用灰色关联度对烟草不同模块的化学成分分析  

Analysis of the Chemical Composition in Different Type of Tobacco with Grey Relational Analysis

作　　者：杨进文[1] 史雨刚[1] 王曙光[1] 孙黛珍[1] 陈卫国[2] 魏治中[1] 

机构地区：[1]山西农业大学农学院,山西太谷030801 [2]山西农业大学生命科学学院,山西太谷030801

出　　处：《山西农业大学学报（自然科学版）》2013年第2期169-177,共9页Journal of Shanxi Agricultural University(Natural Science Edition)

基　　金：山西省科技攻关项目(20100311001-6);CGIAR挑战计划项目(GCP)(G7010.02.01-7)

摘　　要：以4个新型烟草品种和不同叶位组成的76个模块为试材,对其成熟期烤制的叶片进行各项主要化学成分的测定和烟叶评吸质量的各项指标的综合评分;利用灰色关联度计算各项主要化学成分与综合评分的关联度。结果表明,影响新型烟草综合评分的主要化学成分是还原糖碱比、总氮和蛋白质,其次是总糖和还原糖,最后是钾和氯。两种综合评估方法的分析结果基本相同,且与实际结果表现基本相符。The chemical compositions and smoking quality of baked leaves of four new types of tobacco were analyzed u sing the 76 modules which were composed of leaves from different position of the plants. The Gray relational grade was used to calculate the degree of the correlation of the chemical composition with the smoking quality score. The results showed that the ratio of reducing sugar to nicotine, total nitrogen and protein were the major factors which affected the smoking quality of the tobacco; followed by total sugar and reducing sugar, and then potassium and chlorine. Two comprehensive evaluation methods showed the same results and were consistent with the actual result.

关 键 词：新型烟草 评吸质量 化学成分 灰色关联度 

分 类 号：S334.3[农业科学—作物遗传育种]