我国主要酿酒葡萄品种的叶形结构鉴别研究

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“Cabemet”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。

STUDIES ON AMPELOMETRIC DETERMINATION FOR PRINCIPAL CULTIVARS OF WINE GRAPE GROWN IN CHINA

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.