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为筛选高烟碱、低总糖含量以及农艺性状优良的晒烟栽培种,用于除传统卷烟外的其他烟草制品(口含烟)的生产,从国家烟草种质资源库中选取88份晒烟种质,在山东沂水县按当地晒烟栽培调制技术进行生产,对烟株的农艺性状和烟叶烟碱、总糖含量(质量分数)进行测定并进行聚类分析和灰色关联度分析.结果表明:依据晒烟烟叶的烟碱和总糖含量,在欧式距离为2.0时将88份晒烟种质分为三大类,第一类晒烟烟碱和总糖含量的适宜性最差,有5份种质;第二类晒烟烟碱和总糖含量的适宜性次之,共有32份种质;第三类晒烟的烟碱和总糖含量的适宜性最好,共有51份种质.通过对烟碱和总糖含量适宜性最好的晒烟农艺性状指标聚类分析,在欧式距离为1.7时又将第三类晒烟分为3类,第Ⅰ类晒烟种质(11份)的农艺性状表现最优,第Ⅱ类晒烟种质(28份)的农艺性状表现次之,第Ⅲ类晒烟种质(12份)的农艺性状表现最差.对第Ⅰ类晒烟种质(共11份)进行烟碱、总糖含量以及农艺性状的灰色关联度分析,加权关联度排序依次为S32>S65>S63>S58>S48>S61>S36>S47>S43>S59>S29.因此,筛选出的优质晒烟种质为S32,其次是S65和S63.“,”In order to identify sun-cured tobacco cultivars with high nicotine content, low total sugar content and good agronomic traits for producing tobacco products (such as snus) other than traditional cigarettes, 88 sun-cured tobacco germplasms were selected from National Tobacco Germplasm Repository and cultured in Yishui, Shandong according to the local cultivation technology and curing methods for sun-cured tobacco. The agronomic traits of tobacco plants and the contents of nicotine and total sugar in tobacco leaves were determined and analyzed by cluster and grey correlation. The results showed that on the basis of the contents of nicotine and total sugar, the 88 sun-cured tobacco germplasms could be classified into 3 categories at the Euclidean distance of 2.0; the suitability of nicotine and total sugar contents of 5 germplasms in Category Ⅰwas the worst, that of 32 germplasms in Category Ⅱ was better, and that of 51 germplasms in Category Ⅲ was the best. According to agronomic traits, the germplasms in Category Ⅲ were divided into 3 classes at the Euclidean distance of 1.7; the agronomic traits of 11 germplasms in Class Ⅰ were the best, those of 28 germplasms in Class Ⅱ were better, and those of 12 germplasms in Class Ⅲ were the worst. The contents of nicotine and total sugar and the agronomic traits of Class Ⅰ were analyzed by grey correlation, the 11 germplasms in the order of weighted relational grade were S32>S65>S63>S58>S48>S61>S36>S47>S43>S59>S29. Therefore, the identified quality sun-cured tobacco cultivar was S32, followed by S65 and S63.