主成分、聚类和判别分析在翠碧一号烤烟加工性能划分中的应用  

Application of principal component analysis,cluster analysis and discriminant analysis in the classification of processing properties of Cuibi No.1 flue-cured tobacco

作　　者：庄增坤 王清旺 陆军[2] 陈清柏 林梦涵 ZHUANG Zengkun;WANG Qingwang;LU Jun;CHEN Qingbai;LIN Menghan(Fujian Sanming Golden Leaf Rebaking Co.,Ltd.,Sanming 365000,China;Raw Material Department of Jiangsu Zhongyan Industry Co.,Ltd.,Nanjing 210000,China)

机构地区：[1]福建省三明金叶复烤有限公司,福建三明365000 [2]江苏中烟工业有限责任公司原料部,江苏南京210000

出　　处：《安徽农学通报》2024年第23期95-101,共7页Anhui Agricultural Science Bulletin

摘　　要：为对翠碧一号烤烟的加工性能进行进一步划分,对400个烤烟样品(2020—2023年生产于福建)的单叶重、叶面密度等11项物理特性指标,和总植物碱、总糖等5项化学成分指标进行主成分分析;分别从烟叶的强度性能、化学性能、尺寸性能、撕扯性能和吸湿性能5个方面反映烟叶的综合特性,建立烟叶加工性能综合得分数学模型Y=0.415y_(1)+0.210y_(2)+0.173y_(3)+0.116y_(4)+0.085y_(5),计算样品的加工性能综合得分。根据综合得分进行聚类分析,将400个样品分为4类。基于聚类分析的分类数,对294个未分类的烤烟样品进行判别分析。主成分分析结果表明,提取特征值≥1的因子,共提取5个因子,其累计方差贡献率达78.643%。聚类分析结果表明,第Ⅰ类综合得分-2.62~-0.84,加工性能一般,主要为中偏下部烟叶;第Ⅱ类综合得分1.24~3.07,加工性能强,主要为上部烟叶;第Ⅲ类综合得分0.24~1.23,加工性能较强,主要为中偏上部烟叶;第Ⅳ类综合得分-0.83~0.23,加工性能适中,主要为中部烟叶。判别分析结果表明,其各类别的加工性能综合得分范围与聚类分析结果基本重合,对初始分组进行判别及交叉验证,其中初始分组正确率94.3%,交叉验证分组正确率91.3%。本研究为翠碧一号烤烟打叶复烤加工处理提供理论和数据支撑。To further classify the processing performance of Cuibi No.1 tobacco,principal component analysis was conducted on 11 physical characteristic indicators such as single leaf weight and leaf density,as well as 5 chemical component indicators such as total plant alkaloids and total sugars,of 400 tobacco samples(produced in Fujian Province from 2020 to 2023).The comprehensive characteristics of tobacco leaves are reflected from 5 aspects:strength performance,chemical performance,size performance,tearing performance,and moisture absorption performance.A mathematical model for the comprehensive score of tobacco processing performance is established,which is Y=0.415y_(1)+0.210y_(2)+0.173y_(3)+0.116y_(4)+0.085y_(5).The comprehensive score of processing performance of the sample was calculated.Cluster analysis was conducted based on the comprehensive score,and 400 samples were divided into 4 categories.Discriminant analysis was conducted on 294 unclassified tobacco samples based on cluster analysis of classification numbers.The results of principal component analysis showed that for factors with eigenvalues≥1,a total of 5 factors were extracted,and their cumulative variance contribution rate reached 78.643%.The clustering analysis results indicate that the comprehensive score of Class Ⅰ ranges from -2.62 to -0.84,with average processing performance,mainly consisting of middle to lower tobacco leaves;The comprehensive score of Class Ⅱ ranges from 1.24 to 3.07,indicating strong processing performance,mainly consisting of upper tobacco leaves;The comprehensive score of Class Ⅲ was 0.24~1.23,indicating strong processing performance,mainly consisting of middle to upper tobacco leaves;The comprehensive score of Class Ⅳ was -0.83~0.23,with moderate processing performance,mainly for central tobacco leaves.The discriminant analysis results showed that the comprehensive score range of processing performance for each category basically overlapped with the clustering analysis results.The initial grouping was discriminated a

关 键 词：翠碧一号 烤烟 理化特性 加工性能 主成分分析 数学模型 聚类分析 判别分析 

分 类 号：TS443[农业科学—烟草工业]