https://www.ahs.ac.cn/images/0513-353X/images/top-banner1.jpg|#|苹果
https://www.ahs.ac.cn/images/0513-353X/images/top-banner2.jpg|#|甘蓝
https://www.ahs.ac.cn/images/0513-353X/images/top-banner3.jpg|#|菊花
https://www.ahs.ac.cn/images/0513-353X/images/top-banner4.jpg|#|灵芝
https://www.ahs.ac.cn/images/0513-353X/images/top-banner5.jpg|#|桃
https://www.ahs.ac.cn/images/0513-353X/images/top-banner6.jpg|#|黄瓜
https://www.ahs.ac.cn/images/0513-353X/images/top-banner7.jpg|#|蝴蝶兰
https://www.ahs.ac.cn/images/0513-353X/images/top-banner8.jpg|#|樱桃
https://www.ahs.ac.cn/images/0513-353X/images/top-banner9.jpg|#|观赏荷花
https://www.ahs.ac.cn/images/0513-353X/images/top-banner10.jpg|#|菊花
https://www.ahs.ac.cn/images/0513-353X/images/top-banner11.jpg|#|月季
https://www.ahs.ac.cn/images/0513-353X/images/top-banner12.jpg|#|菊花

ACTA HORTICULTURAE SINICA ›› 2009, Vol. 36 ›› Issue (5): 701-710.

• 观赏植物 • Previous Articles     Next Articles

Studies on Numerical Classification of Chaenomeles Cultivars

WANG Ming-ming1,WANG Jian-hua1*,SONG Zhen-qiao1,LI Sheng-bo2,QU Yan1,and LIU Jing1   

  1. (1College of Agronomy, Shandong Agricultural University, Taipan, Shandong 271018, China; 2Shandong Yate Eco2tech Co. LTD. , Linyi, Shandong 266071, China)
  • Received:2008-09-25 Revised:2009-03-31 Online:2009-05-25 Published:2009-05-25
  • Contact: WANG Jian-hua

Abstract: Based on the survey of Chaenomeles cultivars resources, the numerical taxonomic method was used for the cluster analysis of 29 cultivars and 2 wild species with 41 morphological characters. The result revealed that 31 OTUs (Operational Taxonomic Units) could be divided into 4 phenetic groups according to their botanical sources, namely C.cathayensis system (), C.thibetica (), C.speciosa system () and C.japonica system (). C.japonica system and C.cathayensis system are the most distantly related systems; C.thibetica appeared to be rather closely related to C.cathayensis; C.speciosa system together with the hybrid taxon C.superba and C.vilmoriniana takes an intermediate position between C.japonica system and C.cathayensis system. Principal component analysis showed that the 41 characters can be consolidated for the 6 principal components and their accumulative contribution ratio amounted to 72.396%. Integrated cluster analysis and principal component analysis with practical applicationsthe author suggested that the classification of Chaenomeles cultivars should be firstly based on the systematics of wild species (cultivar sources). Then, the flower size could be as the second criterion for the classification of Chaenomeles cultivars, and the flower color as the third criterion.

Key words: Chaenom eles, cultivar, numerical classification, principal component analysis

CLC Number: