IDEAS home Printed from https://ideas.repec.org/p/ags/iwmicp/246414.html
   My bibliography  Save this paper

Evaluating irrigation technologies to improve crop and water productivity of onion in Dangishta watershed during the dry monsoon phase

Author

Listed:
  • Tesema, M.
  • Schmitter, Petra
  • Nakawuka, Prossie
  • Tilahun, S. A.
  • Steenhuis, T.
  • Langan, Simon

Abstract

Abstract Although Ethiopia has abundant rainfall during the monsoon, its agricultural system does not yet fully benefit from the technologies of optimal agricultural water management during the dry season when water supplies are short. Therefore, there is need to investigate the potential of simple water saving irrigation technologies for farmers. In this study two different irrigation scheduling methods were compared: irrigation scheduling by Wetting Front Detector (WFD) and soil water balance by measuring soil moisture using Time Domain Reflectometry (TDR). Eighteen farmers, grew the same onion variety, were randomly assigned to the two irrigation management practices. The experimental plot size varied between 100 m2 and 230 m2.Recommended crop management and fertilizer application rates were maintained for all farmers. The average amount of water applied in the WFD plots was 24% lower than for TDR. Larger variability among the TDR farmers was found both in irrigation quantity and yield. Differences in yield, water productivity and water use efficiency between both irrigation treatments were not significant. The study shows that using the WFD tool could guide farmers on how much to irrigate, reducing the amount of water without affecting crop yields.

Suggested Citation

  • Tesema, M. & Schmitter, Petra & Nakawuka, Prossie & Tilahun, S. A. & Steenhuis, T. & Langan, Simon, 2016. "Evaluating irrigation technologies to improve crop and water productivity of onion in Dangishta watershed during the dry monsoon phase," IWMI Conference Proceedings 246414, International Water Management Institute.
    • Handle: RePEc:ags:iwmicp:246414
    DOI: 10.22004/ag.econ.246414
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/246414/files/H047635.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.246414?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Stirzaker, R. & Stevens, J. & Annandale, J. & Maeko, T. & Steyn, J. & Mpandeli, S. & Maurobane, W. & Nkgapele, J. & Jovanovic, N., 2004. "Building capacity in irrigation management with wetting front detectors," IWMI Research Reports H044219, International Water Management Institute.
    2. Zwart, Sander J. & Bastiaanssen, Wim G. M., 2004. "Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize," Agricultural Water Management, Elsevier, vol. 69(2), pages 115-133, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ren, Dongyang & Xu, Xu & Engel, Bernard & Huang, Quanzhong & Xiong, Yunwu & Huo, Zailin & Huang, Guanhua, 2021. "A comprehensive analysis of water productivity in natural vegetation and various crops coexistent agro-ecosystems," Agricultural Water Management, Elsevier, vol. 243(C).
    2. Immerzeel, W.W. & Gaur, A. & Zwart, S.J., 2008. "Integrating remote sensing and a process-based hydrological model to evaluate water use and productivity in a south Indian catchment," Agricultural Water Management, Elsevier, vol. 95(1), pages 11-24, January.
    3. Bonfante, A. & Monaco, E. & Manna, P. & De Mascellis, R. & Basile, A. & Buonanno, M. & Cantilena, G. & Esposito, A. & Tedeschi, A. & De Michele, C. & Belfiore, O. & Catapano, I. & Ludeno, G. & Salinas, 2019. "LCIS DSS—An irrigation supporting system for water use efficiency improvement in precision agriculture: A maize case study," Agricultural Systems, Elsevier, vol. 176(C).
    4. Gonçalves, Ivo Zution & Mekonnen, Mesfin M. & Neale, Christopher M.U. & Campos, Isidro & Neale, Michael R., 2020. "Temporal and spatial variations of irrigation water use for commercial corn fields in Central Nebraska," Agricultural Water Management, Elsevier, vol. 228(C).
    5. Mohammad Alauddin & Upali A. Amarasinghe & Bharat R. Sharma, 2014. "Four decades of rice water productivity in Bangladesh: A spatio-temporal analysis of district level panel data," Economic Analysis and Policy, Elsevier, vol. 44(1), pages 51-64.
    6. Gao, Yang & Yang, Linlin & Shen, Xiaojun & Li, Xinqiang & Sun, Jingsheng & Duan, Aiwang & Wu, Laosheng, 2014. "Winter wheat with subsurface drip irrigation (SDI): Crop coefficients, water-use estimates, and effects of SDI on grain yield and water use efficiency," Agricultural Water Management, Elsevier, vol. 146(C), pages 1-10.
    7. Islam, AFM Tariqul & Islam, AKM Saiful & Islam, GM Tarekul & Bala, Sujit Kumar & Salehin, Mashfiqus & Choudhury, Apurba Kanti & Dey, Nepal C. & Hossain, Akbar, 2022. "Adaptation strategies to increase water productivity of wheat under changing climate," Agricultural Water Management, Elsevier, vol. 264(C).
    8. Iqbal, M. Anjum & Bodner, G. & Heng, L.K. & Eitzinger, J. & Hassan, A., 2010. "Assessing yield optimization and water reduction potential for summer-sown and spring-sown maize in Pakistan," Agricultural Water Management, Elsevier, vol. 97(5), pages 731-737, May.
    9. Li, Xiaolin & Tong, Ling & Niu, Jun & Kang, Shaozhong & Du, Taisheng & Li, Sien & Ding, Risheng, 2017. "Spatio-temporal distribution of irrigation water productivity and its driving factors for cereal crops in Hexi Corridor, Northwest China," Agricultural Water Management, Elsevier, vol. 179(C), pages 55-63.
    10. Oker, Tobias E. & Kisekka, Isaya & Sheshukov, Aleksey Y. & Aguilar, Jonathan & Rogers, Danny H., 2018. "Evaluation of maize production under mobile drip irrigation," Agricultural Water Management, Elsevier, vol. 210(C), pages 11-21.
    11. Zhang, Xiying & Chen, Suying & Sun, Hongyong & Shao, Liwei & Wang, Yanzhe, 2011. "Changes in evapotranspiration over irrigated winter wheat and maize in North China Plain over three decades," Agricultural Water Management, Elsevier, vol. 98(6), pages 1097-1104, April.
    12. World Bank, 2006. "Reengaging in Agricultural Water Management: Challenges and Options," World Bank Publications - Books, The World Bank Group, number 6957.
    13. Katerji, Nader & Campi, Pasquale & Mastrorilli, Marcello, 2013. "Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region," Agricultural Water Management, Elsevier, vol. 130(C), pages 14-26.
    14. Geerts, S. & Raes, D. & Garcia, M., 2010. "Using AquaCrop to derive deficit irrigation schedules," Agricultural Water Management, Elsevier, vol. 98(1), pages 213-216, December.
    15. Dennis Wichelns, 2015. "Water productivity and water footprints are not helpful in determining optimal water allocations or efficient management strategies," Water International, Taylor & Francis Journals, vol. 40(7), pages 1059-1070, November.
    16. Ahmad, Mirza Junaid & Iqbal, Muhammad Anjum & Choi, Kyung Sook, 2020. "Climate-driven constraints in sustaining future wheat yield and water productivity," Agricultural Water Management, Elsevier, vol. 231(C).
    17. Tarkalson, David D. & King, Bradley A. & Bjorneberg, Dave L., 2022. "Maize grain yield and crop water productivity functions in the arid Northwest U.S," Agricultural Water Management, Elsevier, vol. 264(C).
    18. M. A. Samad Azad & Tihomir Ancev, 2016. "Economics of Salinity Effects from Irrigated Cotton: An Efficiency Analysis," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 2(01), pages 1-24, March.
    19. Oweis, T.Y. & Farahani, H.J. & Hachum, A.Y., 2011. "Evapotranspiration and water use of full and deficit irrigated cotton in the Mediterranean environment in northern Syria," Agricultural Water Management, Elsevier, vol. 98(8), pages 1239-1248, May.
    20. Cai, Ximing & Yang, Yi-Chen E. & Ringler, Claudia & Zhao, Jianshi & You, Liangzhi, 2011. "Agricultural water productivity assessment for the Yellow River Basin," Agricultural Water Management, Elsevier, vol. 98(8), pages 1297-1306, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:iwmicp:246414. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iwmiclk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.