采用软件GenAlEx6.502对154个半枫荷个体遗传距离矩阵进行主

采用软件GenAlEx6.502对154个半枫荷个体遗传距离矩阵进行主成分分析。利用SRAP标记的遗传距离做出的主成分（PCoA）图可大致将其划分为2个的集群，并可进一步细分为7个亚群（图6），其中第一、第二主成分分别解释总变量的28.99%和26.58%。这与STRUCTURE遗传结果分析结果基本一致，遗传结构相同或近似的样本划分到了相同的集群。

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结果 (英语) 1: [复制]

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Using software GenAlEx6.502 154 Pterospermum of individual genetic distance principal component analysis. Labeled by SRAP main component made genetic distance (PCoA) map may substantially be divided into two clusters, can be further divided into seven subgroups (FIG. 6), wherein the first and second principal component, respectively 28.99% and 26.58% of the total variable interpretation. STRUCTURE This is consistent with the results of genetic analysis, the same or similar samples of the same cluster classified into the genetic structure.

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结果 (英语) 2:[复制]

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The main component analysis of 154 and a half maple-load individual genetic distance matrix was carried out using the software GenAlEx6.502. The main component (PCoA) graph using the genetic distance of the SRAP marker can be roughly divided into two clusters and further subdivided into 7 subgroups (Figure 6), of which the first and second main components explain 28.99% and 26.58% of the total variables respectively. This is basically consistent with the results of the STRUCTURE genetic results, with samples with the same genetic structure or similarity being divided into the same cluster.

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结果 (英语) 3:[复制]

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Principal component analysis of genetic distance matrix of 154 individuals was carried out by software genalex6.502. The principal component analysis (PCoA) based on genetic distance of SRAP markers can be roughly divided into two clusters and further subdivided into seven subgroups (Fig. 6). The first and second principal components explain 28.99% and 26.58% of the total variables respectively. This is basically consistent with the result of structure genetic result analysis. Samples with the same or similar genetic structure are divided into the same cluster.<br>

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