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Modeling deficit irrigation-based evapotranspiration optimizes wheat yield and water productivity in arid regions

Author

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  • Kheir, Ahmed M.S.
  • Alrajhi, Abdullah A.
  • Ghoneim, Adel M.
  • Ali, Esmat F.
  • Magrashi, Ali
  • Zoghdan, Medhat G.
  • Abdelkhalik, Sedhom A.M.
  • Fahmy, Ahmed E.
  • Elnashar, Abdelrazek

Abstract

Climate change and water scarcity have put food security and sustainable development in arid regions at risk. Irrigation based actual evapotranspiration (ETc) has recently been added as a new tool in the Decision Support System for Agrotechnology Transfer (DSSAT) models and might improve irrigation water management, thus more research is needed. For this purpose, three Wheat models (CERES, CROPSIM and N-Wheat) in the latest version of DSSAT (v. 4.7.5) were calibrated and evaluated using experimental field data across three growing seasons. Field data included irrigation by different fractions of ETc as 80%, 100% and 120%. The calibrated models were then employed to predict wheat grain yield (GY), biomass yield (BY), irrigation, evapotranspiration, water use efficiency-based evapotranspiration (WUE_ET), and water use efficiency-based irrigation (WUE_Irri) for 10 locations represent Nile delta in long term simulation (1991–2020). The models showed robust simulations of ETc compared to observed values under all corresponding treatments, demonstrating high calibration accuracy and the ability to predict yield and water for other locations in the long term. Simulation treatments included automatic irrigation with different fractions of 50%, 60%, 70%, 80%, 90% and 100% from ETc. Hereinafter, the simulated GY and WUE_ET were compared with those obtained by farmers in all locations to specify the recommended treatment achieving higher yield and water productivity. In all locations, simulated GY and BY ranged (4000–9000 kg ha-1), and (10,500–18,000 kg ha-1), respectively with associated uncertainty between treatments and locations. Averaged over ten locations, and 30 years, the simulated GY under full irrigation treatment (100% ETc), showed the superiority with an increase of 27.5%, 13.0%, 5.0%, 1.5%, and 0.4% relative to irrigation with 50%, 60%, 70%, 80%, and 90% ETc, respectively. Deficit irrigation-based ET decreased WUE_Irri, whilst increased WUE_ET, achieving the higher value (20.0 kg ha-1 mm-1) with irrigation based 90% ETc. However, deficit irrigation with 90% ETc (I5) produced higher WUE values than full irrigation (100% ETc), with increases of 0.08% and 10.6% for WUE_ET and WUE_irri, respectively. Comparing simulated GY and WUE_ET with farmers values in all locations, simulated values under irrigation based 90% ETc increased by 1.7% and 63%, respectively, confirming the importance of irrigation scheduling based 90% ETc in maximizing wheat yield and water productivity in arid regions.

Suggested Citation

  • Kheir, Ahmed M.S. & Alrajhi, Abdullah A. & Ghoneim, Adel M. & Ali, Esmat F. & Magrashi, Ali & Zoghdan, Medhat G. & Abdelkhalik, Sedhom A.M. & Fahmy, Ahmed E. & Elnashar, Abdelrazek, 2021. "Modeling deficit irrigation-based evapotranspiration optimizes wheat yield and water productivity in arid regions," Agricultural Water Management, Elsevier, vol. 256(C).
    • Handle: RePEc:eee:agiwat:v:256:y:2021:i:c:s037837742100398x
    DOI: 10.1016/j.agwat.2021.107122
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    2. Alina Petronela Alexoaei & Valentin Cojanu & Cristiana-Ioana Coman, 2021. "On Sustainable Consumption: The Implications of Trade in Virtual Water for the EU’s Food Security," Sustainability, MDPI, vol. 13(21), pages 1-19, October.
    3. Xiaoli Shi & Wenjiao Shi & Na Dai & Minglei Wang, 2022. "Optimal Irrigation under the Constraint of Water Resources for Winter Wheat in the North China Plain," Agriculture, MDPI, vol. 12(12), pages 1-15, November.
    4. Zeng, Ruiyun & Lin, Xiaomao & Welch, Stephen M. & Yang, Shanshan & Huang, Na & Sassenrath, Gretchen F. & Yao, Fengmei, 2023. "Impact of water deficit and irrigation management on winter wheat yield in China," Agricultural Water Management, Elsevier, vol. 287(C).
    5. Muhammet Azlak & Levent Şaylan, 2024. "Analysing the impact of climate change on evapotranspiration in a climate-sensitive region: Example of Central Anatolia (Türkiye)," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 19(1), pages 64-76.
    6. Cao, Xinchun & Li, Yueyao & Wu, Mengyang, 2022. "Irrigation water use and efficiency assessment coupling crop cultivation, commutation and consumption processes," Agricultural Water Management, Elsevier, vol. 261(C).
    7. Yingnan Wei & Han Ru & Xiaolan Leng & Zhijian He & Olusola O. Ayantobo & Tehseen Javed & Ning Yao, 2022. "Better Performance of the Modified CERES-Wheat Model in Simulating Evapotranspiration and Wheat Growth under Water Stress Conditions," Agriculture, MDPI, vol. 12(11), pages 1-15, November.
    8. Ishaque, Wajid & Osman, Raheel & Hafiza, Barira Shoukat & Malghani, Saadatullah & Zhao, Ben & Xu, Ming & Ata-Ul-Karim, Syed Tahir, 2023. "Quantifying the impacts of climate change on wheat phenology, yield, and evapotranspiration under irrigated and rainfed conditions," Agricultural Water Management, Elsevier, vol. 275(C).
    9. Aster Tesfaye Hordofa & Olkeba Tolessa Leta & Tena Alamirew & Abebe Demissie Chukalla, 2022. "Response of Winter Wheat Production to Climate Change in Ziway Lake Basin," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    10. Kamran, Muhammad & Yan, Zhengang & Chang, Shenghua & Ning, Jiao & Lou, Shanning & Ahmad, Irshad & Ghani, Muhammad Usman & Arif, Muhammad & El Sabagh, Ayman & Hou, Fujiang, 2023. "Interactive effects of reduced irrigation and nitrogen fertilization on resource use efficiency, forage nutritive quality, yield, and economic benefits of spring wheat in the arid region of Northwest ," Agricultural Water Management, Elsevier, vol. 275(C).

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