IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v98y2010i1p213-216.html
   My bibliography  Save this article

Using AquaCrop to derive deficit irrigation schedules

Author

Listed:
  • Geerts, S.
  • Raes, D.
  • Garcia, M.

Abstract

Straightforward guidelines for deficit irrigation (DI) can help in increasing crop water productivity in agriculture. To elaborate such guidelines, crop models assist in assessing the conjunctive effect of different environmental stresses on crop yield. We use the AquaCrop model to simulate crop development for long series of historical climate data. Subsequently we carry out a frequency analysis on the simulated intermediate biomass levels at the start of the critical growth stage, during which irrigation will be applied. From the start of the critical growth stage onwards, we simulate dry weather conditions and derive optimal frequencies (time interval of a fixed net application depth) of irrigation to avoid drought stress during the sensitive growth stages and to guarantee maximum water productivity. By summarizing these results in easy readable charts, they become appropriate for policy, extension and farmer level use. We illustrate the procedure to derive DI schedules with an example of quinoa in Bolivia. If applied to other crops and regions, the presented methodology can be an illustrative decision support tool for sustainable agriculture based on DI.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:agiwat:v:98:y:2010:i:1:p:213-216
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378-3774(10)00234-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Geerts, S. & Raes, D. & Garcia, M. & Taboada, C. & Miranda, R. & Cusicanqui, J. & Mhizha, T. & Vacher, J., 2009. "Modeling the potential for closing quinoa yield gaps under varying water availability in the Bolivian Altiplano," Agricultural Water Management, Elsevier, vol. 96(11), pages 1652-1658, November.
    2. 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.
    3. Geerts, Sam & Raes, Dirk & Garcia, Magali & Condori, Octavio & Mamani, Judith & Miranda, Roberto & Cusicanqui, Jorge & Taboada, Cristal & Yucra, Edwin & Vacher, Jean, 2008. "Could deficit irrigation be a sustainable practice for quinoa (Chenopodium quinoa Willd.) in the Southern Bolivian Altiplano?," Agricultural Water Management, Elsevier, vol. 95(8), pages 909-917, August.
    4. 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.
    5. Kijne, J. W. & Barker, R. & Molden. D., 2003. "Water productivity in agriculture: limits and opportunities for improvement," IWMI Books, Reports H032631, International Water Management Institute.
    6. Molden, D. & Murray-Rust, H. & Sakthivadivel, R. & Makin, I., 2003. "A water-productivity framework for understanding and action," IWMI Books, Reports H032632, International Water Management Institute.
    7. Raes, Dirk & Geerts, Sam & Kipkorir, Emmanuel & Wellens, Joost & Sahli, Ali, 2006. "Simulation of yield decline as a result of water stress with a robust soil water balance model," Agricultural Water Management, Elsevier, vol. 81(3), pages 335-357, March.
    8. Kijne, Jacob W. & Barker, Randolph & Molden, David J. (ed.), 2003. "Water productivity in agriculture: limits and opportunities for improvement," IWMI Books, International Water Management Institute, number 138054, January.
    9. Garcia, Magali & Raes, Dirk & Jacobsen, Sven-Erik, 2003. "Evapotranspiration analysis and irrigation requirements of quinoa (Chenopodium quinoa) in the Bolivian highlands," Agricultural Water Management, Elsevier, vol. 60(2), pages 119-134, May.
    10. 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)

    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. 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.
    2. Talebnejad, R. & Sepaskhah, A.R., 2015. "Effect of deficit irrigation and different saline groundwater depths on yield and water productivity of quinoa," Agricultural Water Management, Elsevier, vol. 159(C), pages 225-238.
    3. 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.
    4. Eric Njuki & Boris E. Bravo-Ureta, 2019. "Examining irrigation productivity in U.S. agriculture using a single-factor approach," Journal of Productivity Analysis, Springer, vol. 51(2), pages 125-136, June.
    5. 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.
    6. Tang, Li-Song & Li, Yan & Zhang, Jianhua, 2010. "Partial rootzone irrigation increases water use efficiency, maintains yield and enhances economic profit of cotton in arid area," Agricultural Water Management, Elsevier, vol. 97(10), pages 1527-1533, October.
    7. Geerts, S. & Raes, D. & Garcia, M. & Taboada, C. & Miranda, R. & Cusicanqui, J. & Mhizha, T. & Vacher, J., 2009. "Modeling the potential for closing quinoa yield gaps under varying water availability in the Bolivian Altiplano," Agricultural Water Management, Elsevier, vol. 96(11), pages 1652-1658, November.
    8. Bluemling, Bettina & Yang, Hong & Pahl-Wostl, Claudia, 2007. "Making water productivity operational--A concept of agricultural water productivity exemplified at a wheat-maize cropping pattern in the North China plain," Agricultural Water Management, Elsevier, vol. 91(1-3), pages 11-23, July.
    9. 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.
    10. Kumar, M. Dinesh & van Dam, J. C., 2009. "Improving water productivity in agriculture in India: beyond \u2018more crop per drop\u2019," IWMI Books, Reports H042639, International Water Management Institute.
    11. Ignacio Lorite & Margarita García-Vila & María-Ascensión Carmona & Cristina Santos & María-Auxiliadora Soriano, 2012. "Assessment of the Irrigation Advisory Services’ Recommendations and Farmers’ Irrigation Management: A Case Study in Southern Spain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2397-2419, June.
    12. Kumar, M. Dinesh & van Dam, J. C., 2008. "Improving water productivity in agriculture in developing economies: in search of new avenues," IWMI Conference Proceedings 245276, International Water Management Institute.
    13. Fernández, J.E. & Alcon, F. & Diaz-Espejo, A. & Hernandez-Santana, V. & Cuevas, M.V., 2020. "Water use indicators and economic analysis for on-farm irrigation decision: A case study of a super high density olive tree orchard," Agricultural Water Management, Elsevier, vol. 237(C).
    14. Molden, David & Oweis, Theib & Steduto, Pasquale & Bindraban, Prem & Hanjra, Munir A. & Kijne, Jacob, 2010. "Improving agricultural water productivity: Between optimism and caution," Agricultural Water Management, Elsevier, vol. 97(4), pages 528-535, April.
    15. Peake, A.S. & Carberry, P.S. & Raine, S.R. & Gett, V. & Smith, R.J., 2016. "An alternative approach to whole-farm deficit irrigation analysis: Evaluating the risk-efficiency of wheat irrigation strategies in sub-tropical Australia," Agricultural Water Management, Elsevier, vol. 169(C), pages 61-76.
    16. Wesseling, J.G. & Feddes, R.A., 2006. "Assessing crop water productivity from field to regional scale," Agricultural Water Management, Elsevier, vol. 86(1-2), pages 30-39, November.
    17. Susanne Scheierling & David O. Treguer & James F. Booker, 2016. "Water Productivity in Agriculture: Looking for Water in the Agricultural Productivity and Efficiency Literature," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 1-33, September.
    18. Cai, X.L. & Sharma, B.R., 2010. "Integrating remote sensing, census and weather data for an assessment of rice yield, water consumption and water productivity in the Indo-Gangetic river basin," Agricultural Water Management, Elsevier, vol. 97(2), pages 309-316, February.
    19. Linker, Raphael & Ioslovich, Ilya & Sylaios, Georgios & Plauborg, Finn & Battilani, Adriano, 2016. "Optimal model-based deficit irrigation scheduling using AquaCrop: A simulation study with cotton, potato and tomato," Agricultural Water Management, Elsevier, vol. 163(C), pages 236-243.
    20. Mustafa, S.M.T. & Vanuytrecht, E. & Huysmans, M., 2017. "Combined deficit irrigation and soil fertility management on different soil textures to improve wheat yield in drought-prone Bangladesh," Agricultural Water Management, Elsevier, vol. 191(C), pages 124-137.

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    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:98:y:2010:i:1:p:213-216. 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.