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Optimization of Irrigation Depth Considering Weather Forecast and Water Use Efficiency in Potato Cultivation

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Abstract

In areas with restriction of water resource access for agricultural activities, one of the most challenging issues is determining irrigation depth in such a way that gets high efficiency. A field experiment was conducted to evaluate three different irrigation scenarios; in which irrigation depth was determined by WASH_1D/2D model and FAO method; as well as rainfed (no irrigation) treatment, in the fine textured soil under potato cultivation. The results showed that simulating method could optimize water use with considering weather forecast data as 6 irrigation events and 12.6 mm depth, compared to 10 irrigation events and 37.3 mm depth for FAO method. A significant difference was observed among gained yield under irrigated and rainfed plots that implied irrigation importance even in rainy season. The applied water efficiency values for simulated and FAO methods was gained as 198 and 70 g/mm, respectively; which indicate the WASH_1D/2D model may be an appropriate choice to determine irrigation depth considering water use optimizing in regions with water supply problems.

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REFERENCES

  1. A. Alizadeh and A. Keshavarz, Water Conservation, Reuse, and Recycling: Proceedings of an Iranian-American Workshop (National Academies of Sciences, Engineering, and Medicine, The National Academies Press, Washington, DC, 2005).

  2. R. Allen, L. A. Pereira, D. Raes, and M. Smith, Crop Evapotranspiration Guidelines for Computing Crop Water Requirements, Irrigation and Drainage Paper No. 56 (FAO, Rome, 1998).

    Google Scholar 

  3. A. Anshori, T. E. Suswatiningsih, and N. A. Viandari, “Effect of supplementary irrigation on rice yield in dry land during rainy season,” IOP Conf. Ser. Earth Environ. Sci. 824 (1), 012091 (2019). https://doi.org/10.1088/1755-1315/824/1/012091

  4. D. L. Corwin and S. R.Grattan, “Are existing irrigation salinity leaching requirement guidelines overly conservative or obsolete?,” J. Irrig. Drain. Eng. 144, 02518001 (2018). https://doi.org/10.1061/(ASCE)IR.1943-4774.0001319

    Article  Google Scholar 

  5. H. M. A. El Baki, H. Fujimaki, I. Tokumoto, and T. Saito, “Determination of irrigation depths using a numerical model of crop growth and quantitative weather forecast and evaluation of its effect through a field experiment for potato,” J. Jpn. Soc. Soil Phys. 136, 15–24 (2017). https://doi.org/10.34467/jssoilphysics.136.0_15

    Article  Google Scholar 

  6. H. M. A. El Baki, H. Fujimaki, I. Tokumoto, and T. Saito, “A new scheme to optimize irrigation depth using a numerical model of crop response to irrigation and quantitative weather forecasts,” Comput. Electron. Agric. 150, 387–393 (2018). https://doi.org/10.1016/j.compag.2018.05.016

    Article  Google Scholar 

  7. H. M. A. El Baki, M. Raoof, and H Fujimaki, “Determining irrigation depths for soybean using a simulation model of water flow and plant growth and weather forecasts,” Agronomy 10, 369 (2020). https://doi.org/10.3390/agronomy10030369

    Article  CAS  Google Scholar 

  8. H. Fujimaki, H. M. Abd El Baki, S. Mohamad Mahdavi, and H. Ebrahimian, “Optimization of irrigation and leaching depths considering the cost of water using WASH_1D/2D models,” Water 12 (9), 2549 (2020). https://doi.org/10.3390/w12092549

    Article  CAS  Google Scholar 

  9. H. Fujimaki, I. Tokumoto, T. Saito, M. Inoue, M. Shibata, T. Okazaki, K. Nagaz, and F. El Mokh, “Determination of irrigation depths using a numerical model and quantitative weather forecast and comparison with an experiment,” in Practical Applications of Agricultural System Models to Optimize the Use of Limited Water, Ed. by L. R. Ahuja, L. Ma, and R. J. Lascano (ACSESS, Madison, 2014), Vol. 5, pp. 209–235. https://doi.org/10.2134/advagricsystmodel5.c9

  10. C. García-Gutiérrez, Y. Pachepsky, and M. A. Martín, “Saturated hydraulic conductivity and textural heterogeneity of soils,” Hydrol. Earth Syst. Sci. 22 (7), 3923–3932 (2018). https://doi.org/10.5194/hess-22-3923-2018

    Article  CAS  Google Scholar 

  11. R. González Perea, J. A. Andre Daccache, E. Rodríguez Díaz, C. Poyato, and W. K. Jerry, “Modelling impacts of precision irrigation on crop yield and in-field water management,” Precis. Agric. 19, 497–512 (2018). https://doi.org/10.1007/s11119-017-9535-4

  12. H. T. Hwang, S. W. Jeen, A. A. Suleiman, and K. K. Lee, “Comparison of saturated hydraulic conductivity estimated by three different methods,” Water 9, 942 (2017). https://doi.org/10.3390/w9120942

    Article  CAS  Google Scholar 

  13. IUSS Working Group WRB, World Reference Base for Soil Resources 2014, Update 2015, International Soil Classification System for Naming Soils and Creating Legends for Soil Maps, World Soil Resources Reports, No. 106 (UN Food and Agriculture Organization, Rome, 2015).

    Google Scholar 

  14. M. Khorsandi, S. Homayouni, and P. van Oel, “The edge of the petri dish for a nation: water resources carrying capacity assessment for Iran,” Sci. Total Environ. 817, 153038 (2022). https://doi.org/10.1016/j.scitotenv.2022.153038

    Article  CAS  Google Scholar 

  15. A. Kumari, A. Upadhyaya, P. Jeet, N. Al-Ansari, J. Rajput, P. K. Sundaram, K. Saurabh, V. Prakash, A. K. Singh, and R. K. Raman, “Estimation of actual evapotranspiration and crop coefficient of transplanted puddled rice using a modified non-weighing paddy lysimeter,” Agronomy 12 (11), 2850 (2022). https://doi.org/10.3390/agronomy12112850

    Article  Google Scholar 

  16. J. Letey and G. Feng, “Dynamic versus steady-state approaches to evaluate irrigation management of saline waters,” Agric. Water Manage. 91, 1–10 (2007). https://doi.org/10.1016/j.agwat.2007.02.014

    Article  Google Scholar 

  17. S. M. Mahdavi and H. Fujimaki, “Soil salinity resistance effect on evaporation,” Eurasian Soil Sci. 52, 526–534 (2019). https://doi.org/10.1134/S1064229319050089

  18. M. W. Nasir and Z. Toth, “Effect of drought stress on potato production: a review,” Agronomy 12 (3), 635 (2023). https://doi.org/10.3390/agronomy12030635

    Article  Google Scholar 

  19. T. W. Negash, G. Dirirsa Bayisa, and A. T. Tefera, “Evapotranspiration and crop coefficient of sorghum (Sorghum bicolor L.) at Melkassa farmland, semi-arid area of Ethiopia,” Air, Soil Water Res. 16, (2023). https://doi.org/10.1177/11786221231184206"10.1177/11786221231184206

  20. K. Seki, N. Toride, and M. Th. van Genuchten, “Closed-form hydraulic conductivity equations for multimodal unsaturated soil hydraulic properties,” Vadose Zone J. 21 (1), e20168 (2022). https://doi.org/10.1002/vzj2.20168

    Article  Google Scholar 

  21. T. Talsma, “Prediction of hydraulic conductivity from soil water retention data,” Soil Sci. 140, 184–188 (1985).

    Article  Google Scholar 

  22. J. P. Walker, G. R. Willgoose, and J. D. Kalma, “In situ measurement of soil moisture: a comparison of techniques,” J. Hydrol. 293 (1–4), 85–89 (2004). https://doi.org/10.1016/j.jhydrol.2004.01.008

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This work was supported by ongoing institutional funding. No additional grants to carry out or direct.

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Authors and Affiliations

  1. Rice Research Institute of Iran, 46191, Amol, Iran

    S. M. Mahdavi

  2. Arid Land Research Center, Tottori University, 680-0001, Tottori, Japan

    H. Fujimaki

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  1. S. M. Mahdavi
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  2. H. Fujimaki
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Correspondence to S. M. Mahdavi.

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Mahdavi, S.M., Fujimaki, H. Optimization of Irrigation Depth Considering Weather Forecast and Water Use Efficiency in Potato Cultivation. Eurasian Soil Sc. (2024). https://doi.org/10.1134/S1064229324700297

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