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Estimating Evapotranspiration of Greenhouse Tomato under Different Irrigation Levels Using a Modified Dual Crop Coefficient Model in Northeast China

Author

Listed:
  • Mingze Yao

    (College of Land and Environment, Shenyang Agricultural University, Shenyang 110866, China)

  • Manman Gao

    (College of Water Conservancy, Shenyang Agricultural University, Shenyang 110866, China)

  • Jingkuan Wang

    (College of Land and Environment, Shenyang Agricultural University, Shenyang 110866, China)

  • Bo Li

    (College of Water Conservancy, Shenyang Agricultural University, Shenyang 110866, China)

  • Lizhen Mao

    (Department of Foreign Languages Teaching, Shenyang Agricultural University, Shenyang 110866, China)

  • Mingyu Zhao

    (College of Energy and Water Resources, Shenyang Institute of Technology, Fushun 113122, China)

  • Zhanyang Xu

    (College of Water Conservancy, Shenyang Agricultural University, Shenyang 110866, China)

  • Hongfei Niu

    (College of Hydraulic Engineering, Liaoning Vocational College of Ecological Engineering, Shenyang 110122, China)

  • Tieliang Wang

    (College of Water Conservancy, Shenyang Agricultural University, Shenyang 110866, China)

  • Lei Sun

    (College of Water Conservancy, Shenyang Agricultural University, Shenyang 110866, China)

  • Dongshuang Niu

    (College of Water Conservancy, Shenyang Agricultural University, Shenyang 110866, China)

Abstract

Accurate quantification of evapotranspiration (ET c ) and its components are critical for enhancing water use efficiency and implementing precision irrigation. A two-year experiment was conducted for greenhouse-grown tomatoes under mulched drip irrigation with three irrigation treatments during 2020–2021 in Northeast China. Three different irrigation treatments were applied by setting upper and lower soil moisture irrigation thresholds (i.e., W1, 65%θ FC –75%θ FC , W2, 75%θ FC –85%θ FC , W3, 85%θFC–95%θ FC , respectively, where θ FC is field capacity). In this study, a modified dual crop coefficient ( K c ) model was proposed to simulate daily ET c , plant transpiration (T r ) and soil evaporation (E s ). The simulations of the model were validated against observed data from the sap flow system combined with the soil water balance method. The controlling factors on the variations of evapotranspiration and its components were also identified by using the path analysis method. Results showed that the modified dual K c model can accurately simulate daily ET c , E s , and T r for the greenhouse tomato under different irrigation conditions, with the coefficients of determination ranging from 0.88 to 0.98 and the index of agreement higher than 0.90. The seasonal cumulative ET c of tomato for W1–W3 were 138.5–194.4 mm, of which 9.5–15.8% was consumed by E s . Path analysis showed that the net radiation ( R n ) was the dominant factor controlling the variations of T r and ET c during the growing seasons. The canopy coverage degree ( K cc ) was the dominant controlling factor of E s , while the temperature ( T a ) was the primary limiting factor affecting E s . This study can provide reference information for developing proper irrigation management in a greenhouse-grown tomato in the north cold climate regions.

Suggested Citation

  • Mingze Yao & Manman Gao & Jingkuan Wang & Bo Li & Lizhen Mao & Mingyu Zhao & Zhanyang Xu & Hongfei Niu & Tieliang Wang & Lei Sun & Dongshuang Niu, 2023. "Estimating Evapotranspiration of Greenhouse Tomato under Different Irrigation Levels Using a Modified Dual Crop Coefficient Model in Northeast China," Agriculture, MDPI, vol. 13(9), pages 1-19, September.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:9:p:1741-:d:1231388
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    References listed on IDEAS

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    1. Jiang, Xuelian & Kang, Shaozhong & Tong, Ling & Li, Sien & Ding, Risheng & Du, Taisheng, 2019. "Modeling evapotranspiration and its components of maize for seed production in an arid region of northwest China using a dual crop coefficient and multisource models," Agricultural Water Management, Elsevier, vol. 222(C), pages 105-117.
    2. Zhao, Peng & Kang, Shaozhong & Li, Sien & Ding, Risheng & Tong, Ling & Du, Taisheng, 2018. "Seasonal variations in vineyard ET partitioning and dual crop coefficients correlate with canopy development and surface soil moisture," Agricultural Water Management, Elsevier, vol. 197(C), pages 19-33.
    3. Zhao, Peng & Li, Sien & Li, Fusheng & Du, Taisheng & Tong, Ling & Kang, Shaozhong, 2015. "Comparison of dual crop coefficient method and Shuttleworth–Wallace model in evapotranspiration partitioning in a vineyard of northwest China," Agricultural Water Management, Elsevier, vol. 160(C), pages 41-56.
    4. 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).
    5. Ding, Risheng & Kang, Shaozhong & Zhang, Yanqun & Hao, Xinmei & Tong, Ling & Du, Taisheng, 2013. "Partitioning evapotranspiration into soil evaporation and transpiration using a modified dual crop coefficient model in irrigated maize field with ground-mulching," Agricultural Water Management, Elsevier, vol. 127(C), pages 85-96.
    6. Jiao, Linjie & Ding, Risheng & Kang, Shaozhong & Du, Taisheng & Tong, Ling & Li, Sien, 2018. "A comparison of energy partitioning and evapotranspiration over closed maize and sparse grapevine canopies in northwest China," Agricultural Water Management, Elsevier, vol. 203(C), pages 251-260.
    7. Gong, Xuewen & Qiu, Rangjian & Ge, Jiankun & Bo, Guokui & Ping, Yinglu & Xin, Qingsong & Wang, Shunsheng, 2021. "Evapotranspiration partitioning of greenhouse grown tomato using a modified Priestley–Taylor model," Agricultural Water Management, Elsevier, vol. 247(C).
    8. Contreras, J.I. & Alonso, F. & Cánovas, G. & Baeza, R., 2017. "Irrigation management of greenhouse zucchini with different soil matric potential level. Agronomic and environmental effects," Agricultural Water Management, Elsevier, vol. 183(C), pages 26-34.
    9. Libardi, Luís Guilherme Polizel & de Faria, Rogério Teixeira & Dalri, Alexandre Barcellos & de Souza Rolim, Glauco & Palaretti, Luiz Fabiano & Coelho, Anderson Prates & Martins, Izabela Paiva, 2019. "Evapotranspiration and crop coefficient (Kc) of pre-sprouted sugarcane plantlets for greenhouse irrigation management," Agricultural Water Management, Elsevier, vol. 212(C), pages 306-316.
    10. Pereira, L.S. & Paredes, P. & Jovanovic, N., 2020. "Soil water balance models for determining crop water and irrigation requirements and irrigation scheduling focusing on the FAO56 method and the dual Kc approach," Agricultural Water Management, Elsevier, vol. 241(C).
    11. Hunsaker, D.J. & Bronson, K.F., 2021. "FAO56 crop and water stress coefficients for cotton using subsurface drip irrigation in an arid US climate," Agricultural Water Management, Elsevier, vol. 252(C).
    12. Mukherjee, A. & Kundu, M. & Sarkar, S., 2010. "Role of irrigation and mulch on yield, evapotranspiration rate and water use pattern of tomato (Lycopersicon esculentum L.)," Agricultural Water Management, Elsevier, vol. 98(1), pages 182-189, December.
    13. Yang, Pengju & Hu, Hongchang & Tian, Fuqiang & Zhang, Zhi & Dai, Chao, 2016. "Crop coefficient for cotton under plastic mulch and drip irrigation based on eddy covariance observation in an arid area of northwestern China," Agricultural Water Management, Elsevier, vol. 171(C), pages 21-30.
    14. Amayreh, Jumah & Al-Abed, Nassim, 2005. "Developing crop coefficients for field-grown tomato (Lycopersicon esculentum Mill.) under drip irrigation with black plastic mulch," Agricultural Water Management, Elsevier, vol. 73(3), pages 247-254, May.
    15. 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.
    16. Gong, Xuewen & Liu, Hao & Sun, Jingsheng & Gao, Yang & Zhang, Hao, 2019. "Comparison of Shuttleworth-Wallace model and dual crop coefficient method for estimating evapotranspiration of tomato cultivated in a solar greenhouse," Agricultural Water Management, Elsevier, vol. 217(C), pages 141-153.
    17. Pereira, L.S. & Paredes, P. & López-Urrea, R. & Hunsaker, D.J. & Mota, M. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for vegetable crops, an update of FAO56 crop water requirements approach," Agricultural Water Management, Elsevier, vol. 243(C).
    18. Allen, Richard G. & Pruitt, William O. & Wright, James L. & Howell, Terry A. & Ventura, Francesca & Snyder, Richard & Itenfisu, Daniel & Steduto, Pasquale & Berengena, Joaquin & Yrisarry, Javier Basel, 2006. "A recommendation on standardized surface resistance for hourly calculation of reference ETo by the FAO56 Penman-Monteith method," Agricultural Water Management, Elsevier, vol. 81(1-2), pages 1-22, March.
    19. Zheng, Jing & Fan, Junliang & Zhang, Fucang & Zhuang, Qianlai, 2021. "Evapotranspiration partitioning and water productivity of rainfed maize under contrasting mulching conditions in Northwest China," Agricultural Water Management, Elsevier, vol. 243(C).
    20. Wang, Yunfei & Zou, Yufeng & Cai, Huanjie & Zeng, Yijian & He, Jianqiang & Yu, Lianyu & Zhang, Chao & Saddique, Qaisar & Peng, Xiongbiao & Siddique, Kadambot H.M. & Yu, Qiang & Su, Zhongbo, 2022. "Seasonal variation and controlling factors of evapotranspiration over dry semi-humid cropland in Guanzhong Plain, China," Agricultural Water Management, Elsevier, vol. 259(C).
    21. Qiu, Rangjian & Li, Longan & Liu, Chunwei & Wang, Zhenchang & Zhang, Baozhong & Liu, Zhandong, 2022. "Evapotranspiration estimation using a modified crop coefficient model in a rotated rice-winter wheat system," Agricultural Water Management, Elsevier, vol. 264(C).
    22. Qiu, Rangjian & Liu, Chunwei & Cui, Ningbo & Wu, Youjie & Wang, Zhenchang & Li, Gen, 2019. "Evapotranspiration estimation using a modified Priestley-Taylor model in a rice-wheat rotation system," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
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