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Evaluation of AquaCrop model for greenhouse cherry tomato with plastic film mulch under various water and nitrogen supplies

Author

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  • Cheng, Minghui
  • Wang, Haidong
  • Fan, Junliang
  • Xiang, Youzhen
  • Liu, Xiaoqiang
  • Liao, Zhenqi
  • Abdelghany, Ahmed Elsayed
  • Zhang, Fucang
  • Li, Zhijun

Abstract

Assessing and optimizing crop management strategies, e.g. irrigation and nitrogen (N) fertilization, is critical for the sustainable production of crops. Currently, crop simulation models combined with experimental data have been proved to be effective tools. Herein, the FAO AquaCrop model was calibrated and validated based on field-measured data during two consecutive growing seasons (2020 and 2021) for predicting canopy cover (CC, %), aboveground biomass and soil water content (SWC, mm) on a daily scale, and for simulating final fruit yield, evapotranspiration (ET, mm) and water productivity (WP, kg m−3) on a seasonal scale under plastic film mulch condition. The two-year experiment included three irrigation levels (60 %, 80 % and 100 % ET0, where ET0 is the reference evapotranspiration) and five N fertilizer rates (0, 180, 270, 360 and 450 kg N ha−1). In general, the AquaCrop model adequately simulated the dynamic changes of cherry tomato CC, aboveground biomass and final fruit yield. Nonetheless, the model severely overestimated SWC especially under full irrigation in the two-year experiment, and the simulation accuracy gradually increased with the increase of N rate. For ET, it was largely underestimated. With the decrease in irrigation level and N rate, the simulation accuracy improved and the impact of water stress was stronger than that of nitrogen stress. The simulation accuracy of WP decreased as irrigation level and N rate increased. The optimal integrated regime was deficit irrigation of 80 % ET0 combined with N rate of 360 kg ha−1 (I80N360), which obtained 98.24 % of potential yield while significantly decreasing water input. The simulation of the mulched module and parameters of the AquaCrop model (crop transpiration, water productivity, etc.) should be further optimized and verified. If these improvements can be made, the AquaCrop model can be used in the decision-making of irrigation and N fertilization strategies of cherry tomato under plastic film mulch condition.

Suggested Citation

  • Cheng, Minghui & Wang, Haidong & Fan, Junliang & Xiang, Youzhen & Liu, Xiaoqiang & Liao, Zhenqi & Abdelghany, Ahmed Elsayed & Zhang, Fucang & Li, Zhijun, 2022. "Evaluation of AquaCrop model for greenhouse cherry tomato with plastic film mulch under various water and nitrogen supplies," Agricultural Water Management, Elsevier, vol. 274(C).
  • Handle: RePEc:eee:agiwat:v:274:y:2022:i:c:s0378377422004966
    DOI: 10.1016/j.agwat.2022.107949
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    1. Li, Huanhuan & Liu, Hao & Gong, Xuewen & Li, Shuang & Pang, Jie & Chen, Zhifang & Sun, Jingsheng, 2021. "Optimizing irrigation and nitrogen management strategy to trade off yield, crop water productivity, nitrogen use efficiency and fruit quality of greenhouse grown tomato," Agricultural Water Management, Elsevier, vol. 245(C).
    2. Shrestha, Nirman & Raes, Dirk & Vanuytrecht, Eline & Sah, Shrawan Kumar, 2013. "Cereal yield stabilization in Terai (Nepal) by water and soil fertility management modeling," Agricultural Water Management, Elsevier, vol. 122(C), pages 53-62.
    3. Nyakudya, Innocent Wadzanayi & Stroosnijder, Leo, 2014. "Effect of rooting depth, plant density and planting date on maize (Zea mays L.) yield and water use efficiency in semi-arid Zimbabwe: Modelling with AquaCrop," Agricultural Water Management, Elsevier, vol. 146(C), pages 280-296.
    4. Wu, Wanping & Liu, Minguo & Wu, Xiaojuan & Wang, Zikui & Yang, Huimin, 2022. "Effects of deficit irrigation on nitrogen uptake and soil mineral nitrogen in alfalfa grasslands of the inland arid area of China," Agricultural Water Management, Elsevier, vol. 269(C).
    5. Sandhu, Rupinder & Irmak, Suat, 2019. "Performance of AquaCrop model in simulating maize growth, yield, and evapotranspiration under rainfed, limited and full irrigation," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    6. Abedinpour, M. & Sarangi, A. & Rajput, T.B.S. & Singh, Man & Pathak, H. & Ahmad, T., 2012. "Performance evaluation of AquaCrop model for maize crop in a semi-arid environment," Agricultural Water Management, Elsevier, vol. 110(C), pages 55-66.
    7. Sandhu, Rupinder & Irmak, Suat, 2019. "Assessment of AquaCrop model in simulating maize canopy cover, soil-water, evapotranspiration, yield, and water productivity for different planting dates and densities under irrigated and rainfed cond," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    8. Wellens, Joost & Raes, Dirk & Fereres, Elias & Diels, Jan & Coppye, Cecilia & Adiele, Joy Geraldine & Ezui, Kodjovi Senam Guillaume & Becerra, Luis-Augusto & Selvaraj, Michael Gomez & Dercon, Gerd & H, 2022. "Calibration and validation of the FAO AquaCrop water productivity model for cassava (Manihot esculenta Crantz)," Agricultural Water Management, Elsevier, vol. 263(C).
    9. Tan, Shuai & Wang, Quanjiu & Zhang, Jihong & Chen, Yong & Shan, Yuyang & Xu, Di, 2018. "Performance of AquaCrop model for cotton growth simulation under film-mulched drip irrigation in southern Xinjiang, China," Agricultural Water Management, Elsevier, vol. 196(C), pages 99-113.
    10. de Wit, Allard & Boogaard, Hendrik & Fumagalli, Davide & Janssen, Sander & Knapen, Rob & van Kraalingen, Daniel & Supit, Iwan & van der Wijngaart, Raymond & van Diepen, Kees, 2019. "25 years of the WOFOST cropping systems model," Agricultural Systems, Elsevier, vol. 168(C), pages 154-167.
    11. Ran, Hui & Kang, Shaozhong & Li, Fusheng & Tong, Ling & Ding, Risheng & Du, Taisheng & Li, Sien & Zhang, Xiaotao, 2017. "Performance of AquaCrop and SIMDualKc models in evapotranspiration partitioning on full and deficit irrigated maize for seed production under plastic film-mulch in an arid region of China," Agricultural Systems, Elsevier, vol. 151(C), pages 20-32.
    12. Feng, Dingrui & Li, Guangyong & Wang, Dan & Wulazibieke, Mierguli & Cai, Mingkun & Kang, Jing & Yuan, Zicheng & Xu, Houcheng, 2022. "Evaluation of AquaCrop model performance under mulched drip irrigation for maize in Northeast China," Agricultural Water Management, Elsevier, vol. 261(C).
    13. Abi Saab, Marie Therese & Todorovic, Mladen & Albrizio, Rossella, 2015. "Comparing AquaCrop and CropSyst models in simulating barley growth and yield under different water and nitrogen regimes. Does calibration year influence the performance of crop growth models?," Agricultural Water Management, Elsevier, vol. 147(C), pages 21-33.
    14. Montoya, F. & Camargo, D. & Ortega, J.F. & Córcoles, J.I. & Domínguez, A., 2016. "Evaluation of Aquacrop model for a potato crop under different irrigation conditions," Agricultural Water Management, Elsevier, vol. 164(P2), pages 267-280.
    15. Ran, Hui & Kang, Shaozhong & Li, Fusheng & Du, Taisheng & Tong, Ling & Li, Sien & Ding, Risheng & Zhang, Xiaotao, 2018. "Parameterization of the AquaCrop model for full and deficit irrigated maize for seed production in arid Northwest China," Agricultural Water Management, Elsevier, vol. 203(C), pages 438-450.
    16. Wu, You & Yan, Shicheng & Fan, Junliang & Zhang, Fucang & Zhao, Wenju & Zheng, Jing & Guo, Jinjin & Xiang, Youzhen & Wu, Lifeng, 2022. "Combined effects of irrigation level and fertilization practice on yield, economic benefit and water-nitrogen use efficiency of drip-irrigated greenhouse tomato," Agricultural Water Management, Elsevier, vol. 262(C).
    17. Li, Jiang & Song, Jian & Li, Mo & Shang, Songhao & Mao, Xiaomin & Yang, Jian & Adeloye, Adebayo J., 2018. "Optimization of irrigation scheduling for spring wheat based on simulation-optimization model under uncertainty," Agricultural Water Management, Elsevier, vol. 208(C), pages 245-260.
    18. Cammarano, D. & Ronga, D. & Di Mola, I. & Mori, M. & Parisi, M., 2020. "Impact of climate change on water and nitrogen use efficiencies of processing tomato cultivated in Italy," Agricultural Water Management, Elsevier, vol. 241(C).
    19. Tsakmakis, I.D. & Kokkos, N.P. & Gikas, G.D. & Pisinaras, V. & Hatzigiannakis, E. & Arampatzis, G. & Sylaios, G.K., 2019. "Evaluation of AquaCrop model simulations of cotton growth under deficit irrigation with an emphasis on root growth and water extraction patterns," Agricultural Water Management, Elsevier, vol. 213(C), pages 419-432.
    20. Katerji, Nader & Campi, Pasquale & Mastrorilli, Marcello, 2013. "Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region," Agricultural Water Management, Elsevier, vol. 130(C), pages 14-26.
    21. Wu, Hui & Yue, Qiong & Guo, Ping & Xu, Xiaoyu & Huang, Xi, 2022. "Improving the AquaCrop model to achieve direct simulation of evapotranspiration under nitrogen stress and joint simulation-optimization of irrigation and fertilizer schedules," Agricultural Water Management, Elsevier, vol. 266(C).
    22. Seyed Ahmadi & Elnaz Mosallaeepour & Ali Kamgar-Haghighi & Ali Sepaskhah, 2015. "Modeling Maize Yield and Soil Water Content with AquaCrop Under Full and Deficit Irrigation Managements," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2837-2853, June.
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