IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i9p1741-d1231388.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/9/1741/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/13/9/1741/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    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. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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).
    12. 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.
    13. 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).
    14. 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.
    15. 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).
    16. 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).
    17. 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).
    18. 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.
    19. 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.
    20. 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).
    21. 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.
    22. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Qiu, Rangjian & Luo, Yufeng & Wu, Jingwei & Zhang, Baozhong & Liu, Zhihe & Agathokleous, Evgenios & Yang, Xiumei & Hu, Wei & Clothier, Brent, 2023. "Short–term forecasting of daily evapotranspiration from rice using a modified Priestley–Taylor model and public weather forecasts," Agricultural Water Management, Elsevier, vol. 277(C).
    3. 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.
    4. 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).
    5. Kang, Jian & Hao, Xinmei & Zhou, Huiping & Ding, Risheng, 2021. "An integrated strategy for improving water use efficiency by understanding physiological mechanisms of crops responding to water deficit: Present and prospect," Agricultural Water Management, Elsevier, vol. 255(C).
    6. Pereira, L.S. & Paredes, P. & Melton, F. & Johnson, L. & Mota, M. & Wang, T., 2021. "Prediction of crop coefficients from fraction of ground cover and height: Practical application to vegetable, field and fruit crops with focus on parameterization," Agricultural Water Management, Elsevier, vol. 252(C).
    7. 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).
    8. Qin, Shujing & Li, Sien & Cheng, Lei & Zhang, Lu & Qiu, Rangjian & Liu, Pan & Xi, Haiyang, 2023. "Partitioning evapotranspiration in partially mulched interplanted croplands by improving the Shuttleworth-Wallace model," Agricultural Water Management, Elsevier, vol. 276(C).
    9. 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).
    10. Pereira, L.S. & Paredes, P. & Hunsaker, D.J. & López-Urrea, R. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for field crops. Updates and advances to the FAO56 crop water requirements method," Agricultural Water Management, Elsevier, vol. 243(C).
    11. Shao, Guomin & Han, Wenting & Zhang, Huihui & Zhang, Liyuan & Wang, Yi & Zhang, Yu, 2023. "Prediction of maize crop coefficient from UAV multisensor remote sensing using machine learning methods," Agricultural Water Management, Elsevier, vol. 276(C).
    12. Gong, Xuewen & Li, Xiaoming & Qiu, Rangjian & Bo, Guokui & Ping, Yinglu & Xin, Qingsong & Ge, Jiankun, 2022. "Ventilation and irrigation management strategy for tomato cultivated in greenhouses," Agricultural Water Management, Elsevier, vol. 273(C).
    13. Cui, Ningbo & He, Ziling & Jiang, Shouzheng & Wang, Mingjun & Yu, Xiuyun & Zhao, Lu & Qiu, Rangjian & Gong, Daozhi & Wang, Yaosheng & Feng, Yu, 2023. "Inter-comparison of the Penman-Monteith type model in modeling the evapotranspiration and its components in an orchard plantation of Southwest China," Agricultural Water Management, Elsevier, vol. 289(C).
    14. Chen, Ning & Li, Xianyue & Shi, Haibin & Hu, Qi & Zhang, Yuehong & Hou, Chenli & Liu, Yahui, 2022. "Modeling evapotranspiration and evaporation in corn/tomato intercropping ecosystem using a modified ERIN model considering plastic film mulching," Agricultural Water Management, Elsevier, vol. 260(C).
    15. 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.
    16. Liebhard, Gunther & Klik, Andreas & Neugschwandtner, Reinhard W. & Nolz, Reinhard, 2022. "Effects of tillage systems on soil water distribution, crop development, and evaporation and transpiration rates of soybean," Agricultural Water Management, Elsevier, vol. 269(C).
    17. Zhao, Yin & Mao, Xiaomin & Shukla, Manoj K. & Tian, Fei & Hou, Mengjie & Zhang, Tong & Li, Sien, 2021. "How does film mulching modify available energy, evapotranspiration, and crop coefficient during the seed–maize growing season in northwest China?," Agricultural Water Management, Elsevier, vol. 245(C).
    18. Pereira, L.S. & Paredes, P. & Melton, F. & Johnson, L. & Wang, T. & López-Urrea, R. & Cancela, J.J. & Allen, R.G., 2020. "Prediction of crop coefficients from fraction of ground cover and height. Background and validation using ground and remote sensing data," Agricultural Water Management, Elsevier, vol. 241(C).
    19. 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).
    20. Feng, Yu & Gong, Daozhi & Mei, Xurong & Hao, Weiping & Tang, Dahua & Cui, Ningbo, 2017. "Energy balance and partitioning in partial plastic mulched and non-mulched maize fields on the Loess Plateau of China," Agricultural Water Management, Elsevier, vol. 191(C), pages 193-206.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:13:y:2023:i:9:p:1741-:d:1231388. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.