IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v26y2012i4p997-1014.html
   My bibliography  Save this article

Evaluation of Crop Models for Simulating and Optimizing Deficit Irrigation Systems in Arid and Semi-arid Countries Under Climate Variability

Author

Listed:
  • Sebastian Kloss
  • Raji Pushpalatha
  • Kefasi Kamoyo
  • Niels Schütze

Abstract

The variability of fresh water availability in arid and semi-arid countries poses a serious challenge to farmers to cope with when depending on irrigation for crop growing. This has shifted the focus onto improving irrigation management and water productivity (WP) through controlled deficit irrigation (DI). DI can be conceived as a strategy to deal with these challenges but more knowledge on risks and chances of this strategy is urgently needed. The availability of simulation models that can reliably predict crop yield under the influence of soil, atmosphere, irrigation, and agricultural management practices is a prerequisite for deriving reliable and effective deficit irrigation strategies. In this context, this article discusses the performance of the crop models CropWat, PILOTE, Daisy, and APSIM when being part of a stochastic simulation-based approach to improve WP by focusing primarily on the impact of climate variability. The stochastic framework consists of: (i) a weather generator for simulating regional impacts of climate variability; (ii) a tailor-made evolutionary optimization algorithm for optimal irrigation scheduling with limited water supply; and (iii) the above mentioned models for simulating water transport and crop growth in a sound manner. The results present stochastic crop water production functions (SCWPFs) that can be used as basic tools for assessing the impact on the risk for the potential yield due to water stress and climate variability. Example simulations from India, Malawi, France and Oman are presented and the suitability of these crop models to be employed in a framework for optimizing WP is evaluated. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Sebastian Kloss & Raji Pushpalatha & Kefasi Kamoyo & Niels Schütze, 2012. "Evaluation of Crop Models for Simulating and Optimizing Deficit Irrigation Systems in Arid and Semi-arid Countries Under Climate Variability," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(4), pages 997-1014, March.
  • Handle: RePEc:spr:waterr:v:26:y:2012:i:4:p:997-1014
    DOI: 10.1007/s11269-011-9906-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-011-9906-y
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11269-011-9906-y?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
    ---><---

    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. 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. Plauborg, Finn & Abrahamsen, Per & Gjettermann, Birgitte & Mollerup, Mikkel & Iversen, Bo V. & Liu, Fulai & Andersen, Mathias N. & Hansen, Søren, 2010. "Modelling of root ABA synthesis, stomatal conductance, transpiration and potato production under water saving irrigation regimes," Agricultural Water Management, Elsevier, vol. 98(3), pages 425-439, December.
    3. Mailhol, Jean Claude & Olufayo, Ayorinde A. & Ruelle, Pierre, 1997. "Sorghum and sunflower evapotranspiration and yield from simulated leaf area index," Agricultural Water Management, Elsevier, vol. 35(1-2), pages 167-182, December.
    4. de Fraiture, Charlotte & Wichelns, Dennis, 2010. "Satisfying future water demands for agriculture," Agricultural Water Management, Elsevier, vol. 97(4), pages 502-511, April.
    5. Moore, A.D. & Robertson, M.J. & Routley, R., 2011. "Evaluation of the water use efficiency of alternative farm practices at a range of spatial and temporal scales: A conceptual framework and a modelling approach," Agricultural Systems, Elsevier, vol. 104(2), pages 162-174, February.
    6. Vazifedoust, M. & van Dam, J.C. & Feddes, R.A. & Feizi, M., 2008. "Increasing water productivity of irrigated crops under limited water supply at field scale," Agricultural Water Management, Elsevier, vol. 95(2), pages 89-102, February.
    7. 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.
    8. Garcia y Garcia, Axel & Guerra, Larry C. & Hoogenboom, Gerrit, 2008. "Impact of generated solar radiation on simulated crop growth and yield," Ecological Modelling, Elsevier, vol. 210(3), pages 312-326.
    9. Khaledian, M.R. & Mailhol, J.C. & Ruelle, P. & Rosique, P., 2009. "Adapting PILOTE model for water and yield management under direct seeding system: The case of corn and durum wheat in a Mediterranean context," Agricultural Water Management, Elsevier, vol. 96(5), pages 757-770, May.
    10. M.R. Khaledian & J.C. Mailhol & P. Ruelle & J.L. Rosique, 2009. "Adapting PILOTE model for water and yield management under direct seeding system: The case of corn and durum wheat in a Mediterranean context," Post-Print hal-00454543, HAL.
    11. Mailhol, Jean Claude & Ruelle, Pierre & Walser, Sabine & Schütze, Niels & Dejean, Cyril, 2011. "Analysis of AET and yield predictions under surface and buried drip irrigation systems using the Crop Model PILOTE and Hydrus-2D," Agricultural Water Management, Elsevier, vol. 98(6), pages 1033-1044, April.
    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. Ali Sabziparvar & Roya Mousavi & Safar Marofi & Niaz Ebrahimipak & Majid Heidari, 2013. "An Improved Estimation of the Angstrom–Prescott Radiation Coefficients for the FAO56 Penman–Monteith Evapotranspiration Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 2839-2854, June.
    2. Kögler, F. & Söffker, D., 2017. "Water (stress) models and deficit irrigation: System-theoretical description and causality mapping," Ecological Modelling, Elsevier, vol. 361(C), pages 135-156.
    3. Qian Li & Yan Chen & Shikun Sun & Muyuan Zhu & Jing Xue & Zihan Gao & Jinfeng Zhao & Yihe Tang, 2022. "Research on Crop Irrigation Schedules Under Deficit Irrigation—A Meta-analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4799-4817, September.
    4. Lalehzari, Reza & Kerachian, Reza, 2020. "Developing a framework for daily common pool groundwater allocation to demands in agricultural regions," Agricultural Water Management, Elsevier, vol. 241(C).
    5. Mehran Homayounfar & Sai Lai & Mehdi Zomorodian & Ali Sepaskhah & Arman Ganji, 2014. "Optimal Crop Water Allocation in Case of Drought Occurrence, Imposing Deficit Irrigation with Proportional Cutback Constraint," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3207-3225, August.
    6. He, Liuyue & Xue, Jingyuan & Wang, Sufen, 2023. "WHCrop: A novel water-heat driven crop model for estimating the spatiotemporal dynamics of crop growth for arid region," Agricultural Water Management, Elsevier, vol. 287(C).
    7. Martínez-Romero, A. & López-Urrea, R. & Montoya, F. & Pardo, J.J. & Domínguez, A., 2021. "Optimization of irrigation scheduling for barley crop, combining AquaCrop and MOPECO models to simulate various water-deficit regimes," Agricultural Water Management, Elsevier, vol. 258(C).
    8. Agossou Gadedjisso-Tossou & Tamara Avellán & Niels Schütze, 2019. "An Economic-Based Evaluation of Maize Production under Deficit and Supplemental Irrigation for Smallholder Farmers in Northern Togo, West Africa," Resources, MDPI, vol. 8(4), pages 1-11, November.
    9. Hung-Wei Tseng & Tao-Chang Yang & Chen-Min Kuo & Pao-Shan Yu, 2012. "Application of Multi-site Weather Generators for Investigating Wet and Dry Spell Lengths under Climate Change: A Case Study in Southern Taiwan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(15), pages 4311-4326, December.
    10. Aster Tesfaye Hordofa & Olkeba Tolessa Leta & Tena Alamirew & Abebe Demissie Chukalla, 2022. "Response of Winter Wheat Production to Climate Change in Ziway Lake Basin," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    11. Seyed Ahmadi & Elnaz Mosallaeepour & Ali Kamgar-Haghighi & Ali Sepaskhah, 2015. "Modeling Maize Yield and Soil Water Content with AquaCrop Under Full and Deficit Irrigation Managements," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2837-2853, June.
    12. Yenesew Yihun & Abraham Haile & Bart Schultz & Teklu Erkossa, 2013. "Crop Water Productivity of Irrigated Teff in a Water Stressed Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 3115-3125, June.
    13. Kögler, Friederike & Söffker, Dirk, 2020. "State-based open-loop control of plant growth by means of water stress training," Agricultural Water Management, Elsevier, vol. 230(C).
    14. Wouter Buytaert & Jan Friesen & Jens Liebe & Ralf Ludwig, 2012. "Assessment and Management of Water Resources in Developing, Semi-arid and Arid Regions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(4), pages 841-844, March.
    15. Daniela D’Agostino & Alessandra Scardigno & Nicola Lamaddalena & Daniel Chami, 2014. "Sensitivity Analysis of Coupled Hydro-Economic Models: Quantifying Climate Change Uncertainty for Decision-Making," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 4303-4318, September.
    16. Arman Ganji & Sara Kaviani, 2013. "Probability Analysis of Crop Water Stress Index: An Application of Double Bounded Density Function (DB-CDF)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(10), pages 3791-3802, August.
    17. López-Mata, E. & Tarjuelo, J.M. & Orengo-Valverde, J.J. & Pardo, J.J. & Domínguez, A., 2019. "Irrigation scheduling to maximize crop gross margin under limited water availability," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.

    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. Elamri, Y. & Cheviron, B. & Lopez, J.-M. & Dejean, C. & Belaud, G., 2018. "Water budget and crop modelling for agrivoltaic systems: Application to irrigated lettuces," Agricultural Water Management, Elsevier, vol. 208(C), pages 440-453.
    2. M.R. Khaledian & J.C. Mailhol & P. Ruelle & C. Dejean, 2013. "Effect of cropping strategies on the irrigation water productivity of durum wheat," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 59(1), pages 29-36.
    3. Albasha, Rami & Mailhol, Jean-Claude & Cheviron, Bruno, 2015. "Compensatory uptake functions in empirical macroscopic root water uptake models – Experimental and numerical analysis," Agricultural Water Management, Elsevier, vol. 155(C), pages 22-39.
    4. Shuang Liu & Yuru Gao & Huilin Lang & Yong Liu & Hong Zhang, 2022. "Effects of Conventional Tillage and No-Tillage Systems on Maize ( Zea mays L.) Growth and Yield, Soil Structure, and Water in Loess Plateau of China: Field Experiment and Modeling Studies," Land, MDPI, vol. 11(11), pages 1-14, October.
    5. Mubarak, Ibrahim & Mailhol, Jean Claude & Angulo-Jaramillo, Rafael & Bouarfa, Sami & Ruelle, Pierre, 2009. "Effect of temporal variability in soil hydraulic properties on simulated water transfer under high-frequency drip irrigation," Agricultural Water Management, Elsevier, vol. 96(11), pages 1547-1559, November.
    6. 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.
    7. Nouri, Milad & Homaee, Mehdi & Pereira, Luis S. & Bybordi, Mohammad, 2023. "Water management dilemma in the agricultural sector of Iran: A review focusing on water governance," Agricultural Water Management, Elsevier, vol. 288(C).
    8. Richard, Bastien & Bonté, Bruno & Delmas, Magalie & Braud, Isabelle & Cheviron, Bruno & Veyssier, Julien & Barreteau, Olivier, 2022. "A co-simulation approach to study the impact of gravity collective irrigation constraints on plant dynamics in Southern France," Agricultural Water Management, Elsevier, vol. 262(C).
    9. Mailhol, J.-C. & Albasha, R. & Cheviron, B. & Lopez, J.-M. & Ruelle, P. & Dejean, C., 2018. "The PILOTE-N model for improving water and nitrogen management practices: Application in a Mediterranean context," Agricultural Water Management, Elsevier, vol. 204(C), pages 162-179.
    10. Shuang Liu & Jianye Li & Xingyi Zhang, 2022. "Simulations of Soil Water and Heat Processes for No Tillage and Conventional Tillage Systems in Mollisols of China," Land, MDPI, vol. 11(3), pages 1-17, March.
    11. Liu, S. & Yang, J.Y. & Zhang, X.Y. & Drury, C.F. & Reynolds, W.D. & Hoogenboom, G., 2013. "Modelling crop yield, soil water content and soil temperature for a soybean–maize rotation under conventional and conservation tillage systems in Northeast China," Agricultural Water Management, Elsevier, vol. 123(C), pages 32-44.
    12. Mathobo, Rudzani & Marais, Diana & Steyn, Joachim Martin, 2018. "Calibration and validation of the SWB model for dry beans (Phaseolus vulgaris L.) at different drought stress levels," Agricultural Water Management, Elsevier, vol. 202(C), pages 113-121.
    13. Lankford, B. & Makin, Ian & Matthews, N. & McCornick, Peter G. & Noble, A. & Shah, Tushaar, "undated". "A compact to revitalise large-scale irrigation systems using a leadership-partnership-ownership 'Theory of Change'," Papers published in Journals (Open Access) H047459, International Water Management Institute.
    14. 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.
    15. Hanjra, Munir A. & Qureshi, M. Ejaz, 2010. "Global water crisis and future food security in an era of climate change," Food Policy, Elsevier, vol. 35(5), pages 365-377, October.
    16. Wei, Zheng & Paredes, Paula & Liu, Yu & Chi, Wei Wei & Pereira, Luis S., 2015. "Modelling transpiration, soil evaporation and yield prediction of soybean in North China Plain," Agricultural Water Management, Elsevier, vol. 147(C), pages 43-53.
    17. Krauß, Michael & Kraatz, Simone & Drastig, Katrin & Prochnow, Annette, 2015. "The influence of dairy management strategies on water productivity of milk production," Agricultural Water Management, Elsevier, vol. 147(C), pages 175-186.
    18. Popova, Zornitsa & Pereira, Luis S., 2011. "Modelling for maize irrigation scheduling using long term experimental data from Plovdiv region, Bulgaria," Agricultural Water Management, Elsevier, vol. 98(4), pages 675-683, February.
    19. van Halsema, Gerardo E. & Vincent, Linden, 2012. "Efficiency and productivity terms for water management: A matter of contextual relativism versus general absolutism," Agricultural Water Management, Elsevier, vol. 108(C), pages 9-15.
    20. Marcos, Mathias & Sharifi, Hussain & Grattan, Stephen R. & Linquist, Bruce A., 2018. "Spatio-temporal salinity dynamics and yield response of rice in water-seeded rice fields," Agricultural Water Management, Elsevier, vol. 195(C), pages 37-46.

    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:spr:waterr:v:26:y:2012:i:4:p:997-1014. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.