【摘要】 根据Galet的葡萄叶形结构测定原理,用多元判别法和计算机图形分析,对我国主要栽培的9个酿酒葡萄品种叶片形态参数进行数值化鉴别。结果表明,测量的9个叶形结构参数在区分品种上有不同的作用,尤其以SS,SI和S3个指标所起作用最大。9个品种的多元判别分析的平均拟合率为78.8%,达到了判别目的。蛇龙珠是可能是1个与"Cabernet"家族亲缘关系十分接近、且独立存在的品种。同时根据叶片测量数据,绘制叶形结构参数均值脸谱图形,以便直观地对葡萄品种进行鉴别。更多还原

【Abstract】 Galet’s ampelograpic method, discriminant analysis and computer graphics were adopted to identify and describe 9 wine grape cultivars widely cultivated in China. Foliar structural ampelometry in the trial revealed that the 9 leaf morphological parameters studied contribute variously to cultivar determination, with 3 parameters [SS (superior sinus), SI (inferior sinus) and S (foliar area)] making the greatest contribution. In contrast, discriminant analysis could differentiate the 9 cultivars with an average fitness of 78.8%. It was found by discriminant analysis and computer graphics that the cultivar Cabernet Gernischet was a close relative to the members of "Cabernet", which exists probably only in China. The 9 cultivars were finally characterized by chernoff faces of foliar structure means.更多还原