| 摘要: |
| 【目的】 确立合理的氮磷钾配比方案，以提高烤烟的综合化学成分。【方法】 在陕南烟区，运用三因素五水平二次正交旋转组合设计方法，进行田间氮磷钾施肥试验，用因子分析法对16个不同施肥处理的烟叶化学成分进行分析，按累计方差贡献率提取4个因子，得出不同试验处理烟叶化学成分综合得分方程，以烟叶化学成分综合得分为新指标，进行系统聚类分析。【结果】 13项烟叶化学成分指标在对不同施肥处理的评价中均起到了较好的解释作用；由因子分析得到了烟叶化学成分的综合得分方程；以综合得分作为评价其化学成分的新指标进行聚类分析，将16个不同施肥处理分为6大类，其中8号处理烟叶的综合化学成分最佳。【结论】 施肥方案为氮肥107.84 kg/hm2、磷肥146.75 kg/hm2、钾肥212.63 kg/hm2时，烟叶综合化学成分最佳。 |
| 关键词: 烤烟 氮磷钾肥 化学成分 因子分析 聚类分析 |
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| 基金项目:中国烟草总公司陕西省公司科学研究与技术开发项目重大专项（ZDKJ 01 2008） |
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| Effect of combined application of N,P and K fertilizers on chemical composition of flue-cured tobacco in south Shaanxi Province |
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| Abstract: |
| 【Objective】 The study was to evaluate the chemical composition of flue-cured tobacco comprehensively,and to get the best N,P and K fertilization program.【Method】 The field N,P and K fertilization experiment was designed with the method of three-factor five-level two orthogonal revolving combination.The 16 different fertilizations on chemical composition of flue-cured tobacco in south Shaanxi tobacco growing area were analyzed by factor analysis.Four principal components with accumulative contribution were obtained.And also the score equation of different fertilizations on chemical composition of flue-cured tobacco was obtained.Chemical composition of flue-cured tobacco score was used as a new indicator to conduct hierarchical cluster analysis.【Result】 The 13 terms of chemical composition of flue-cured tobacco all give good explanation in the evaluation of different fertilizations.The chemical composition of flue-cured comprehensive tobacco scores equation was obtained by the factor analysis.And using the comprehensive scores as the new index,the hierarchical cluster analysis was carried out.The 16 different fertilizations were divided into 6 ranks,of which best fertilization was the No.8.【Conclusion】 When the fertilizer rates were N at 107.84 kg/hm2，P at 146.75 kg/hm2，K at 212.63 kg/hm2,the chemical composition of flue-cured tobacco was the best in this experiment. |
| Key words: flue-cured tobacco N,P and K fertilizer chemical composition factor analysis hierarchical cluster analysis |
