中国农业气象 ›› 2024, Vol. 45 ›› Issue (12): 1487-1495.doi: 10.3969/j.issn.1000-6362.2024.12.009

• 农业生物气象栏目 • 上一篇    下一篇

基于气象因子的设施番茄果实生长模拟模型

李威,柳军,刘阳,江澜,谢金花,王学林,张玉龙   

  1. 1.合肥市气象局,合肥 230041;2.巢湖市气象局,巢湖 238010;3.肥东县气象局,肥东 231699
  • 收稿日期:2023-12-05 出版日期:2024-12-20 发布日期:2024-12-20
  • 作者简介:李威,E-mail:1627428499@qq.com
  • 基金资助:
    中国气象局创新发展专项项目(CXFZ2023J053)

Research on Simulation Model of Tomato Fruit Growth Based on Meteorological Factors

LI Wei, LIU Jun, LIU Yang, JIANG Lan, XIE Jin-hua, WANG Xue-lin, ZHANG Yu-long   

  1. 1. Hefei Meteorological Bureau, Hefei 230041, China; 2. Chaohu Meteorological Bureau, Chaohu 238010; 3. Feidong Meteorological Bureau, Feidong 231699
  • Received:2023-12-05 Online:2024-12-20 Published:2024-12-20

摘要:

为探明设施棚内小气候对设施番茄果实生长速度的影响,利用合肥农业气象试验站2022年和2023年大棚栽培试验番茄果实横径、单果重数据和同期光照、温度、湿度等棚内气象数据,参考辐热积和水稻钟模型,建立基于气象因子贡献度的设施番茄横径、单果重生长模型,运用2022年试验数据对模型进行验证。结果表明:模型对设施番茄横径和单果重模拟效果较好,其中番茄横径模拟的RMSE1.03mm,MAE0.84mm,MRE7.5%果重模拟RMSE692.59mgMAE395.44mgMRE8.2%。两个模型的决定系数均在0.98以上,说明模型具备应用价值,可为设施番茄栽培环境调控提供理论依据。

关键词: 设施番茄, 横径, 单果重, 气象因子, 模拟模型

Abstract:

 To explore the effect of greenhouse microclimate on the growth of protected tomatoes, two models were established: one for simulating the transverse diameter and another for the single fruit weight. These models incorporated accumulated radiation-heat and the rice clock model, utilizing data on the transverse diameter and single fruit weight of protected tomatoes, as well as concurrent meteorological data including illumination, temperature, and humidity from the greenhouse at Hefei Agricultural Meteorological Experiment Station for the years 2022 and 2023. The accuracy of both was verified using experimental data from 2022. Results indicated that both models effectively simulated the transverse diameter and single fruit weight of protected tomatoes, respectively. The transverse diameter model achieved a root mean square error (RMSE) of 1.03mm, a mean absolute error (MAE) of 0.84mm, and a mean relative error (MRE) of 7.5%. The single fruit weight model achieved an RMSE of 692.59mg, an MAE of 395.44mg, and MRE of 8.2%. Decision coefficients exceeded 0.98 for both models, suggesting they possess practical value and can provide a theoretical foundation for environmental regulation in protected tomato cultivation.

Key words: Plant tomato, Transverse diameter, Single fruit weight, Meteorological factors, Simulation model