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基于形态性状的菊属与亚菊属植物亲缘关系研究
引用本文:王江民,陈素梅,滕年军,陈发棣,房伟民,管志勇.基于形态性状的菊属与亚菊属植物亲缘关系研究[J].植物遗传资源学报,2013,14(6):1031-1037.
作者姓名:王江民  陈素梅  滕年军  陈发棣  房伟民  管志勇
作者单位:南京农业大学园艺学院,云南省农业科学院质量标准与检测技术研究所,南京农业大学园艺学院,南京农业大学,南京农业大学,南京农业大学
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:依据菊花DUS测试指南中性状观测和分级的方法,记录了菊属、亚菊属共31个物种叶片和花序的共计8个定性多态性状,并测量了各物种叶片的14个形态指标,将其转换为7个数量多态性状,分别基于定性多态性状代码和叶片数量多态性状数值利用聚类分析研究其亲缘关系,将两次聚类结果进行比较。结果发现,基于定性多态性状和叶片数量多态性状的聚类结果均可以对菊花近缘属植物进行亲缘关系分析,并与前人利用分子标记的亲缘关系研究及植物学传统分类的研究结果一致,能够较准确地反映种间亲缘关系。而利用菊花DUS测试相关定性多态性状的信息进行亲缘关系研究,具有准确度高、采样简便、工作量小的优点。

关 键 词:菊属  定性多态性状  数量性状  聚类  亲缘关系  DUS测试
收稿时间:2013/3/27 0:00:00
修稿时间:2013/5/17 0:00:00

Phylogenetic relationship analysis of several species from chrysanthemum and ajania according multivariate morphological characteristics
guan zhi yong,and.Phylogenetic relationship analysis of several species from chrysanthemum and ajania according multivariate morphological characteristics[J].Journal of Plant Genetic Resources,2013,14(6):1031-1037.
Authors:guan zhi yong  and
Abstract:Eight morphological characteristics on leaf and inflorescence of 31 chrysanthemum species were recorded, and converted to the corresponding code according the method of characteristics evaluation and classification in guidelines for the conduct of tests for distinctness, uniformity and stability of chrysanthemum. Depend on these code of characteristics and 7 quantitative characters calculated from 14 morphological traits, the phylogenetic relationship of 31 species form Chrysanthemum and Ajania were analyzed respectively through clustering analysis using SAS software, So as to assess the effectiveness of the method compared with traditional morphological classification and other results of clustering analysis depend on molecular markers, the result showed that, relevant multiple both qualitative traits from DUS test and quantitative traits from leaf covers large amount of diversity, could be compare the similarity of species from Chrysanthemum and Ajania, is able to accurately reflect the genetic relationship between species. and results form two method is consistent with the traditional classification and molecular classification result, also, clustering analysis using multivariate qualitative morphological characteristics is far more effective than the method using multivariate quantitative characteristics.
Keywords:
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