细叶云南松种实性状变异与地理气象因子的关联
白天道, 余春兰, 甘泽朝, 赖海荣, 杨隐超, 黄厚宸, 蒋维昕*(
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Association of cone and seed traits of Pinus yunnanensis var. tenuifolia with geo-meteorological factors
BAI Tian-Dao, YU Chun-Lan, GAN Ze-Chao, LAI Hai-Rong, YANG Yin-Chao, HUANG Hou-Chen, JIANG Wei-Xin*()
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图4. 细叶云南松天然种群种实性状的主成分聚类。
A, 基于平均轮廓系数确定最佳聚类数。B, 种群聚类图(K-Medoids法)。种群缩写(BW、BY、CJ、DG、DT、QX、WJ、XQ)同
Fig. 4. Principal component and cluster analysis based on the phenotypic traits of eight natural populations in Pinus yunnanensis var. tenuifolia.
A, The optimal number of clusters determined by average silhouette width. B, Population clustering by K-Medoids algorithm. See
