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Energy partitioning of greenhouse cucumber based on the application of Penman-Monteith and Bulk Transfer models

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  • Yan, Haofang
  • Acquah, Samuel Joe
  • Zhang, Chuan
  • Wang, Guoqing
  • Huang, Song
  • Zhang, Hengnian
  • Zhao, Baoshan
  • Wu, Haimei

Abstract

Partitioning between latent (LET) and sensible (H) heat fluxes is critical in improving the greenhouse crops irrigation scheduling and microclimate. By applying the Bulk Transfer (BT) and Penman-Monteith (PM) models, the energy fluxes in different growing stages of the cucumber crop were determined in a Venlo-type greenhouse. The application of the BT and PM models is constrained by accurate parameterizations of canopy resistance (rc) and aerodynamic resistance (ra). In this paper, we measured micrometeorological data, crop growth index and LET during cucumber growing seasons in spring and autumn of 2016. The rc was modelled with stomatal conductance of cucumber leaves and validated with actual measurement of LET by lysimeters. The results showed that rc varied from 35 s m−1 during the day to 500 s m−1 at night in spring season, whilst it ranged from 40 s m−1 during the day to 1000 s m−1 at night in autumn season. Comparison of rc estimated by the PM and the BT models demonstrated that the rc estimated by the two methods were similar and highly correlated for both seasons. During the spring season, the PM and the BT models gave the determination coefficients (R2) of predicted hourly LET equal to 0.94 and 0.83, whereas during the autumn season, the values were 0.94 and 0.76, respectively. The average root mean square errors (RMSE) of measured and predicted hourly LET were 96.97 and 74.74 W m-2 for the spring and autumn seasons for PM model, respectively. In contrast, the BT model gave RMSE of measured and predicted hourly LET of 82.47 and 69.14 W m-2, for spring and autumn, respectively. The results also depicted that the simplified energy balance approach was a feasible alternative to partition the energy fluxes in the greenhouse. The predictions made in this study would be an easy and relatively accurate way to partition greenhouse cucumber energy fluxes and thus, scientifically plan the irrigation schedule. In conclusion, this study provides scientific basis for optimizing efficient water-saving irrigation, development of a suitable irrigation scheduling and improving crop water use efficiency in the greenhouse, and consequently, more energy savings by avoiding excessive water application and thereby the objective of having improved and satisfactory yield and higher economic returns can be achieved.

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  • Yan, Haofang & Acquah, Samuel Joe & Zhang, Chuan & Wang, Guoqing & Huang, Song & Zhang, Hengnian & Zhao, Baoshan & Wu, Haimei, 2019. "Energy partitioning of greenhouse cucumber based on the application of Penman-Monteith and Bulk Transfer models," Agricultural Water Management, Elsevier, vol. 217(C), pages 201-211.
    • Handle: RePEc:eee:agiwat:v:217:y:2019:i:c:p:201-211
    DOI: 10.1016/j.agwat.2019.02.036
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    1. Li, Bo & Shi, Bijiao & Yao, Zhenzhu & Kumar Shukla, Manoj & Du, Taisheng, 2020. "Energy partitioning and microclimate of solar greenhouse under drip and furrow irrigation systems," Agricultural Water Management, Elsevier, vol. 234(C).
    2. Gong, Xuewen & Qiu, Rangjian & Zhang, Baozhong & Wang, Shunsheng & Ge, Jiankun & Gao, Shikai & Yang, Zaiqiang, 2021. "Energy budget for tomato plants grown in a greenhouse in northern China," Agricultural Water Management, Elsevier, vol. 255(C).
    3. Yan, Haofang & Li, Mi & Zhang, Chuan & Zhang, Jianyun & Wang, Guoqing & Yu, Jianjun & Ma, Jiamin & Zhao, Shuang, 2022. "Comparison of evapotranspiration upscaling methods from instantaneous to daytime scale for tea and wheat in southeast China," Agricultural Water Management, Elsevier, vol. 264(C).
    4. Qu, Feng & Zhang, Qi & Jiang, Zhaoxi & Zhang, Caihong & Zhang, Zhi & Hu, Xiaohui, 2022. "Optimizing irrigation and fertilization frequency for greenhouse cucumber grown at different air temperatures using a comprehensive evaluation model," Agricultural Water Management, Elsevier, vol. 273(C).
    5. Huang, Song & Yan, Haofang & Zhang, Chuan & Wang, Guoqing & Acquah, Samuel Joe & Yu, Jianjun & Li, Lanlan & Ma, Jiamin & Opoku Darko, Ransford, 2020. "Modeling evapotranspiration for cucumber plants based on the Shuttleworth-Wallace model in a Venlo-type greenhouse," Agricultural Water Management, Elsevier, vol. 228(C).
    6. Gong, Xuewen & Qiu, Rangjian & Sun, Jingsheng & Ge, Jiankun & Li, Yanbin & Wang, Shunsheng, 2020. "Evapotranspiration and crop coefficient of tomato grown in a solar greenhouse under full and deficit irrigation," Agricultural Water Management, Elsevier, vol. 235(C).
    7. Haofang Yan & Song Huang & Jianyun Zhang & Chuan Zhang & Guoqing Wang & Lanlan Li & Shuang Zhao & Mi Li & Baoshan Zhao, 2022. "Comparison of Shuttleworth–Wallace and Dual Crop Coefficient Method for Estimating Evapotranspiration of a Tea Field in Southeast China," Agriculture, MDPI, vol. 12(9), pages 1-17, September.
    8. Yan, Haofang & Deng, Shuaishuai & Zhang, Chuan & Wang, Guoqing & Zhao, Shuang & Li, Mi & Liang, Shaowei & Jiang, Jianhui & Zhou, Yudong, 2023. "Determination of energy partition of a cucumber grown Venlo-type greenhouse in southeast China," Agricultural Water Management, Elsevier, vol. 276(C).
    9. Yan, Haofang & Yu, Jianjun & Zhang, Chuan & Wang, Guoqing & Huang, Song & Ma, Jiamin, 2021. "Comparison of two canopy resistance models to estimate evapotranspiration for tea and wheat in southeast China," Agricultural Water Management, Elsevier, vol. 245(C).
    10. Liu, Hao & Li, Huanhuan & Ning, Huifeng & Zhang, Xiaoxian & Li, Shuang & Pang, Jie & Wang, Guangshuai & Sun, Jingsheng, 2019. "Optimizing irrigation frequency and amount to balance yield, fruit quality and water use efficiency of greenhouse tomato," Agricultural Water Management, Elsevier, vol. 226(C).

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