深圳外来月季品种的数量分类研究  

Mathematic Classification of the Introduced Rose Cultivars in Shenzhen

作　　者：王辉 谢利娟[2] 罗丹[3] 张华[2] 

机构地区：[1]深圳市公园管理中心,广东深圳518040 [2]深圳职业技术学院应用化学与生物技术学院,广东深圳518055 [3]东北农业大学园艺学院,黑龙江哈尔滨150030

出　　处：《西南林业大学学报（自然科学）》2013年第2期81-87,110,共8页Journal of Southwest Forestry University：Natural Sciences

基　　金：深圳市城市管理局科技基金项目(SZCG201002)资助

摘　　要：对国际月季试验站(深圳站)中72个月季品种的性状指标进行观察测定,初选28个性状以等级数量化方法编码后,用SPSS软件进行主成分分析和R型聚类分析,筛选出的主要性状指标进行Q型聚类分析。主成分分析认为:植株生长习性、分枝角度、花瓣及枝刺状态对月季分类影响较大;R型聚类分析结果表明:性状被分为不同的组,植株枝刺形态、花器官、叶片等性状群内有较强的相关关系;Q型聚类分析结果得出:72个品种可分为9大类型。The characters of 72 rose cultivars were observed and measured in the International Rose Test Station（Shenzhen Station）,and 28 preliminarily chosen characters were studied.Principal Component Analysis（PCA） and R-type cluster analysis were conducted after the 28 characters were quantitatively coded,and Q-type cluster analysis on the elected principle characters was consequently carried out by SPSS software.It was concluded on the basis of PCA analysis that the rose classification was largely dominated by characters relating to plant growth properties,branching angle,petal and thorn status,etc..It was showed by the R-type cluster analysis result that the 28 characters might be divided into several groups,and there were significant correlations among the characters of plant thorn morphology,floral organs and leaf features inside the groups.The 72 rose cultivars were classified into 9 types according to Q-type cluster analysis.

关 键 词：月季 数量分类 主成分分析 聚类分析 

分 类 号：S718.3[农业科学—林学]