烤烟烟碱含量与物理性状的关系分析

Relationship between nicotine content and physical property in flue-cured tobacco leaves

以我国主产烟区的主栽烤烟品种K326为材料,测定了3个等级(C3F、B2F和X2F)共计391份样品的烟碱含量和物理性状,分析了烟碱含量与物理性状的相互关系。结果表明:烟碱含量和物理性状在样品间存在着广泛的变异;在一定范围内,烟碱含量与上部叶单叶重呈显著正相关,与上、下部叶长分别呈极显著正相关和显著负相关;与中、下部叶宽分别呈显著负相关和极显著负相关,与厚度和叶面密度均不相关;烟叶烟碱含量与上部叶单叶重的关系可用S形曲线(?)=e^(1.484-2.041/x)来描述,与上、下部叶长的关系可分别用逆函数(?)=8.225—265.570/x和(?)=0.427+105.053/x来描述,与中、下部叶宽的关系可分别用二次函数(?)=0.533+ 0.316x-0.010x^2和(?)=-0.157+0.307x-0.009x^2来描述,且均达到显著水平,烟碱含量与其他物理性状的曲线回归不显著,表明曲线回归一般较简单线性回归分析更有效。简单相关、曲线回归和次数分布3种方法结合可以较好地反映烟碱含量和物理性状的内在关系。

391 samples including three grades（C3F,B2F and X2F）of K326,a flue-cured tobacco cultivar widely planted in main tobacco-growing areas of China,were selected to determine and analyze the relationship between nicotine content and physical properties.Results indicated that there existed extensive variation among samples for physical properties and the nicotine content.In the given range,the nicotine content had significant positive correlation with the single leaf weight of upper leaf,high positive correlation and negative correlation with leaf length of upper leaf and lower leaf respectively,negative correlation and high negative correlation with leaf width of cutters and lower leaf respectively,and no correlation with other physical properties.The relationship could be described by S equation ^↑y=e^（1.484-2.041/x）between nicotine content and single leaf weight of upper leaf,by inverse equation ^↑y=8.225 - 265.570/x and ^↑y=0.427 ＋ 105.053/x between nicotine content and leaf length of upper leaf and lower leaf respectively,by quadratic equation ^↑y=0.533 ＋ 0.316x-0.010x^2 and ^↑y=-0.157 ＋0.307x-0.009x^2 between nicotine content and leaf width of cutters and lower leaf respectively.All above equations were significant at 5% level.However,the curve regression equation between nicotine content and other physical properties was not significant at 5 % level,and were more efficient than simple linear regression.The relationship between nicotine and physical properties could be described by using the methods of linear correlation,curve regression and degree distribution.