IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v96y2009i5p723-735.html
   My bibliography  Save this article

Irrigation scheduling strategies for cotton to cope with water scarcity in the Fergana Valley, Central Asia

Author

Listed:
  • Pereira, L.S.
  • Paredes, P.
  • Sholpankulov, E.D.
  • Inchenkova, O.P.
  • Teodoro, P.R.
  • Horst, M.G.

Abstract

The Central Asian countries face high water scarcity due to aridity and desertification but excess water is often applied to the main irrigated crops. This over-irrigation contributes to aggravate water scarcity problems. Improved water saving irrigation is therefore required, mainly through appropriate irrigation scheduling. To provide for it, after being previously calibrated and validated for cotton in the Fergana region, the irrigation scheduling simulation model ISAREG was explored to simulate improved irrigation scheduling alternatives. Results show that using the present irrigation scheduling a large part of the applied water, averaging 20%, percolates out of the root zone. Several irrigation strategies were analyzed, including full irrigation and various levels of deficit irrigation. The analysis focused a three-year period when experiments for calibration and validation of the model were carried out, and a longer period of 33 years that provided for an analysis considering the probabilities of the demand for irrigation water. The first concerned a wet period while the second includes a variety of climatic demand conditions that provided for analyzing alternative schedules for average, high and very high climatic demand. Results have shown the importance of the groundwater contribution, mainly when deficit irrigation is applied. Analyzing several deficit irrigation strategies through the respective potential water saving, relative yield losses, water productivity and economic water productivity, it could be concluded that relative mild deficits may be adopted. Contrarily, the adoption of high water deficit that produce high water savings would lead to yield losses that may be economically not acceptable.

Suggested Citation

  • Pereira, L.S. & Paredes, P. & Sholpankulov, E.D. & Inchenkova, O.P. & Teodoro, P.R. & Horst, M.G., 2009. "Irrigation scheduling strategies for cotton to cope with water scarcity in the Fergana Valley, Central Asia," Agricultural Water Management, Elsevier, vol. 96(5), pages 723-735, May.
    • Handle: RePEc:eee:agiwat:v:96:y:2009:i:5:p:723-735
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378-3774(08)00280-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ertek, Ahmet & Kanber, Riza, 2003. "Effects of different drip irrigation programs on the boll number and shedding percentage and yield of cotton," Agricultural Water Management, Elsevier, vol. 60(1), pages 1-11, April.
    2. Dagdelen, Necdet & Yilmaz, Ersel & Sezgin, Fuat & Gurbuz, Talih, 2006. "Water-yield relation and water use efficiency of cotton (Gossypium hirsutum L.) and second crop corn (Zea mays L.) in western Turkey," Agricultural Water Management, Elsevier, vol. 82(1-2), pages 63-85, April.
    3. Fortes, P.S. & Platonov, A.E. & Pereira, L.S., 2005. "GISAREG--A GIS based irrigation scheduling simulation model to support improved water use," Agricultural Water Management, Elsevier, vol. 77(1-3), pages 159-179, August.
    4. Falkenberg, Nyland R. & Piccinni, Giovanni & Cothren, J. Tom & Leskovar, Daniel I. & Rush, Charlie M., 2007. "Remote sensing of biotic and abiotic stress for irrigation management of cotton," Agricultural Water Management, Elsevier, vol. 87(1), pages 23-31, January.
    5. Yazar, Attila & Sezen, S. Metin & Sesveren, Sertan, 2002. "LEPA and trickle irrigation of cotton in the Southeast Anatolia Project (GAP) area in Turkey," Agricultural Water Management, Elsevier, vol. 54(3), pages 189-203, April.
    6. Horst, M.G. & Shamutalov, S.S. & Pereira, L.S. & Goncalves, J.M., 2005. "Field assessment of the water saving potential with furrow irrigation in Fergana, Aral Sea basin," Agricultural Water Management, Elsevier, vol. 77(1-3), pages 210-231, August.
    7. Liu, Y. & Pereira, L.S. & Fernando, R.M., 2006. "Fluxes through the bottom boundary of the root zone in silty soils: Parametric approaches to estimate groundwater contribution and percolation," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 27-40, July.
    8. Karam, Fadi & Lahoud, Rafic & Masaad, Randa & Daccache, Andre & Mounzer, Oussama & Rouphael, Youssef, 2006. "Water use and lint yield response of drip irrigated cotton to the length of irrigation season," Agricultural Water Management, Elsevier, vol. 85(3), pages 287-295, October.
    9. DeTar, W.R., 2008. "Yield and growth characteristics for cotton under various irrigation regimes on sandy soil," Agricultural Water Management, Elsevier, vol. 95(1), pages 69-76, January.
    10. Horst, M.G. & Shamutalov, S.S. & Goncalves, J.M. & Pereira, L.S., 2007. "Assessing impacts of surge-flow irrigation on water saving and productivity of cotton," Agricultural Water Management, Elsevier, vol. 87(2), pages 115-127, January.
    11. Pereira, Luis Santos & Oweis, Theib & Zairi, Abdelaziz, 2002. "Irrigation management under water scarcity," Agricultural Water Management, Elsevier, vol. 57(3), pages 175-206, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Iqbal, M. Anjum & Shen, Yanjun & Stricevic, Ruzica & Pei, Hongwei & Sun, Hongyoung & Amiri, Ebrahim & Penas, Angel & del Rio, Sara, 2014. "Evaluation of the FAO AquaCrop model for winter wheat on the North China Plain under deficit irrigation from field experiment to regional yield simulation," Agricultural Water Management, Elsevier, vol. 135(C), pages 61-72.
    2. Wu, Zhangsheng & Li, Yue & Wang, Rong & Xu, Xu & Ren, Dongyang & Huang, Quanzhong & Xiong, Yunwu & Huang, Guanhua, 2023. "Evaluation of irrigation water saving and salinity control practices of maize and sunflower in the upper Yellow River basin with an agro-hydrological model based method," Agricultural Water Management, Elsevier, vol. 278(C).
    3. Andarzian, B. & Bannayan, M. & Steduto, P. & Mazraeh, H. & Barati, M.E. & Barati, M.A. & Rahnama, A., 2011. "Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran," Agricultural Water Management, Elsevier, vol. 100(1), pages 1-8.
    4. Himanshu, Sushil Kumar & Ale, Srinivasulu & Bordovsky, James & Darapuneni, Murali, 2019. "Evaluation of crop-growth-stage-based deficit irrigation strategies for cotton production in the Southern High Plains," Agricultural Water Management, Elsevier, vol. 225(C).
    5. Mirshadiev, Mirzokhid & Fleskens, Luuk & van Dam, Jos & Pulatov, Alim, 2018. "Scoping of promising land management and water use practices in the dry areas of Uzbekistan," Agricultural Water Management, Elsevier, vol. 207(C), pages 15-25.
    6. Fan, Yubing & Wang, Chenggang & Nan, Zhibiao, 2014. "Comparative evaluation of crop water use efficiency, economic analysis and net household profit simulation in arid Northwest China," Agricultural Water Management, Elsevier, vol. 146(C), pages 335-345.
    7. Xiangxiang, Wang & Quanjiu, Wang & Jun, Fan & Qiuping, Fu, 2013. "Evaluation of the AquaCrop model for simulating the impact of water deficits and different irrigation regimes on the biomass and yield of winter wheat grown on China's Loess Plateau," Agricultural Water Management, Elsevier, vol. 129(C), pages 95-104.
    8. Jiang, Yao & Xu, Xu & Huang, Quanzhong & Huo, Zailin & Huang, Guanhua, 2016. "Optimizing regional irrigation water use by integrating a two-level optimization model and an agro-hydrological model," Agricultural Water Management, Elsevier, vol. 178(C), pages 76-88.
    9. Brar, Harjeet Singh & Singh, Pritpal, 2022. "Pre-and post-sowing irrigation scheduling impacts on crop phenology and water productivity of cotton (Gossypium hirsutum L.) in sub-tropical north-western India," Agricultural Water Management, Elsevier, vol. 274(C).
    10. Li, Zhi & Fang, Gonghuan & Chen, Yaning & Duan, Weili & Mukanov, Yerbolat, 2020. "Agricultural water demands in Central Asia under 1.5 °C and 2.0 °C global warming," Agricultural Water Management, Elsevier, vol. 231(C).
    11. Himanshu, Sushil Kumar & Fan, Yubing & Ale, Srinivasulu & Bordovsky, James, 2021. "Simulated efficient growth-stage-based deficit irrigation strategies for maximizing cotton yield, crop water productivity and net returns," Agricultural Water Management, Elsevier, vol. 250(C).
    12. Han, Shumin & Xin, Ping & Li, Huilong & Yang, Yonghui, 2022. "Evolution of agricultural development and land-water-food nexus in Central Asia," Agricultural Water Management, Elsevier, vol. 273(C).
    13. Darouich, Hanaa & Karfoul, Razan & Ramos, Tiago B. & Moustafa, Ali & Shaheen, Baraa & Pereira, Luis S., 2021. "Crop water requirements and crop coefficients for jute mallow (Corchorus olitorius L.) using the SIMDualKc model and assessing irrigation strategies for the Syrian Akkar region," Agricultural Water Management, Elsevier, vol. 255(C).
    14. Mohammadi, Adel & Besharat, Sina & Abbasi, Fariborz, 2019. "Effects of irrigation and fertilization management on reducing nitrogen losses and increasing corn yield under furrow irrigation," Agricultural Water Management, Elsevier, vol. 213(C), pages 1116-1129.
    15. Hunsaker, D.J. & French, A.N. & Waller, P.M. & Bautista, E. & Thorp, K.R. & Bronson, K.F. & Andrade-Sanchez, P., 2015. "Comparison of traditional and ET-based irrigation scheduling of surface-irrigated cotton in the arid southwestern USA," Agricultural Water Management, Elsevier, vol. 159(C), pages 209-224.
    16. Darouich, Hanaa & Gonçalves, José M. & Muga, André & Pereira, Luis S., 2012. "Water saving vs. farm economics in cotton surface irrigation: An application of multicriteria analysis," Agricultural Water Management, Elsevier, vol. 115(C), pages 223-231.
    17. Toumi, J. & Er-Raki, S. & Ezzahar, J. & Khabba, S. & Jarlan, L. & Chehbouni, A., 2016. "Performance assessment of AquaCrop model for estimating evapotranspiration, soil water content and grain yield of winter wheat in Tensift Al Haouz (Morocco): Application to irrigation management," Agricultural Water Management, Elsevier, vol. 163(C), pages 219-235.
    18. Geerts, Sam & Raes, Dirk, 2009. "Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas," Agricultural Water Management, Elsevier, vol. 96(9), pages 1275-1284, September.
    19. Lee, Seung Oh & Jung, Younghun, 2018. "Efficiency of water use and its implications for a water-food nexus in the Aral Sea Basin," Agricultural Water Management, Elsevier, vol. 207(C), pages 80-90.
    20. Manel Ben Hassen & Federica Monaco & Arianna Facchi & Marco Romani & Giampiero Valè & Guido Sali, 2017. "Economic Performance of Traditional and Modern Rice Varieties under Different Water Management Systems," Sustainability, MDPI, vol. 9(3), pages 1-10, February.
    21. Jovanovic, N. & Pereira, L.S. & Paredes, P. & Pôças, I. & Cantore, V. & Todorovic, M., 2020. "A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods," Agricultural Water Management, Elsevier, vol. 239(C).
    22. Usman Awan & Bernhard Tischbein & Christopher Conrad & Christopher Martius & Mohsin Hafeez, 2011. "Remote Sensing and Hydrological Measurements for Irrigation Performance Assessments in a Water User Association in the Lower Amu Darya River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(10), pages 2467-2485, August.

    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. Darouich, Hanaa & Gonçalves, José M. & Muga, André & Pereira, Luis S., 2012. "Water saving vs. farm economics in cotton surface irrigation: An application of multicriteria analysis," Agricultural Water Management, Elsevier, vol. 115(C), pages 223-231.
    2. DeTar, W.R., 2008. "Yield and growth characteristics for cotton under various irrigation regimes on sandy soil," Agricultural Water Management, Elsevier, vol. 95(1), pages 69-76, January.
    3. Ünlü, Mustafa & Kanber, RIza & Koç, D. Levent & Tekin, Servet & Kapur, Burçak, 2011. "Effects of deficit irrigation on the yield and yield components of drip irrigated cotton in a mediterranean environment," Agricultural Water Management, Elsevier, vol. 98(4), pages 597-605, February.
    4. Minhas, P.S. & Ramos, Tiago B. & Ben-Gal, Alon & Pereira, Luis S., 2020. "Coping with salinity in irrigated agriculture: Crop evapotranspiration and water management issues," Agricultural Water Management, Elsevier, vol. 227(C).
    5. Komlan Koudahe & Aleksey Y. Sheshukov & Jonathan Aguilar & Koffi Djaman, 2021. "Irrigation-Water Management and Productivity of Cotton: A Review," Sustainability, MDPI, vol. 13(18), pages 1-21, September.
    6. 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.
    7. Papastylianou, Panayiota T. & Argyrokastritis, Ioannis G., 2014. "Effect of limited drip irrigation regime on yield, yield components, and fiber quality of cotton under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 142(C), pages 127-134.
    8. Sampathkumar, T. & Pandian, B.J. & Rangaswamy, M.V. & Manickasundaram, P. & Jeyakumar, P., 2013. "Influence of deficit irrigation on growth, yield and yield parameters of cotton–maize cropping sequence," Agricultural Water Management, Elsevier, vol. 130(C), pages 90-102.
    9. Dagdelen, N. & Basal, H. & YIlmaz, E. & Gürbüz, T. & Akçay, S., 2009. "Different drip irrigation regimes affect cotton yield, water use efficiency and fiber quality in western Turkey," Agricultural Water Management, Elsevier, vol. 96(1), pages 111-120, January.
    10. Kang, Yaohu & Wang, Ruoshui & Wan, Shuqin & Hu, Wei & Jiang, Shufang & Liu, Shiping, 2012. "Effects of different water levels on cotton growth and water use through drip irrigation in an arid region with saline ground water of Northwest China," Agricultural Water Management, Elsevier, vol. 109(C), pages 117-126.
    11. Mirshadiev, Mirzokhid & Fleskens, Luuk & van Dam, Jos & Pulatov, Alim, 2018. "Scoping of promising land management and water use practices in the dry areas of Uzbekistan," Agricultural Water Management, Elsevier, vol. 207(C), pages 15-25.
    12. Darouich, Hanaa & Karfoul, Razan & Ramos, Tiago B. & Moustafa, Ali & Shaheen, Baraa & Pereira, Luis S., 2021. "Crop water requirements and crop coefficients for jute mallow (Corchorus olitorius L.) using the SIMDualKc model and assessing irrigation strategies for the Syrian Akkar region," Agricultural Water Management, Elsevier, vol. 255(C).
    13. Kenjabaev, Shavkat & Forkutsa, I. & Bach, M. & Frede, H.-G., 2013. "Performance evaluation of the BUDGET model in simulating cotton and wheat yield and soil moisture in Fergana valley," International Conference and Young Researchers Forum - Natural Resource Use in Central Asia: Institutional Challenges and the Contribution of Capacity Building 159114, University of Giessen (JLU Giessen), Center for International Development and Environmental Research.
    14. Giorgio Baiamonte & Mario Minacapilli & Giuseppina Crescimanno, 2020. "Effects of Biochar on Irrigation Management and Water Use Efficiency for Three Different Crops in a Desert Sandy Soil," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    15. Jovanovic, N. & Pereira, L.S. & Paredes, P. & Pôças, I. & Cantore, V. & Todorovic, M., 2020. "A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods," Agricultural Water Management, Elsevier, vol. 239(C).
    16. Fan, Yubing & Wang, Chenggang & Nan, Zhibiao, 2014. "Comparative evaluation of crop water use efficiency, economic analysis and net household profit simulation in arid Northwest China," Agricultural Water Management, Elsevier, vol. 146(C), pages 335-345.
    17. Karam, F. & Saliba, R. & Skaf, S. & Breidy, J. & Rouphael, Y. & Balendonck, J., 2011. "Yield and water use of eggplants (Solanum melongena L.) under full and deficit irrigation regimes," Agricultural Water Management, Elsevier, vol. 98(8), pages 1307-1316, May.
    18. Wang, Haidong & Wu, Lifeng & Wang, Xiukang & Zhang, Shaohui & Cheng, Minghui & Feng, Hao & Fan, Junliang & Zhang, Fucang & Xiang, Youzhen, 2021. "Optimization of water and fertilizer management improves yield, water, nitrogen, phosphorus and potassium uptake and use efficiency of cotton under drip fertigation," Agricultural Water Management, Elsevier, vol. 245(C).
    19. Darouich, Hanaa & Karfoul, Razan & Eid, Haitham & Ramos, Tiago B. & Baddour, Nisreen & Moustafa, Ali & Assaad, Mahmoud I., 2020. "Modeling Zucchini squash irrigation requirements in the Syrian Akkar region using the FAO56 dual-Kc approach," Agricultural Water Management, Elsevier, vol. 229(C).
    20. Rodrigues, Gonçalo C. & Paredes, Paula & Gonçalves, José M. & Alves, Isabel & Pereira, Luis S., 2013. "Comparing sprinkler and drip irrigation systems for full and deficit irrigated maize using multicriteria analysis and simulation modelling: Ranking for water saving vs. farm economic returns," Agricultural Water Management, Elsevier, vol. 126(C), pages 85-96.

    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:eee:agiwat:v:96:y:2009:i:5:p:723-735. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.