IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v290y2014icp21-33.html
   My bibliography  Save this article

SUNLAB: A functional–structural model for genotypic and phenotypic characterization of the sunflower crop

Author

Listed:
  • Kang, Fenni
  • Cournède, Paul-Henry
  • Lecoeur, Jérémie
  • Letort, Véronique

Abstract

A new functional–structural model SUNLAB for the crop sunflower (Helianthus annuus L.) was developed. It is dedicated to simulate the sunflower organogenesis, morphogenesis, biomass accumulation and biomass partitioning to organs. It is adapted to model phenotypic responses of different genotypic variants to diverse environmental factors including temperature stress and water deficit. A sensitivity analysis was conducted to quantify the relative parameter influences on the main trait of interest, the grain yield. The model was calibrated for four genotypes on two experimental datasets collected on plants grown under standard non-limiting conditions and moderate water stress. Its predictive ability was then tested on an additional dataset. The four considered genotypes – “Albena”, “Melody”, “Heliasol” and “Prodisol” – are the products of more than 30 years of breeding effort. Comparing the values found for the four parameter sets associated to each variant, allows to identify genotype-specific parameters. The model also provides a novel way of investigating genotype performances under different environmental conditions. These promising results are a first step toward the potential use of the model as a support tool to design sunflower ideotypes adapted to the current worldwide ecological and economical challenges and to assist the breeding procedure.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ecomod:v:290:y:2014:i:c:p:21-33
    DOI: 10.1016/j.ecolmodel.2014.02.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030438001400091X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2014.02.006?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. Xu, C. & Gertner, G., 2007. "Extending a global sensitivity analysis technique to models with correlated parameters," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 5579-5590, August.
    2. 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.
    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.
    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. 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. 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. 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.
    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. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Zhai, Qingqing & Yang, Jun & Zhao, Yu, 2014. "Space-partition method for the variance-based sensitivity analysis: Optimal partition scheme and comparative study," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 66-82.
    11. 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).
    12. Song, Xiaodong & Bryan, Brett A. & Almeida, Auro C. & Paul, Keryn I. & Zhao, Gang & Ren, Yin, 2013. "Time-dependent sensitivity of a process-based ecological model," Ecological Modelling, Elsevier, vol. 265(C), pages 114-123.
    13. Jung, WoongHee & Taflanidis, Alexandros A., 2023. "Efficient global sensitivity analysis for high-dimensional outputs combining data-driven probability models and dimensionality reduction," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    14. 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.
    15. Wei, Pengfei & Lu, Zhenzhou & Song, Jingwen, 2015. "Variable importance analysis: A comprehensive review," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 399-432.
    16. 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.
    17. Gilardelli, Carlo & Confalonieri, Roberto & Cappelli, Giovanni Alessandro & Bellocchi, Gianni, 2018. "Sensitivity of WOFOST-based modelling solutions to crop parameters under climate change," Ecological Modelling, Elsevier, vol. 368(C), pages 1-14.
    18. Xu, Chonggang & Gertner, George Zdzislaw, 2008. "A general first-order global sensitivity analysis method," Reliability Engineering and System Safety, Elsevier, vol. 93(7), pages 1060-1071.
    19. Plischke, Elmar & Borgonovo, Emanuele & Smith, Curtis L., 2013. "Global sensitivity measures from given data," European Journal of Operational Research, Elsevier, vol. 226(3), pages 536-550.
    20. Alvaro Calzadilla & Katrin Rehdanz & Richard S.J. Tol, 2008. "The Eonomic Impact Of More Sustainable Water Use In Agriculture: A Computable General Equilibrium Analysis," Working Papers FNU-169, Research unit Sustainability and Global Change, Hamburg University, revised Dec 2008.

    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:ecomod:v:290:y:2014:i:c:p:21-33. 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.journals.elsevier.com/ecological-modelling .

    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.