International Journal of Sustainable Development Research

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Effect of Decision Variables on Irrigation Performance Parameters Under Different Irrigation Systems

Received: 15 July 2021    Accepted: 26 July 2021    Published: 2 August 2021
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Abstract

Furrow irrigation has low irrigation performances due to inescapable irrigation water loss through runoff and deep percolation. This study was conducted under small farmers to study combined influence of furrow irrigation flow rate and irrigation systems on irrigation performance parameters. The purposes of study were to evaluate outcome of furrow irrigation flow rate and irrigation systems on application efficiency, distribution efficiency, storage efficiency and deep percolation loss using field experiment. The field experiment had two factors of three furrow irrigation system (AFI, FFI & CFI) and four furrow irrigation inflow rate (Q1, Q2, Q3 & Q4). Field experimental plot was made in randomized complete block design with factorial arrangement of twelve treatment combinations and three replications. The collected field variables were management variables (irrigation performances) and site variables (soil type, soil moisture and furrow bed slope). The results show that, influence of furrow irrigation inflow rate and irrigation systems on irrigation performance parameters were highly significant (P<0.01). However, no significant difference among irrigation systems were observed in case of distribution uniformity (Du) expect furrow inflow rate. Interaction effect of irrigation systems and furrow inflow rate on irrigation performance parameter such as Ea, Du and DP were significant (p<0.05) expect storage efficiency. The highest values of distribution uniformity were 93.45% was observed under CFIQ4 treatment combination while the least value of distribution uniformity was 81.58% was observed under AFIQ1 treatment combination. The highest values of application efficiency 68.35% was observed under AFIQ4 treatment combination and the least value of application efficiency 53.60% was observed for CFIQ1 treatment combination. However, the highest values of deep percolation loss 46.60% was obtained under CFIQ1 treatment combination and the least value of deep percolation loss 31.65% was found under AFIQ4 treatment combination. It can be concluded that best result in improving application efficiency, distribution efficiency, and storage efficiency with the reduction of deep percolation loss were obtained under Alternative furrow irrigation with maximum non erosive furrow inflow rate.

DOI 10.11648/j.ijsdr.20210703.11
Published in International Journal of Sustainable Development Research (Volume 7, Issue 3, September 2021)
Page(s) 50-55
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Irrigation System, Inflow Rate, Performance Parameter, Deep Percolation Loss

References
[1] Sunil Garg, B. S. Gulati, M. R Kaushal and A. K. Jain. 2006. Development of Relationship between Performance Irrigation Parameters and Furrow Irrigation Design Variables, Yield and Net Returns. Journal of Agricultural Engineering Vol. 43 (2).
[2] EARO (Ethiopian Agricultural Research Organization). 2002. Concept Paper on Agricultural Water Management. Addis Ababa, Ethiopia. 15 pp.
[3] Eldeiry, A., Garcia, L. A, El-Zaher, A. S, and Kiwan, M. E. 2005. Furrow irrigation system design for clay soils in arid regions. Appl. Eng. Agric. 21: 411-420.
[4] Walker, W. R. and Skogeroboe G. V. 1987. Surface Irrigation: Theory and Practice. Prentice Hall, New Jersey; 386 P.
[5] Walker, W. R. 2003. SIRMOD III Surface Irrigation Simulation, Evaluation, and Design, Guide and Technical Documentation. Utah State University.
[6] Hamad, N. S., and Stringham, G. E. 1978. Maximum non-erosive furrow irrigation stream size. Journal of Irrigation and Drainage Division. American Society of Agricultural Engineers, 104: 275-279.
[7] FAO (Food and Agricultural Organization). 1991. A Manual for the Design and Construction of Water Harvesting Schemes for Plant Production. Rome.
[8] Walker, W. R. 1989. Guidelines for Designing and Evaluating Surface Irrigation System: Irrigation and drainage paper No. 45. FAO, Rome.
[9] Adisu Tadese Eba. 2018. The Impact of Alternate Furrow Irrigation on Water Productivity and Yield of Potato at Small Scale Irrigation, Ejere District, West Shoa, Ethiopia. J Plant Sci Agric Res. Vol. 2 No. 2: 16.
[10] Lemma Teklu Kumsa. 2020. Effect of Deficit Furrow Irrigation on Yield and Water Productivity of Tomato in Central Rift Valley Intensive Irrigation System at East Shewa Zone, Oromia, Ethiopia, international journal of engineering research & technology volume 09, issue 03.
[11] Assefa S, Kedir Y, Alamirew, T. 2017. Effect of slopes, furrow lengths and inflow rates on irrigation performances and yield of sugarcane plantation at Metehara, Ethiopia. Irrigation drainage sys eng, 6: 179.
[12] Tesfaye Tefera Yigezu, Kannan Narayanan, Tilahun Hordof. 2016. Effect of Furrow Length and Flow Rate on Irrigation Performances and Yield of Maize, international journal of engineering research & technology, Volume 05, Issue 04.
[13] Mulu brehan Kifle, T. G. Gebremicael, Abbadi Girmay, Teferi Gebremedihin. 2017. Effect of surge flow and alternate irrigation on the irrigation efficiency and water productivity of onion in the semi-arid areas of North Ethiopia, Agricultural Water Management, Volume 187, Pages 69-76.
[14] Di Wu, Jingyuan Xue, Xiaodong Bo, Weichao Meng, Youjie Wu and Taisheng Du. 2017. Simulation of Irrigation Uniformity and Optimization of Irrigation Technical Parameters Based On the SIRMOD Model under Alternate Furrow Irrigation. Irrig. and Drain. 66: 478–491.
[15] Eduardo A. Holzapfel, Carlos L, Migue A. Mariño, Jerónimo P, José L. Arumí, and Max B. 2010. Furrow Irrigation Management and Design Criteria Using Efficiency Parameters and Simulation Models. Chilean Journal of Agricultural Research 70 (2): 287-296.
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    Gudeta Genemo. (2021). Effect of Decision Variables on Irrigation Performance Parameters Under Different Irrigation Systems. International Journal of Sustainable Development Research, 7(3), 50-55. https://doi.org/10.11648/j.ijsdr.20210703.11

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    Gudeta Genemo. Effect of Decision Variables on Irrigation Performance Parameters Under Different Irrigation Systems. Int. J. Sustain. Dev. Res. 2021, 7(3), 50-55. doi: 10.11648/j.ijsdr.20210703.11

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    AMA Style

    Gudeta Genemo. Effect of Decision Variables on Irrigation Performance Parameters Under Different Irrigation Systems. Int J Sustain Dev Res. 2021;7(3):50-55. doi: 10.11648/j.ijsdr.20210703.11

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  • @article{10.11648/j.ijsdr.20210703.11,
      author = {Gudeta Genemo},
      title = {Effect of Decision Variables on Irrigation Performance Parameters Under Different Irrigation Systems},
      journal = {International Journal of Sustainable Development Research},
      volume = {7},
      number = {3},
      pages = {50-55},
      doi = {10.11648/j.ijsdr.20210703.11},
      url = {https://doi.org/10.11648/j.ijsdr.20210703.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsdr.20210703.11},
      abstract = {Furrow irrigation has low irrigation performances due to inescapable irrigation water loss through runoff and deep percolation. This study was conducted under small farmers to study combined influence of furrow irrigation flow rate and irrigation systems on irrigation performance parameters. The purposes of study were to evaluate outcome of furrow irrigation flow rate and irrigation systems on application efficiency, distribution efficiency, storage efficiency and deep percolation loss using field experiment. The field experiment had two factors of three furrow irrigation system (AFI, FFI & CFI) and four furrow irrigation inflow rate (Q1, Q2, Q3 & Q4). Field experimental plot was made in randomized complete block design with factorial arrangement of twelve treatment combinations and three replications. The collected field variables were management variables (irrigation performances) and site variables (soil type, soil moisture and furrow bed slope). The results show that, influence of furrow irrigation inflow rate and irrigation systems on irrigation performance parameters were highly significant (P<0.01). However, no significant difference among irrigation systems were observed in case of distribution uniformity (Du) expect furrow inflow rate. Interaction effect of irrigation systems and furrow inflow rate on irrigation performance parameter such as Ea, Du and DP were significant (p<0.05) expect storage efficiency. The highest values of distribution uniformity were 93.45% was observed under CFIQ4 treatment combination while the least value of distribution uniformity was 81.58% was observed under AFIQ1 treatment combination. The highest values of application efficiency 68.35% was observed under AFIQ4 treatment combination and the least value of application efficiency 53.60% was observed for CFIQ1 treatment combination. However, the highest values of deep percolation loss 46.60% was obtained under CFIQ1 treatment combination and the least value of deep percolation loss 31.65% was found under AFIQ4 treatment combination. It can be concluded that best result in improving application efficiency, distribution efficiency, and storage efficiency with the reduction of deep percolation loss were obtained under Alternative furrow irrigation with maximum non erosive furrow inflow rate.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Effect of Decision Variables on Irrigation Performance Parameters Under Different Irrigation Systems
    AU  - Gudeta Genemo
    Y1  - 2021/08/02
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ijsdr.20210703.11
    DO  - 10.11648/j.ijsdr.20210703.11
    T2  - International Journal of Sustainable Development Research
    JF  - International Journal of Sustainable Development Research
    JO  - International Journal of Sustainable Development Research
    SP  - 50
    EP  - 55
    PB  - Science Publishing Group
    SN  - 2575-1832
    UR  - https://doi.org/10.11648/j.ijsdr.20210703.11
    AB  - Furrow irrigation has low irrigation performances due to inescapable irrigation water loss through runoff and deep percolation. This study was conducted under small farmers to study combined influence of furrow irrigation flow rate and irrigation systems on irrigation performance parameters. The purposes of study were to evaluate outcome of furrow irrigation flow rate and irrigation systems on application efficiency, distribution efficiency, storage efficiency and deep percolation loss using field experiment. The field experiment had two factors of three furrow irrigation system (AFI, FFI & CFI) and four furrow irrigation inflow rate (Q1, Q2, Q3 & Q4). Field experimental plot was made in randomized complete block design with factorial arrangement of twelve treatment combinations and three replications. The collected field variables were management variables (irrigation performances) and site variables (soil type, soil moisture and furrow bed slope). The results show that, influence of furrow irrigation inflow rate and irrigation systems on irrigation performance parameters were highly significant (P<0.01). However, no significant difference among irrigation systems were observed in case of distribution uniformity (Du) expect furrow inflow rate. Interaction effect of irrigation systems and furrow inflow rate on irrigation performance parameter such as Ea, Du and DP were significant (p<0.05) expect storage efficiency. The highest values of distribution uniformity were 93.45% was observed under CFIQ4 treatment combination while the least value of distribution uniformity was 81.58% was observed under AFIQ1 treatment combination. The highest values of application efficiency 68.35% was observed under AFIQ4 treatment combination and the least value of application efficiency 53.60% was observed for CFIQ1 treatment combination. However, the highest values of deep percolation loss 46.60% was obtained under CFIQ1 treatment combination and the least value of deep percolation loss 31.65% was found under AFIQ4 treatment combination. It can be concluded that best result in improving application efficiency, distribution efficiency, and storage efficiency with the reduction of deep percolation loss were obtained under Alternative furrow irrigation with maximum non erosive furrow inflow rate.
    VL  - 7
    IS  - 3
    ER  - 

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Author Information
  • Oromia Agricultural Research Institute, Bako Agricultural Engineering Research Center, Bako, Ethiopia

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