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Estimating daily kiwifruit evapotranspiration under regulated deficit irrigation strategy using optimized surface resistance based model

Author

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  • Xing, Liwen
  • Cui, Ningbo
  • Liu, Chunwei
  • Guo, Li
  • Zhao, Long
  • Wu, Zongjun
  • Jiang, Xuelian
  • Wen, Shenglin
  • Zhao, Lu
  • Gong, Daozhi

Abstract

Accurate evapotranspiration (ET) estimation is paramount for effective agricultural water management. As the key parameter of surface resistance (rs)-based ET models, the direct acquisition of canopy resistance (rc) remains challenge. Moreover, the applicability of rc models and rs-based ET models has not been fully validated on kiwifruit. To address above problems, this study investigates tree growth patterns, water consumption change, and soil water content (SWC) dynamics under different irrigation strategies based on a two-year experiment in Northwest China. Subsequently, the Whale Algorithm (WOA), Quantum Whale Algorithm (QWOA), and Differential Whale Algorithm (DWOA) were employed to optimize Jarvis-type rc models (JA) constructed by different constraint functions of SWC. After internal comparison within Jarvis-type models and external comparison with Kelliher-Perrier (KP), Faria (FA), and Stannard (ST) model, the recommended rc model was integrated into Penman-Monteith (PM), Shuttleworth-Wallace (SW), and Clumping (CL) to select most suitable kiwifruit ET model. The results indicated that the water stress coefficient is suitable for JA model as a constraint function of SWC, achieving R2, NSE, RMSE, and MAPE of 0.782–0.805, 0.672–0.737, 654.191–3396.594 s m−1, and 0.102–0.183 under sufficient irrigation strategy, respectively. Under deficit irrigation strategies, the corresponding R2, NSE, RMSE, and MAPE ranged 0.886–0.917, 0.828–0.885, 325.736–3251.434 s m−1, and 0.111–0.166, respectively. Besides, DWOA is the best algorithm during whole growth period, which improved original JA by 13.2–32.9% for R2, 23.0–60.2% for NSE, 26.8–36.8% for RMSE, and 17.5–36.2%, respectively. Regarding rs-based ET models, the CL performed best under various irrigation conditions, with values of R2, NSE, RMSE, and MAPE ranging 0.908–0.961, 0.842–0.947, 0.311–0.808 mm, and 0.088–0.197, respectively. Overall, the CL integrated with DWOA-JA3 is most recommended for estimating kiwifruit ET under different irrigation strategies, which is helpful for orchardists to enhance agricultural water utilization efficiency and promote sustainable kiwifruit production.

Suggested Citation

  • Xing, Liwen & Cui, Ningbo & Liu, Chunwei & Guo, Li & Zhao, Long & Wu, Zongjun & Jiang, Xuelian & Wen, Shenglin & Zhao, Lu & Gong, Daozhi, 2024. "Estimating daily kiwifruit evapotranspiration under regulated deficit irrigation strategy using optimized surface resistance based model," Agricultural Water Management, Elsevier, vol. 295(C).
  • Handle: RePEc:eee:agiwat:v:295:y:2024:i:c:s0378377424000805
    DOI: 10.1016/j.agwat.2024.108745
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    as
    1. 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).
    2. Li, Xiaojie & Kang, Shaozhong & Li, Fusheng & Jiang, Xuelian & Tong, Ling & Ding, Risheng & Li, Sien & Du, Taisheng, 2016. "Applying segmented Jarvis canopy resistance into Penman-Monteith model improves the accuracy of estimated evapotranspiration in maize for seed production with film-mulching in arid area," Agricultural Water Management, Elsevier, vol. 178(C), pages 314-324.
    3. Xing, Liwen & Zhao, Lu & Cui, Ningbo & Liu, Chunwei & Guo, Li & Du, Taisheng & Wu, Zongjun & Gong, Daozhi & Jiang, Shouzheng, 2023. "Apple tree transpiration estimated using the Penman-Monteith model integrated with optimized jarvis model," Agricultural Water Management, Elsevier, vol. 276(C).
    4. Girona, J. & Gelly, M. & Mata, M. & Arbones, A. & Rufat, J. & Marsal, J., 2005. "Peach tree response to single and combined deficit irrigation regimes in deep soils," Agricultural Water Management, Elsevier, vol. 72(2), pages 97-108, March.
    5. Chia, Min Yan & Huang, Yuk Feng & Koo, Chai Hoon, 2021. "Swarm-based optimization as stochastic training strategy for estimation of reference evapotranspiration using extreme learning machine," Agricultural Water Management, Elsevier, vol. 243(C).
    6. 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).
    7. Silveira, Laís Karina & Pavão, Glaucia Cristina & dos Santos Dias, Carlos Tadeu & Quaggio, José Antonio & Pires, Regina Célia de Matos, 2020. "Deficit irrigation effect on fruit yield, quality and water use efficiency: A long-term study on Pêra-IAC sweet orange," Agricultural Water Management, Elsevier, vol. 231(C).
    8. Despotovic, Milan & Nedic, Vladimir & Despotovic, Danijela & Cvetanovic, Slobodan, 2015. "Review and statistical analysis of different global solar radiation sunshine models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1869-1880.
    9. Cheng, Minghui & Wang, Haidong & Fan, Junliang & Zhang, Shaohui & Wang, Yanli & Li, Yuepeng & Sun, Xin & Yang, Ling & Zhang, Fucang, 2021. "Water productivity and seed cotton yield in response to deficit irrigation: A global meta-analysis," Agricultural Water Management, Elsevier, vol. 255(C).
    10. Xing, Liwen & Cui, Ningbo & Liu, Chunwei & Zhao, Lu & Guo, Li & Du, Taisheng & Zhan, Cun & Wu, Zongjun & Wen, Shenglin & Jiang, Shouzheng, 2022. "Estimation of daily apple tree transpiration in the Loess Plateau region of China using deep learning models," Agricultural Water Management, Elsevier, vol. 273(C).
    11. N. Dercas & A. Liakatas, 1999. "Sorghum Water Loss in Relation to Irrigation Treatment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 13(1), pages 39-57, February.
    12. 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.
    13. Minhas, P.S. & Ramos, Tiago B. & Ben-Gal, Alon & Pereira, Luis S., 2020. "Coping with salinity in irrigated agriculture: Crop evapotranspiration and water management issues," Agricultural Water Management, Elsevier, vol. 227(C).
    14. Chen, Dianyu & Hsu, Kuolin & Duan, Xingwu & Wang, Youke & Wei, Xinguang & Muhammad, Saifullah, 2020. "Bayesian analysis of jujube canopy transpiration models: Does embedding the key environmental factor in Jarvis canopy resistance sub-model always associate with improving transpiration modeling?," Agricultural Water Management, Elsevier, vol. 234(C).
    15. Kayhomayoon, Zahra & Jamnani, Mostafa Rahimi & Rashidi, Sajjad & Ghordoyee Milan, Sami & Arya Azar, Naser & Berndtsson, Ronny, 2023. "Soft computing assessment of current and future groundwater resources under CMIP6 scenarios in northwestern Iran," Agricultural Water Management, Elsevier, vol. 285(C).
    16. Li, Xianyue & Yang, Peiling & Ren, Shumei & Li, Yunkai & Liu, Honglu & Du, Jun & Li, Pingfeng & Wang, Caiyuan & Ren, Liang, 2010. "Modeling cherry orchard evapotranspiration based on an improved dual-source model," Agricultural Water Management, Elsevier, vol. 98(1), pages 12-18, December.
    17. Goodwin, Paul & Lawton, Richard, 1999. "On the asymmetry of the symmetric MAPE," International Journal of Forecasting, Elsevier, vol. 15(4), pages 405-408, October.
    18. Fu, Shuai & Sun, Lin & Luo, Yi, 2016. "Combining sap flow measurements and modelling to assess water needs in an oasis farmland shelterbelt of Populus simonii Carr in Northwest China," Agricultural Water Management, Elsevier, vol. 177(C), pages 172-180.
    19. Molina, A.J. & Aranda, X. & Carta, G. & Llorens, P. & Romero, R. & Savé, R. & Biel, C., 2016. "Effect of irrigation on sap flux density variability and water use estimate in cherry (Prunus avium) for timber production: Azimuthal profile, radial profile and sapwood estimation," Agricultural Water Management, Elsevier, vol. 164(P1), pages 118-126.
    20. He, Bohao & Jia, Biying & Zhao, Yanghe & Wang, Xu & Wei, Mao & Dietzel, Ranae, 2022. "Estimate soil moisture of maize by combining support vector machine and chaotic whale optimization algorithm," Agricultural Water Management, Elsevier, vol. 267(C).
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