Optimizing the Effects of Iirrigation Levels and Potassium on Fodder Sorghum Yield under Water Crisis Conditions in Sistan Region of IranSistan region

Document Type : Original Article

Authors

1 Assistant Professor of Agricultural Economics, Sistan Agricultural and Natural Resources Research and Training Center, Agricultural Research, Education and Extension Organization (AREEO), Zabul, Iran

2 Assistant Professor of Agriculture, Horticulture Department, Sistan Agricultural and Natural Resources Research and Training Center, Agricultural Research, Education and Extension Organization (AREEO), Zabul, Iran.

3 Assistant Professor, Department of Economics and Agricultural Development, Payame Noor University, Tehran, Iran.

4 Assistant Professor, Agricultural Planning, Economics and Rural Development Research Institute (APERDRI), Tehran, Iran.

Abstract

Introduction: Water shortage is one of the major problems of most countries in the world, especially countries with a growing population. The only solution to this crisis is the optimal use and increasing the productivity of water resources in various sectors, especially the agricultural sector. Therefore, it seems necessary to plan for optimal use of resources and economic allocation of this scarce factor among different uses.
Materials and Methods: Multi-Stage Interval Programming (MSIP) method consists of the combination of dynamic and interval programming in the framework of stochastic optimization. The dynamics of the model, the application of a predefined policy during the optimization process, and the use of interval parameters and probabilities under the uncertainty conditions are among the advantages of this technique. Multi-Stage Interval Stochastic Programming (MSISP) is the application of interval parameters under the uncertainty conditions and considering the farmer's profit and loss during water supply or shortage. Also, the mentioned model presents the values ​​of water shortage during the programming period and gives farmers the opportunity to plan to face the water crisis. In fact, this model is a model between the primary goals of exploitation and economic goals.
Results and Discussion: Since the water supply for the region over time is a random variable, using the simulation method and the use of random numbers for different years, water supply was simulated 100 times randomly. These numbers were taken into account by considering an interval using the maximum and minimum of the past data and their standard deviation. It is worth mentioning that the 100 random selections of the amount of supply for the low water flow state were selected from dry years and for the other two states from normal and wet years, respectively.
Conclusions: In general, since water is very important in dry areas, especially in the Sistan region of Iran, and water-saving in consumption and most importantly, the efficiency of water consumption is one of the main priorities, any research leading to an increase in the water-productivity and water-saving in the use of this valuable input will help the region.

Keywords

Main Subjects

References

  • Adzemi, A., & Ibrahim, W. (2015). Effect of regulated deficit irrigation on nutrient concentration in leaves, growth and yield of Sorghum. Journal of Biology, Agriculture and Healthcare, 5(4): 48-56.
  • Alizadeh, H., & Abbasi, F. (2016). Optimization of water and fertilizer consumption in grain corn irrigation fertilizer. Journal of Water Research in Agriculture, 30(4): 445-455. [In Persian]
  • Asadi, H., Baghani, M., & Rafati, M. (2022). Physical and economic productivity of irrigation water consumption and profitability of production of some crops in different irrigation systems in Alborz province of Iran. Agricultural Economics and Development, 30(4), 53-72. DOI: 10.30490/aead.2022.354870.1344. [In Persian]
  • Azarmesa, M., Fayaz, M., & Tishni, M. (2018). Managing the source and water consumption of Sefid Roud irrigation and drainage network. Proceedings of the 10th Iran Irrigation and Drainage Conference. Available at http://civilica.come/doc/10049Tehran124. [In Persian]
  • Bagherzadeh, A., Abbaszadeh, M., & Afshar, E. (2022). Evaluation of the distribution of highly consumed food elements, in order to optimize the use of fertilizer in wheat. Sustainable Agricultural Science Research, 2(4). Available at https://sid.ir/paper/1039431/fa. [In Persian]
  • Bang, N. K., Nam, W. H., An, H. U., Ha, T. H., & Lee, K. Y. (2019). Optimal operation of irrigation canal network in Anseong, South Korea. 3rd World Irrigation Forum (WIF3), 1-7 September 2019, Bali, Indonesia.
  • Divakar, L., Babel, M. S., Perret, S., & Das, G. A. (2013). Optimal water allocation model based on satisfaction and economic benefits. International Journal of Water, 7(4), 363-381.
  • Er-Rami, M., D’Urso, G., Lamaddalena, N., D’Agostino, D., & Belfiore, O. R. (2021). Analysis of irrigation system performance based on an integrated approach with Sentinel-2 satellite images. Journal of Agricultural Engineering, 52(2). DOI: 10.4081/jae.2021.1170.
  • Ghaderi, M. (2009). Measurment of water economic value in Ardakan. MSc. Dissertation. Isfahan university. [In Persian]
  • Ghaffari Moghaddam, Z., Sardar Shahraki, A., & Mirshekari, S. (2022). Optimizing crop program and water allocation using Stackelberg and meta-heuristic techniques in Sistan region. Available at https://civilica.com/doc/1685463. [In Persian]
  • Glushkova, T., Stoyanov, S., Doukovska, L., Todorov, J., & Stoyanov, I. (2021). Modeling of an irrigation system in a virtual physical space. Mathematical Biosciences and Engineering, 18(5), 6841-6856. DOI: 10.3934/mbe.2021340.
  • Ha, T. H., Nam, W. H., Do, J., Lee, S. Y., Jung, E. Y., & Lee, K. Y. (2019). Improving operational performance of irrigation canal network system for drought risk management using hydraulic model. ASABE Annual International Meeting. DOI: 10.13031/aim.201900983.
  • Jahandideh, O., & Emami, S. (2022). Presenting a model for water allocation of irrigation and drainage networks using intelligent evolutionary methods. Water Management in Agriculture, 9(1), 31-44. [In Persian]
  • Mohamed, M. H., & Ashok, K. A. (2014). Growth, yield and water use efficiency of forage sorghum as affected by NPK fertilizer and deficit irrigation. American Journal of Plant Sciences, 5(13), 2134-2140.
  • Mohammadghasemi, M., Karim, M. H., Dahmardeh, M., & Ghasemi, A. (2021). The prospect of investment in medicinal plants at Sistan Region Journal of Medicinal Plants and By-products, 10(2), 1-6. DOI: 10.22092/jmpb.2021.342441.1195.
  • Monem, M., Hashemy Shahdany, S., & Eslambolchizadeh, H. (2017). The role of managing the operation of in-route reservoirs in improving the operation of Moghan irrigation network. Water Research in Agriculture (Soil and Water Sciences), 31(4), 535-545. [In Persian]
  • Montazer, A. H. R., Mousavi Fazl, S. H., Akhyani, A., & Atarodi, A. (2018). Effect of irrigation water and potassium fertilizer on the forage yield of sorghum with the aim to determine the yield function-water-fertilizer (Pegah variety). Journal of Applied Irrigation Science, 40(1): 84-97. [In Persian]
  • Mousavi Fazl, S. H., Akhyani, A., & Atarodi, A. (2017). Effect of irrigation water and potassium fertilizer on the forage yield of sorghum with the aim to determine the yield function-water-fertilizer (Pegah variety). Irrigation Sciences and Engineering, 40(1): 83-97. [In Persian]
  • Parhizkari, A., Mozaffari, M., Khaki, M., & Taghizadeh Ranjbari, H. (2015). Optimal allocation of water and lands resources in the Roudbar Alamout region using the FGFP model. Journal of Water and Soil Resources Conservation, 4(4), 12-24. [In Persian]
  • Rao, K. V. R., Bapal, A., Gngwar, S., Chourasla, L., & Soni, K. (2016). Maximizing water production of wheat crop by adopting drip irrigation. Research on crop, 17(1):163-168.
  • Rastgaripour, F., & Sabouhi Sabouni, M. (2010). An optimization model for Kardeh reservoir operation using interval parameter, multi-stage, stochastic programming. Water and Wastewater, 21(75), 88-98. [In Persian]
  • Sardar Shahraki, A., & Karim, M. H. (2020). The economic efficiency trend of date orchards in Saravan County. Iranian Economic Review, 22(4), 1093-1112. [In Persian]
  • Tajrishi, M., & Abrishamchi, A. (2013). Management of demand for water resources in Iran. Proceedings of the Conference on Methods of Preventing the Loss of Natural Resources. Available at https://sid.ir/paper/810813/fa. [In Persian]
  • Varjavand, P., Baghani, J., & Abbasi, F. (2021). Field evaluation of physical and economical water productivity of wheat (case study in Ahwaz and Dasht-e-Azadegan). Iranian Journal of Irrigation and Drainage, 15(3), 665-678. [In Petsia

Files

Share

How to cite

Statistics