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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*()
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*()

图3. 细叶云南松8个天然种群种实性状随地理气象因子的变化模式。
MAP, 年降水量; MAT, 年平均气温; MRH, 相对湿度; SL, 种子长; PC1为各种群种实性状主成分分析中第一主成分得分值(第一主成分贡献率63.98%)。种群缩写(BW、BY、CJ、DG、DT、QX、WJ、XQ)同表1

Fig. 3. Distribution model of the seed and cone traits of Pinus yunnanensis var. tenuifolia with the geo-meteorological factors.
MAP, mean annual precipitation; MAT, mean annual air temperature; MRH, mean relative humidity; SL, seed length; PC1 (63.98%), the score of the first principal component of each population based on principal component analysis of seed and cone traits. See Table1 for population abbreviation (BW, BY, CJ, DG, DT, QX, WJ, XQ).