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《Guangdong Agricultural Sciences》 2019-02
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Analysis of Differences in Potassium Content among Tobacco Germplasm and Screening of Field Identification Indicators

MA Zhuwen;ZHANG Zhenchen;YUAN Qinghua;QU Yujiao;LI Jiqin;LI Shuling;CHEN Junbiao;Crop Research Institute, Guangdong Academy of Agricultural Sciences;  
[Objective]In this paper, the screening of field identification indicators of potassium content in tobacco leaves was explored and the difference of potassium content among tobacco germplasms was analyzed in order to select suitable identification indicators and establish a mathematical evaluation model.[Method]31 tobacco germplasms were treated in field experiments. 11 morphological characteristic indicators, such as plant height(x_1), stem girth(x_2),intermodal distance(x_3), leaf number(x_4), maximum leaf length(x_5), maximum leaf width(x_6), angle of lateral vto midrib(x_7), angle between stem and leaf(x_8), corolla length(x_9), corolla diameter(x_(10))and calyx length(x_(11))were investigated and hierarchical cluster analysis, principal component analysis, factor analysis and multiple stepwise regression analysis were used to comprehensively evaluate the potassium content in tobacco leaves. [Result]Results revealed that 31 tobacco germplasm were clustered into high potassium germplasm, medium potassium germplasm and low potassium germplasm by cluster analysis. 11 single indexes were transformed into 5 independent comprehensive indicators through principal component analysis, which represented 84.624% of the whole data of the traits related to tobacco potassium content. And a mathematical evaluation model of potassium content in tobacco leaves was established by multiple stepwise regression analysis, i.e.y=-1.699+0.041 x_5+0.831 x_(10)(R~2=0.9602),with an accuracy of 89.66%.[Conclusion]Leaf length(x_5)and corolla diameter(x_(10))reflected the potassium content of tobacco leaves significantly and could be used as field identification indicators for the potassium content of tobacco leaves.
【Fund】: 广东省烟草专卖局科技计划项目(粤烟科[2012]28号);; 广东省自然科学基金(2016A030313781);; 广东省农业厅科技项目(粤农计[2018]36号)
【CateGory Index】: S572
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