IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v250y2013icp258-268.html
   My bibliography  Save this article

A systematic approach for re-assembly of crop models: An example to simulate pea growth from wheat growth

Author

Listed:
  • Adam, M.
  • Wery, J.
  • Leffelaar, P.A.
  • Ewert, F.
  • Corbeels, M.
  • Van Keulen, H.

Abstract

The process of crop modelling to develop operational software requires different skills, from conceptualization of the biophysical system to computer programming, involving three main scientific disciplines: agronomy, mathematics, and software engineering. Model building implies transforming a conceptual model into sets of mathematical equations and then translating these equations into a computer program. Although recent crop modelling frameworks can technically support model building, the modelling process is not always well documented and difficult to repeat. The focus of this paper is therefore on developing and documenting an approach to re-assemble crop models, i.e. develop a new model from an existing one, using a crop modelling framework and crop physiological knowledge. Modifications to an initial crop model were classified according to three categories: (i) changes in parameter values, (ii) changes in equations, and (iii) changes in overall model structure. We illustrate the approach with a case study transforming a wheat crop model into a pea crop model. We discuss the role of each actor in the process to document diverse uncertainties related to the model (i.e. contextual situation, data, structure), and the general applicability of the approach for different crop modelling frameworks. We conclude that the use of our approach to re-assemble a crop model within a modelling framework facilitates integration of different disciplines around a modelling objective, and facilitates creating transparent and reproducible models.

Suggested Citation

  • Adam, M. & Wery, J. & Leffelaar, P.A. & Ewert, F. & Corbeels, M. & Van Keulen, H., 2013. "A systematic approach for re-assembly of crop models: An example to simulate pea growth from wheat growth," Ecological Modelling, Elsevier, vol. 250(C), pages 258-268.
    • Handle: RePEc:eee:ecomod:v:250:y:2013:i:c:p:258-268
    DOI: 10.1016/j.ecolmodel.2012.10.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380012005145
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2012.10.012?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. 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.
    2. Adam, M. & Van Bussel, L.G.J. & Leffelaar, P.A. & Van Keulen, H. & Ewert, F., 2011. "Effects of modelling detail on simulated potential crop yields under a wide range of climatic conditions," Ecological Modelling, Elsevier, vol. 222(1), pages 131-143.
    3. Bouman, B. A. M. & van Keulen, H. & van Laar, H. H. & Rabbinge, R., 1996. "The `School of de Wit' crop growth simulation models: A pedigree and historical overview," Agricultural Systems, Elsevier, vol. 52(2-3), pages 171-198.
    4. Rizzoli, Andrea E. & Donatelli, Marcello & Athanasiadis, Ioannis N. & Villa, Ferdinando & Huber, David, 2008. "Semantic links in integrated modelling frameworks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 412-423.
    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. Pogson, Mark, 2011. "Modelling Miscanthus yields with low resolution input data," Ecological Modelling, Elsevier, vol. 222(23), pages 3849-3853.
    2. Jing, Qi & Keulen, Herman van & Hengsdijk, Huib, 2010. "Modeling biomass, nitrogen and water dynamics in rice-wheat rotations," Agricultural Systems, Elsevier, vol. 103(7), pages 433-443, September.
    3. Gupta, Rishabh & Mishra, Ashok, 2019. "Climate change induced impact and uncertainty of rice yield of agro-ecological zones of India," Agricultural Systems, Elsevier, vol. 173(C), pages 1-11.
    4. Chauhdary, Junaid Nawaz & Bakhsh, Allah & Engel, Bernard A. & Ragab, Ragab, 2019. "Improving corn production by adopting efficient fertigation practices: Experimental and modeling approach," Agricultural Water Management, Elsevier, vol. 221(C), pages 449-461.
    5. Lescourret, F. & Blecher, N. & Habib, R. & Chadoeuf, J. & Agostini, D. & Pailly, O. & Vaissiere, B. & Poggi, I., 1999. "Development of a simulation model for studying kiwi fruit orchard management," Agricultural Systems, Elsevier, vol. 59(2), pages 215-239, February.
    6. Anshuman Gunawat & Devesh Sharma & Aditya Sharma & Swatantra Kumar Dubey, 2022. "Assessment of climate change impact and potential adaptation measures on wheat yield using the DSSAT model in the semi-arid environment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(2), pages 2077-2096, March.
    7. Confalonieri, Roberto & Acutis, Marco & Bellocchi, Gianni & Donatelli, Marcello, 2009. "Multi-metric evaluation of the models WARM, CropSyst, and WOFOST for rice," Ecological Modelling, Elsevier, vol. 220(11), pages 1395-1410.
    8. Lu, Yang & Chibarabada, Tendai P. & Ziliani, Matteo G. & Onema, Jean-Marie Kileshye & McCabe, Matthew F. & Sheffield, Justin, 2021. "Assimilation of soil moisture and canopy cover data improves maize simulation using an under-calibrated crop model," Agricultural Water Management, Elsevier, vol. 252(C).
    9. Utset, Angel & Velicia, Herminio & del Rio, Blanca & Morillo, Rodrigo & Centeno, Jose Antonio & Martinez, Juan Carlos, 2007. "Calibrating and validating an agrohydrological model to simulate sugarbeet water use under mediterranean conditions," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 11-21, December.
    10. 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.
    11. Timsina, J. & Wolf, J. & Guilpart, N. & van Bussel, L.G.J. & Grassini, P. & van Wart, J. & Hossain, A. & Rashid, H. & Islam, S. & van Ittersum, M.K., 2018. "Can Bangladesh produce enough cereals to meet future demand?," Agricultural Systems, Elsevier, vol. 163(C), pages 36-44.
    12. Paleari, Livia & Movedi, Ermes & Zoli, Michele & Burato, Andrea & Cecconi, Irene & Errahouly, Jabir & Pecollo, Eleonora & Sorvillo, Carla & Confalonieri, Roberto, 2021. "Sensitivity analysis using Morris: Just screening or an effective ranking method?," Ecological Modelling, Elsevier, vol. 455(C).
    13. Chauhdary, Junaid Nawaz & Li, Hong & Akbar, Nadeem & Javaid, Maria & Rizwan, Muhammad & Akhlaq, Muhammad, 2024. "Evaluating corn production under different plant spacings through integrated modeling approach and simulating its future response under climate change scenarios," Agricultural Water Management, Elsevier, vol. 293(C).
    14. Kadiyala, M.D.M. & Jones, J.W. & Mylavarapu, R.S. & Li, Y.C. & Reddy, M.D., 2015. "Identifying irrigation and nitrogen best management practices for aerobic rice–maize cropping system for semi-arid tropics using CERES-rice and maize models," Agricultural Water Management, Elsevier, vol. 149(C), pages 23-32.
    15. Timsina, J. & Buresh, R.J. & Dobermann, A. & Dixon, J. (ed.), 2011. "Rice-maize systems in Asia: current situation and potential," IRRI Books, International Rice Research Institute (IRRI), number 164490.
    16. Malik, Wafa & Dechmi, Farida, 2019. "DSSAT modelling for best irrigation management practices assessment under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 216(C), pages 27-43.
    17. Britz, Wolfgang & van Ittersum, Martin K. & Oude Lansink, Alfons G.J.M. & Heckelei, Thomas, 2012. "Tools for Integrated Assessment in Agriculture. State of the Art and Challenges," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(2), pages 1-26, August.
    18. Lutz, Femke & Stoorvogel, Jetse J. & Müller, Christoph, 2019. "Options to model the effects of tillage on N2O emissions at the global scale," Ecological Modelling, Elsevier, vol. 392(C), pages 212-225.
    19. Kothari, Kritika & Ale, Srinivasulu & Bordovsky, James P. & Thorp, Kelly R. & Porter, Dana O. & Munster, Clyde L., 2019. "Simulation of efficient irrigation management strategies for grain sorghum production over different climate variability classes," Agricultural Systems, Elsevier, vol. 170(C), pages 49-62.
    20. Salembier, Chloé & Segrestin, Blanche & Berthet, Elsa & Weil, Benoît & Meynard, Jean-Marc, 2018. "Genealogy of design reasoning in agronomy: Lessons for supporting the design of agricultural systems," Agricultural Systems, Elsevier, vol. 164(C), pages 277-290.

    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:250:y:2013:i:c:p:258-268. 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.