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首页> 外文期刊>Pakistan journal of botany >Morphological characteristics for classifying evergreen azalea (Ericaceae) cultivars in China using numerical taxonomy
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Morphological characteristics for classifying evergreen azalea (Ericaceae) cultivars in China using numerical taxonomy

机译:利用数值分类法对中国常绿杜鹃花品种进行形态学分类

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Azaleas are among the 10 famous traditional flowers in China having a long cultivation history since the Tang Dynasty. Today, there are probably over 300 evergreen azalea cultivars preserved in different nurseries, all of which are usually classified as belonging to East, West, Summer and Hairy groups. Numerical taxonomy was carried out to determine the phenetic relationships between cultivars. Sixty six evergreen azaleas cultivars were studied based on 30 morphological characters (13 qualitative and 17 quantitative). Cluster analysis using unweighted pair group method with arithmetic average (UPGMA) and principal coordinate analysis (PCO) was performed by using NTSYS software. Mantel's test showed a good fitness between the cluster analysis and Euclidean distance matrix. The first three axes in PCO explained 49.94% of the total variation, and revealed that 14 characters, most of which are related to flowers, played an important role in numerical taxonomy. Both cluster analysis and PCO suggested that cultivars in the East and summer groups were distinct from other groups in the 4 group classification system based on the morphological characteristics, but the West and Hairy groups were closer when concerned primarily with phenetic relationships.
机译:杜鹃花是自唐代以来历史悠久的中国十大著名传统花卉之一。如今,大约有300多个常绿杜鹃花品种保存在不同的苗圃中,通常将它们全部划分为东部,西部,夏季和多毛类。进行数字分类法以确定品种之间的物候关系。根据30个形态特征(13个定性和17个定量),研究了66个常绿杜鹃花品种。通过使用NTSYS软件使用具有算术平均值(UPGMA)和主坐标分析(PCO)的非加权对群方法进行聚类分析。 Mantel的测试表明,聚类分析和欧氏距离矩阵之间具有很好的适应性。 PCO的前三个轴解释了总变异的49.94%,并揭示了14个字符(其中大多数与花朵有关)在数字分类法中发挥了重要作用。聚类分析和PCO均表明,根据形态特征,东组和夏季组的品种与4组分类系统中的其他组不同,而西组和毛状组在主要关注物候关系时更接近。

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