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Field and Modeling Study on Manual and Automatic Irrigation Scheduling under Deficit Irrigation of Greenhouse Cucumber

Author

Listed:
  • Abdelraouf R. E.

    (Water Relations and Field Irrigation Department, Agricultural and Biological Division, National Research Centre, 33 EL Bohouth St., Dokki, Giza 12622, Egypt)

  • H. G. Ghanem

    (Faculty of Agricultural Engineering, Al-Azhar University, Cairo 11884, Egypt)

  • Najat A. Bukhari

    (Department of Botany & Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia)

  • Mohamed El-Zaidy

    (Department of Botany & Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia)

Abstract

The primary goal of all those working in the field of sustainable water management, particularly in the arid and semi-arid zones, is to increase irrigation efficiency, reduce irrigation water losses, and improve water productivity for all crops. This study assessed the automatic irrigation scheduling and irrigation management on the growth, yield, and water productivity of cucumber under greenhouse conditions. A field experiment was conducted using cucumber grown in aplastic greenhouse during the winter of 2017/18 and 2018/19 at the research farm station of the National Research Centre (NRC), El-Noubaria Region, Behaira Governorate, Egypt. In a split-plot experiment, two different methods to control irrigation scheduling (manual control (MC) and automatic control (AC)) were used in the main plots and three deficit irrigation treatments (100% of full irrigation (FI), 80% of FI, and 60% of FI). Through the obtained results, it was found that the use of the automatic control of the irrigation schedule led to an improvement in the productivity and quality characteristics of the cucumber crop. Automatic irrigation control created healthy conditions for the plant roots located under the least water stress. This led to an increase in nitrogen uptake at the ages of 3, 5, 7, and 9 weeks after planting in addition to improving the total leaf area and the chlorophyll content of leaves, which consequently had a greater effect on increasing yield and water productivity of cucumber. Although the highest values of cucumber productivity were obtained with irrigation at 100% of FI, there were no significant differences between 100% FI and 80% of FI, therefore it is preferable to irrigate at 80% of FI, and this means saving 20% of irrigation water that can be used to irrigate other areas. The SALTMED model simulating all of the following evaluation criteria performed well for soil moisture content and N-uptake as well as the leaves area, the yield, and water productivity of cucumber for all treatments for the two growing seasons 2017/18 and 2018/19, with the overall R 2 of 0.882, 0.903, 0.975, 0.907, and 0.933, respectively.

Suggested Citation

  • Abdelraouf R. E. & H. G. Ghanem & Najat A. Bukhari & Mohamed El-Zaidy, 2020. "Field and Modeling Study on Manual and Automatic Irrigation Scheduling under Deficit Irrigation of Greenhouse Cucumber," Sustainability, MDPI, vol. 12(23), pages 1-20, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:23:p:9819-:d:450302
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    References listed on IDEAS

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    1. Li, Jiusheng & Kawano, Hiroshi, 1996. "The areal distribution of soil moisture under sprinkler irrigation," Agricultural Water Management, Elsevier, vol. 32(1), pages 29-36, November.
    2. van der Kooij, Saskia & Zwarteveen, Margreet & Boesveld, Harm & Kuper, Marcel, 2013. "The efficiency of drip irrigation unpacked," Agricultural Water Management, Elsevier, vol. 123(C), pages 103-110.
    3. Ertek, Ahmet & Sensoy, Suat & Gedik, Ibrahim & Kucukyumuk, Cenk, 2006. "Irrigation scheduling based on pan evaporation values for cucumber (Cucumis sativus L.) grown under field conditions," Agricultural Water Management, Elsevier, vol. 81(1-2), pages 159-172, March.
    4. Ragab, R. & Malash, N. & Abdel Gawad, G. & Arslan, A. & Ghaibeh, A., 2005. "A holistic generic integrated approach for irrigation, crop and field management: 1. The SALTMED model and its calibration using field data from Egypt and Syria," Agricultural Water Management, Elsevier, vol. 78(1-2), pages 67-88, September.
    5. Luquet, Delphine & Vidal, Alain & Smith, Martin & Dauzat, Jean, 2005. "`More crop per drop': how to make it acceptable for farmers?," Agricultural Water Management, Elsevier, vol. 76(2), pages 108-119, August.
    6. Pereira, Luis Santos & Oweis, Theib & Zairi, Abdelaziz, 2002. "Irrigation management under water scarcity," Agricultural Water Management, Elsevier, vol. 57(3), pages 175-206, December.
    7. Lankford, Bruce, 2012. "Fictions, fractions, factorials and fractures; on the framing of irrigation efficiency," Agricultural Water Management, Elsevier, vol. 108(C), pages 27-38.
    8. Ragab, R. & Malash, N. & Gawad, G. Abdel & Arslan, A. & Ghaibeh, A., 2005. "A holistic generic integrated approach for irrigation, crop and field management: 2. The SALTMED model validation using field data of five growing seasons from Egypt and Syria," Agricultural Water Management, Elsevier, vol. 78(1-2), pages 89-107, September.
    9. Simsek, Mehmet & Tonkaz, Tahsin & Kacira, Murat & Comlekcioglu, Nuray & Dogan, Zeki, 2005. "The effects of different irrigation regimes on cucumber (Cucumbis sativus L.) yield and yield characteristics under open field conditions," Agricultural Water Management, Elsevier, vol. 73(3), pages 173-191, May.
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