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作 者:杨洋 杨婷 杨雨波 任明超 张劲 龚霜 杨盛刚 吴有祥 王建民 YANG Yang;YANG Ting;YANG Yu-bo;REN Ming-chao;ZHANG Jin;GONG Shuang;YANG Sheng-gang;WU You-xiang;WANG Jian-min(China Tobacco Guizhou Industiral Co.,Ltd.,Guiyang550000,China;School of Food and Bioengineering,Zhengzhou University of Light Industry,Zhengzhou450002,China;Qianxinan Redrying Factory,Guizhou Tobacco Redrying Co.,Ltd.,Xingyi562409,Guizhou,China)
机构地区:[1]贵州中烟工业有限责任公司,贵阳550000 [2]郑州轻工业大学食品与生物工程学院,郑州450002 [3]贵州烟叶复烤有限责任公司黔西南复烤厂,贵州兴义562409
出 处:《湖北农业科学》2023年第8期144-148,共5页Hubei Agricultural Sciences
基 金:贵州中烟工业有限责任公司重点科技项目(GZZYKJ/JZ2019GSY0091)。
摘 要:为探究烟片皱缩率与叶片厚度等常规物理指标的关系,测定了15种烟叶的叶面密度、叶片厚度、平衡含水率、阴燃时间、抗张强度以及皱缩率,并采用方差分析、简单相关分析、冗余分析等方法对测量结果进行了分析。结果表明,烟叶产地和部位对烟片皱缩率均有极显著影响,但部位的影响更大;皱缩率随着部位的降低而降低,降低的幅度因产地不同而异。皱缩率与叶面密度、叶片厚度之间有较强的相关性,并随叶面密度、叶片厚度的增大而增大。对以烟叶产地、部位等定性变量及各种理化指标为定量变量构成的体系进行研究时,冗余分析是一种适合的方法,既可以分析定性变量对定量变量的影响,又可以基于定量变量与定性变量间的关系探究定量变量之间的相关性进而从本质上了解指标间的关系。In order to explore the relationship between shrinkage rate of tobacco and traditional physical indicators,the leaf density,leaf thickness,equilibrium moisture content,smoldering time,tensile strength and shrinkage rate of 15 kinds of tobacco were measured,and the measurement results were analyzed by means of variance analysis,simple correlation analysis and redundancy analysis.The results showed that the producing area and position of tobacco leaf had significant effects on the shrinkage rate of tobacco,but the position had a greater effect;the shrinkage rate decreased with the decrease of position,and the range of reduction varied with different producing areas.There was a strong correlation between shrinkage rate and leaf density and leaf thickness.In addition,shrinkage rate raised with the increase of leaf density and leaf thickness.When studying the system composed of qualitative variables such as tobacco producing area and position and quantitative variables which were mainly composed of various physical and chemical indicators,redundancy analysis was a suitable method.It could not only analyze the impact of qualitative variables on quantitative variables,but also explore the correlation between quantitative variables based on the relationship between quantitative variables and qualitative variables,so as to understand the relationship between indicators in essence.
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