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ORIGINAL RESEARCH article

Front. Plant Sci.

Sec. Crop and Product Physiology

Influences of Organic Nitrogen Application Ratio on Oil Content in Flue-cured Tobacco Based on Field Experiments and a Random Forest Model

Provisionally accepted
ZIJUN  SUNZIJUN SUN1WANHUI  JIANGWANHUI JIANG1Huaiyuan  LiHuaiyuan Li2Yaoxing  LiangYaoxing Liang3Xin  YangXin Yang3Chen  PengChen Peng3Lanjun  ShaoLanjun Shao3Qihang  YangQihang Yang3Jijiao  FuJijiao Fu3Jianjun  ChenJianjun Chen2*Shiyuan  DengShiyuan Deng1*
  • 1South China Agricultural University College of Agriculture, Guangzhou, China
  • 2South China Agricultural University Center for Basic Experiments and Practical Training, Guangzhou, China
  • 3China Tobacco Guangdong Industrial Co Ltd, Guangzhou, China

The final, formatted version of the article will be published soon.

Abstract: Tobacco is a key economic crop, with leaf oil content serving as a critical determinant of leaf quality. To address the limited understanding of mechanisms underlying oil content improvement and the decline in flue-cured tobacco quality caused by long-term reliance on chemical fertilizers, this study integrated field experiments with a machine learning approach. Five treatments with varying organic nitrogen ratios (0%, 10%, 20%, 30%, and 40%) were evaluated at a single experimental site in Hengyang, Hunan. Results indicated that a 30% organic nitrogen ratio significantly enhanced the activity of key lipid metabolism enzymes, promoted the accumulation of lipid metabolites (including cembratriene-diol and sucrose esters), increased glandular trichome density, and improved leaf physical properties such as softness, tensile strength, and thickness, ultimately achieving the highest oil content. Using a robust data augmentation strategy and Recursive Feature Elimination, a Random Forest model was constructed to dissect the complex regulatory network. The model achieved a high predictive accuracy (CV R² = 0.819) on the augmented dataset, significantly outperforming the model based on original small-sample data. Feature importance analysis identified petroleum ether extract, cembratriene-diol, leaf softness, reducing sugar, and glandular trichome density as the primary predictors. Significant interactions among these features were also revealed by SHAP dependence plots. These findings provide a theoretical basis for optimizing organic nitrogen application to enhance tobacco leaf oil content and quality in agricultural production.

Keywords: Flue-cured tobacco, Glandular trichomedevelopment, Lipid Metabolism, oil content, Organic nitrogen ratio, random forest model

Received: 14 Dec 2025; Accepted: 11 Feb 2026.

Copyright: © 2026 SUN, JIANG, Li, Liang, Yang, Peng, Shao, Yang, Fu, Chen and Deng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Jianjun Chen
Shiyuan Deng

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