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Journal of Agriculture ›› 2026, Vol. 16 ›› Issue (5): 101-108.doi: 10.11923/j.issn.2095-4050.cjas2025-0081

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Study on Applicability of WOFOST Model in Xuchang Tobacco Production

LI Wenfeng1(), JIN Shuyuan2,3, PU Tuanwei4()   

  1. 1 Xuchang Meteorological Bureau, Xuchang, Henan 461113
    2 Hunan Provincial Meteorological Service Center, Changsha 410118
    3 Hunan Provincial Key Laboratories of Meteorological Disaster Prevention and Mitigation, Changsha 410118
    4 Henan Tobacco Company Xuchang City Company, Xuchang, Henan 461000
  • Received:2025-04-10 Revised:2026-03-23 Online:2026-05-20 Published:2026-05-15

Abstract:

To address the issue of relying on experience and lacking quantitative simulation tools in the production management of flue-cured tobacco in central Henan, in order to clarify the applicability of WOFOST model in Xuchang flue-cured tobacco production area, the parameter sensitivity analysis was carried out by OAT (one-at-a-time) method, and the localization calibration and independent verification of the model were completed by ' trial and error method '. The study was based on the field observation and meteorological data of Jian'an District and Xiangcheng County of Xuchang, Henan Province from 2021 to 2022, and the model's simulation accuracy for leaf dry weight (WLV), above-ground biomass (AGP), and leaf area index (LAI) was evaluated using the coefficient of determination (R2), consistency index (d), and normalized root mean square error (NRMSE). The main conclusions are as follows. (1) In the calibration of leaf dry weight (WLV), the simulation values from the WOFOST model showed a significant linear relationship with the observed values, indicating high accuracy in simulating leaf dry weight. The calibration accuracy for above-ground biomass (AGP) was also good. However, the calibration of the leaf area index (LAI) was less accurate, with NRMSE ranging from 20% to 30%. (2) The model was validated using data from Xuchang in 2021, Xuchang and Xiangcheng in 2022, and the simulation results were good for the most important biomass, leaf dry weight. Overall, the WOFOST model showed high accuracy in validation. The R2 and consistency index d of 90 % (8 / 9) validation data were higher than 0.8, nearly 80 % (7 / 9) were higher than 0.9, and NRMSE was between 10 % and 20 %. The correlation and consistency between simulated and measured values were good. (3) After calibration and verification, the WOFOST model could effectively simulate the growth process of tobacco in Xuchang, Henan, providing a foundation for quantitative and digital management of tobacco production. Subsequently, remote sensing data can be coupled to carry out research on crop growth monitoring and yield forecasting.

Key words: tobacco, WOFOST model, quantification, parameter localization, calibration, verification

CLC Number: