IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v96y2009i5p757-770.html
   My bibliography  Save this article

Adapting PILOTE model for water and yield management under direct seeding system: The case of corn and durum wheat in a Mediterranean context

Author

Listed:
  • Khaledian, M.R.
  • Mailhol, J.C.
  • Ruelle, P.
  • Rosique, P.

Abstract

Crop models are useful tools for integrating knowledge of biophysical processes governing the plant-soil-atmosphere system. But few of them are easily usable for water and yield management especially under specific cropping systems such as direct seeding. Direct seeding into mulch (DSM) is an alternative for conventional tillage (CT). DSM modifies soil properties and creates a different microclimate from CT. So that, we should consequently consider these new conditions to develop or to adapt models. The aim of this study was to calibrate and validate the PILOTE [Mailhol, J.C., Olufayo, A.A., Ruelle, P., 1997. Sorghum and sunflower evapotranspiration and yield from simulated leaf area index. Agric. Water Manag. 35, 167-182; Mailhol, J.C., Zari A., Slatni A., Ben Nouma, B., El Amami, H., 2004. Analysis of irrigation systems and irrigation strategies for durum wheat in Tunisia. Agric. Water Manag. 70, 19-37], an operative crop model based on the leaf area index (LAI) simulation, for corn and durum wheat in both DSM and CT systems in Mediterranean climate. In DSM case, simple model modifications were proposed. This modified PILOTE version accounts for mulch and its impact on soil evaporation. In addition root progression was modified to account for lower soil temperatures in DSM for winter crops. PILOTE was calibrated and validated against field data collected from a 7-year trial at the experimental station of Lavalette (SE of France). Results indicated that PILOTE satisfactorily simulates LAI, soil water reserve (SWR), grain yield, and dry matter yield in both systems. The minimum coefficient of efficiency for SWR was 0.90. This new version of PILOTE can thus be used to manage water and yield under CT and DSM systems in Mediterranean climate.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:agiwat:v:96:y:2009:i:5:p:757-770
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378-3774(08)00281-3
    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. 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.
    2. Andales, A. A. & Batchelor, W. D. & Anderson, C. E. & Farnham, D. E. & Whigham, D. K., 2000. "Incorporating tillage effects into a soybean model," Agricultural Systems, Elsevier, vol. 66(2), pages 69-98, November.
    3. Olufayo, A. & Baldy, C. & Ruelle, P., 1996. "Sorghum yield, water use and canopy temperatures under different levels of irrigation," Agricultural Water Management, Elsevier, vol. 30(1), pages 77-90, March.
    4. Mailhol, J. C. & Zairi, A. & Slatni, A. & Ben Nouma, B. & El Amani, H., 2004. "Analysis of irrigation systems and irrigation strategies for durum wheat in Tunisia," Agricultural Water Management, Elsevier, vol. 70(1), pages 19-37, October.
    5. Ruelle, Pierre & Mailhol, Jean-Claude & Quinones, Hector & Granier, Jacques, 2003. "Using NIWASAVE to simulate impacts of irrigation heterogeneity on yield and nitrate leaching when using a travelling rain gun system in a shallow soil context in Charente (France)," Agricultural Water Management, Elsevier, vol. 63(1), pages 15-35, November.
    6. Jongschaap, Raymond E.E., 2007. "Sensitivity of a crop growth simulation model to variation in LAI and canopy nitrogen used for run-time calibration," Ecological Modelling, Elsevier, vol. 200(1), pages 89-98.
    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. 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. 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.
    3. 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.
    4. 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.
    5. Surendran, U. & Madhava Chandran, K., 2022. "Development and evaluation of drip irrigation and fertigation scheduling to improve water productivity and sustainable crop production using HYDRUS," Agricultural Water Management, Elsevier, vol. 269(C).
    6. Shi, Jianchu & Wu, Xun & Zhang, Mo & Wang, Xiaoyu & Zuo, Qiang & Wu, Xiaoguang & Zhang, Hongfei & Ben-Gal, Alon, 2021. "Numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency," Agricultural Water Management, Elsevier, vol. 248(C).
    7. 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.
    8. 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.
    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. 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).
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.

    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. 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.
    2. Kang, Fenni & Cournède, Paul-Henry & Lecoeur, Jérémie & Letort, Véronique, 2014. "SUNLAB: A functional–structural model for genotypic and phenotypic characterization of the sunflower crop," Ecological Modelling, Elsevier, vol. 290(C), pages 21-33.
    3. 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.
    4. Hartzell, Samantha & Bartlett, Mark S. & Porporato, Amilcare, 2018. "Unified representation of the C3, C4, and CAM photosynthetic pathways with the Photo3 model," Ecological Modelling, Elsevier, vol. 384(C), pages 173-187.
    5. N. Dercas & A. Liakatas, 2007. "Water and Radiation Effect on Sweet Sorghum Productivity," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(9), pages 1585-1600, September.
    6. 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.
    7. Calzadilla, Alvaro & Rehdanz, Katrin & Tol, Richard S.J., 2008. "Water scarcity and the impact of improved irrigation management: A CGE analysis," Conference papers 331788, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    8. 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.
    9. Wu, Lin & Le Dimet, François-Xavier & de Reffye, Philippe & Hu, Bao-Gang & Cournède, Paul-Henry & Kang, Meng-Zhen, 2012. "An optimal control methodology for plant growth—Case study of a water supply problem of sunflower," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(5), pages 909-923.
    10. 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.
    11. Battude, Marjorie & Al Bitar, Ahmad & Brut, Aurore & Tallec, Tiphaine & Huc, Mireille & Cros, Jérôme & Weber, Jean-Jacques & Lhuissier, Ludovic & Simonneaux, Vincent & Demarez, Valérie, 2017. "Modeling water needs and total irrigation depths of maize crop in the south west of France using high spatial and temporal resolution satellite imagery," Agricultural Water Management, Elsevier, vol. 189(C), pages 123-136.
    12. Liu, Lining & Wang, Tianshu & Wang, Lichun & Wu, Xun & Zuo, Qiang & Shi, Jianchu & Sheng, Jiandong & Jiang, Pingan & Chen, Quanjia & Ben-Gal, Alon, 2022. "Plant water deficit index-based irrigation under conditions of salinity," Agricultural Water Management, Elsevier, vol. 269(C).
    13. Palatnik, Ruslana & Shechter, Mordechai, 2008. "Can Climate Change Mitigation Policy be Beneficial for the Israeli Economy? A Computable General Equilibrium Analysis," Conference papers 331792, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    14. Fan, Tinglu & Wang, Shuying & Xiaoming, Tang & Luo, Junjie & Stewart, Bob A. & Gao, Yufeng, 2005. "Grain yield and water use in a long-term fertilization trial in Northwest China," Agricultural Water Management, Elsevier, vol. 76(1), pages 36-52, July.
    15. 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.
    16. Marenya, Paswel P. & Erenstein, Olaf & Prasanna, Boddupalli & Makumbi, Dan & Jumbo, MacDonald & Beyene, Yoseph, 2018. "Maize lethal necrosis disease: Evaluating agronomic and genetic control strategies for Ethiopia and Kenya," Agricultural Systems, Elsevier, vol. 162(C), pages 220-228.
    17. Mabhaudhi, Tafadzwanashe & Dirwai, Tinashe Lindel & Taguta, Cuthbert & Sikka, Alok & Lautze, Jonathan, 2023. "Mapping Decision Support Tools (DSTs) on agricultural water productivity: A global systematic scoping review," Agricultural Water Management, Elsevier, vol. 290(C).
    18. Baey, Charlotte & Didier, Anne & Lemaire, Sébastien & Maupas, Fabienne & Cournède, Paul-Henry, 2014. "Parametrization of five classical plant growth models applied to sugar beet and comparison of their predictive capacity on root yield and total biomass," Ecological Modelling, Elsevier, vol. 290(C), pages 11-20.
    19. Si Mokrane Siad & Andrea Gioia & Gerrit Hoogenboom & Vito Iacobellis & Antonio Novelli & Eufemia Tarantino & Pandi Zdruli, 2017. "Durum Wheat Cover Analysis in the Scope of Policy and Market Price Changes: A Case Study in Southern Italy," Agriculture, MDPI, vol. 7(2), pages 1-20, February.
    20. Timsina, J. & Humphreys, E., 2006. "Performance of CERES-Rice and CERES-Wheat models in rice-wheat systems: A review," Agricultural Systems, Elsevier, vol. 90(1-3), pages 5-31, October.

    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:757-770. 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.