide the scientific basis of improved parental utilization of peasant Camellia chekiangoleosa.

Key words: peasant Camellia chekiangoleosa, principal component, clustering analysis