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1·Phenograms were constructed by using genetic distance UPGMA method.

用距离系数upgma法聚类分析产生了树状图。

2·The two analyses show the UPGMA tree is accord with the relationship of the cultivars.

两次分析说明聚类的树状图和品种间亲缘关系的一致性。

3·Based on the ISSR band data, similarity indices and UPGMA dendrogram were analysed and developed.

基于ISSR条带统计数据，运用相关软件进行了相似系数的分析和系统进化树的构建。

4·UPGMA is taken to calculate the genetic distance within and between populations. Systematic tree is constructed.

应用UPGMA法计算了种群内和种群间的遗传距离，并构建了系统树。

5·The systematic diagram of genetic relationships was established by POPGENE32 software and clustered by UPGMA method.

利用POPGENE32软件分析遗传相似系数，UPGMA方法聚类，构建亲缘关系系统图。

6·UPGMA cluster analysis showed that natural populations and cultivated populations were distinctly separated into two groups.

UPGMA聚类分析表明自然居群与栽培居群存在明显的分化而分别聚为两大类群。

7·Compared with other systematic clustering method, UPGMA would be better for the numerical taxonomy of the capsicum varieties.

比较不同的系统聚类方法，类平均法能较好适合辣椒品种的数量分类。

8·The results of PCA and UPGMA clustering analysis exhibited a good consistency, and were also consistent with geographic origins.

主坐标和UPGMA聚类分析结果基本相同，并与地理来源有很高的一致性。

9·The results of cluster analysis by using UPGMA method showed that all the tested accessions could be differentiated by RAPD marks.

聚类分析结果表明利用RAPD技术可将全部供试材料区分开。

10·These 6 tea lines were divided into 2 groups by UPGMA, moreover, the 4th line was proved to be pollen plant on DNA molecular level.

进行聚类分析，将6个株系划分为两个类群，并在DNA分子水平上进一步证实株系4为花粉植株。