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Vegetable Commodity Organ Quality Formation Simulation Model (VQSM) in Solar Greenhouses

Author

Listed:
  • Chen Cheng

    (College of Ecology, Lishui University, Lishui 323000, China
    College of Resources and Environment Sciences, China Agricultural University, Beijing 100193, China)

  • Liping Feng

    (College of Resources and Environment Sciences, China Agricultural University, Beijing 100193, China)

  • Chaoyang Dong

    (Tianjin Climate Center, Tianjin 300074, China)

  • Xianguan Chen

    (College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Feiyun Yang

    (China Meteorological Administration Training Center, Beijing 100081, China)

  • Lu Wu

    (China Meteorological Administration Training Center, Beijing 100081, China)

  • Jing Yang

    (College of Ecology, Lishui University, Lishui 323000, China)

  • Chengsen Zhao

    (College of Ecology, Lishui University, Lishui 323000, China)

  • Guoyin Yuan

    (College of Ecology, Lishui University, Lishui 323000, China)

  • Zhenfa Li

    (Tianjin Climate Center, Tianjin 300074, China)

Abstract

Cucumber ( Cucumis sativus L.) and celery ( Apium graveolens L.) are among the most widely cultivated vegetable crops, belonging to the melon and leafy vegetable categories, respectively. This study aims to provide predictions for the quality formation of greenhouse cucumber and celery, as well as technical support for intelligent vegetable production management. Based on the light and temperature response characteristics of cucumber and celery growth and development and using the experimental varieties ‘Jinsheng 206’ for cucumber and ‘Juventus’ for celery, the observational data from a five-cropping season trial over 2 years were utilized. By analyzing the relationship between the growth and development of vegetables and key meteorological factors (radiation and temperature), simulation models for quality formation were constructed using the day–night temperature difference method ( ATD ) and the product of thermal effectiveness and the photosynthetically active method ( TEP ) as independent variables. The model parameters were determined and the model was validated using independent trial data. The results showed the following: (1) There exist quantifiable relationships between different quality indicators and ATD or TEP . These relationships are mainly presented through linear functions, exponential functions, logarithmic function, and logical functions. (2) The normalized root mean square error (NRMSE) of the cucumber quality model ranges from 1.13% to 29.53%, and the NRMSE of the celery quality model ranges from 1.63% to 31.47%. (3) Based on two kinds of normalization methods, the average NRMSE of the VQSM model is 13.72%, demonstrating a relatively high level of accuracy in simulation. These results demonstrate that the proposed model can dynamically and accurately simulate the quality formation process of vegetables, providing a theoretical basis and data support for the research on productivity and the economic benefits of greenhouse crops.

Suggested Citation

  • Chen Cheng & Liping Feng & Chaoyang Dong & Xianguan Chen & Feiyun Yang & Lu Wu & Jing Yang & Chengsen Zhao & Guoyin Yuan & Zhenfa Li, 2024. "Vegetable Commodity Organ Quality Formation Simulation Model (VQSM) in Solar Greenhouses," Agriculture, MDPI, vol. 14(9), pages 1-16, September.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:9:p:1531-:d:1472053
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    References listed on IDEAS

    as
    1. Shen, Hongzheng & Wang, Yue & Jiang, Kongtao & Li, Shilei & Huang, Donghua & Wu, Jiujiang & Wang, Yongqiang & Wang, Yangren & Ma, Xiaoyi, 2022. "Simulation modeling for effective management of irrigation water for winter wheat," Agricultural Water Management, Elsevier, vol. 269(C).
    2. Qu, Zhaoming & Chen, Qi & Feng, Haojie & Hao, Miao & Niu, Guoliang & Liu, Yanli & Li, Chengliang, 2022. "Interactive effect of irrigation and blend ratio of controlled release potassium chloride and potassium chloride on greenhouse tomato production in the Yellow River Basin of China," Agricultural Water Management, Elsevier, vol. 261(C).
    3. Ai, Pengrui & Ma, Yingjie & Hai, Ying, 2021. "Influence of jujube/cotton intercropping on soil temperature and crop evapotranspiration in an arid area," Agricultural Water Management, Elsevier, vol. 256(C).
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