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

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  • M.R. Khaledian

    (UMR G-EAU - Gestion de l'Eau, Acteurs, Usages - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - AgroParisTech - CEMAGREF - Centre national du machinisme agricole, du génie rural, des eaux et forêts - IRD [France-Sud] - Institut de Recherche pour le Développement - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes)

  • J.C. Mailhol

    (UMR G-EAU - Gestion de l'Eau, Acteurs, Usages - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - AgroParisTech - CEMAGREF - Centre national du machinisme agricole, du génie rural, des eaux et forêts - IRD [France-Sud] - Institut de Recherche pour le Développement - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes)

  • P. Ruelle

    (UMR G-EAU - Gestion de l'Eau, Acteurs, Usages - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - AgroParisTech - CEMAGREF - Centre national du machinisme agricole, du génie rural, des eaux et forêts - IRD [France-Sud] - Institut de Recherche pour le Développement - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes)

  • J.L. Rosique

    (UMR G-EAU - Gestion de l'Eau, Acteurs, Usages - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - AgroParisTech - CEMAGREF - Centre national du machinisme agricole, du génie rural, des eaux et forêts - IRD [France-Sud] - Institut de Recherche pour le Développement - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes)

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., Zaïri 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

  • 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.
    • Handle: RePEc:hal:journl:hal-00454543
    DOI: 10.1016/j.agwat.2008.10.011
    Note: View the original document on HAL open archive server: https://hal.science/hal-00454543
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
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