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机构地区:[1]河北师范大学资源与环境科学学院,石家庄050016 [2]军械工程学院,石家庄050003
出 处:《植物学通报》2007年第4期511-515,共5页Chinese Bulletin of Botany
基 金:国家自然科学基金(No.40571166);国家教委博士点基金(No.20050094004)
摘 要:利用数字照相技术和MATLAB软件测量了5种杨树、3种柏树各50粒花粉的面积、扁圆率、极轴长度、赤道轴长度,计算了面积标准差和极轴长度/赤道轴长度。对8种花粉的面积作了方差分析。结果显示,在99%置信水平上用面积能区分8种花粉。用5种杨树花粉的扁圆率平均值、极轴平均值、赤道轴平均值和P/E值作聚类分析,聚类结果显示,5种杨树可分成3组,加拿大杨和小叶杨是一组,毛白杨和山杨是一组,青杨单独为一组。电镜观察纹饰特点与以上聚类结果一致。本研究为定量研究花粉形态提供了一种快速有效的方法及更多的有效数据,比目测精确度提高了10倍。Pollen grains of three species of Cupressaceae and five species of Populus were examined in detail by use of a digital photographic technique and MATLAB software. For each pollen species, 50 measurements were taken of maximum, minimum and mean values of area, eccentricity, pole-length and equator-length. P/E and area standard deviations were computed. Variance analysis of the areas of 8 pollen species showed that the method can distinguish the 8 pollen species with reliability of 99%. Cluster analysis of mean eccentricity, pole-length, equator-length and P/E parameter of 5 species of Populus showed that the 5 species can be divided into 3 groups. P. canadensis Moench and P. simonfi Carrière form one group; P. tomentosa Carrière and P. davidiana Dode form another group; P. cathayana Rehder stands alone as the third group. This outcome is consistent with scanning electron microscopy results. The method offers a speedy and convenient way for quantitative analysis of pollen morphology, provides more useful data for pollen analysis and improves the accuracy, by about 10 times, than with estimation by the naked eye.
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