IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v329y2016icp86-99.html
   My bibliography  Save this article

Development and evaluation of new modelling solutions to simulate hazelnut (Corylus avellana L.) growth and development

Author

Listed:
  • Bregaglio, Simone
  • Orlando, Francesca
  • Forni, Emanuela
  • De Gregorio, Tommaso
  • Falzoi, Simone
  • Boni, Chiara
  • Pisetta, Michele
  • Confalonieri, Roberto

Abstract

The worldwide increase in the hazelnut demand and cultivated area are explained by the rising importance of this species for the food industry. However, no simulation models are available to support the analysis of the impact of environmental conditions and management practices on hazelnut production. This paper presents two modelling solutions to simulate hazelnut tree growth and development under potential and water-limiting conditions, partly based on generic approaches used in tree modelling and on new modules specifically developed to address hazelnut tree peculiarities. The two solutions differed in the simulation of the photosynthetic rate, in one case reproduced using a Farquhar-type model (gross photosynthesis), whereas a radiation use efficiency approach (net photosynthesis) was used in the other. The coherence of simulation outputs at leaf, organ and plant level and the models responsiveness to weather conditions was verified and discussed with literature data, and the performances of the modelling solutions were evaluated using experimental data collected between 2002 and 2013 growing seasons in Piedmont region (northern Italy). Results highlighted the reliability of both the solutions in reproducing phenological development (mean relative root mean squared error, RRMSE=8.61%), as well as the time trend of specific leaf area (RRMSE=26.32%) and leaf area index (RRMSE=18.46%). Also, the simulation of the temporal dynamics of soil water content and temperature along the soil profile led to outputs very close to observations (RRMSE=14.02% and 10.32%, respectively). The solution based on gross photosynthesis resulted slightly more accurate in reproducing the year-to-year fluctuation in yields (RRMSE=25.03%) compared to the one based on net photosynthesis (RRMSE=30.40%). These results proved the suitability of these modelling solutions to be used as simulation engines within a variety of applications, ranging from decision support systems for the management of the orchard to complex yield forecasting systems.

Suggested Citation

  • Bregaglio, Simone & Orlando, Francesca & Forni, Emanuela & De Gregorio, Tommaso & Falzoi, Simone & Boni, Chiara & Pisetta, Michele & Confalonieri, Roberto, 2016. "Development and evaluation of new modelling solutions to simulate hazelnut (Corylus avellana L.) growth and development," Ecological Modelling, Elsevier, vol. 329(C), pages 86-99.
    • Handle: RePEc:eee:ecomod:v:329:y:2016:i:c:p:86-99
    DOI: 10.1016/j.ecolmodel.2016.03.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380016300655
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2016.03.006?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. 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.
    2. Hester, Susan M. & Cacho, Oscar, 2003. "Modelling apple orchard systems," Agricultural Systems, Elsevier, vol. 77(2), pages 137-154, August.
    3. Olsson, Cecilia & Bolmgren, Kjell & Lindström, Johan & Jönsson, Anna Maria, 2013. "Performance of tree phenology models along a bioclimatic gradient in Sweden," Ecological Modelling, Elsevier, vol. 266(C), pages 103-117.
    4. L. Paleari & G. Cappelli & S. Bregaglio & M. Acutis & M. Donatelli & G. Sacchi & E. Lupotto & M. Boschetti & G. Manfron & R. Confalonieri, 2015. "District specific, in silico evaluation of rice ideotypes improved for resistance/tolerance traits to biotic and abiotic stressors under climate change scenarios," Climatic Change, Springer, vol. 132(4), pages 661-675, October.
    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. Jha, Prakash K. & Materia, Stefano & Zizzi, Giovanni & Costa-Saura, Jose Maria & Trabucco, Antonio & Evans, Jason & Bregaglio, Simone, 2021. "Climate change impacts on phenology and yield of hazelnut in Australia," Agricultural Systems, Elsevier, vol. 186(C).
    2. Bregaglio, Simone & Giustarini, Laura & Suarez, Eloy & Mongiano, Gabriele & De Gregorio, Tommaso, 2020. "Analysing the behaviour of a hazelnut simulation model across growing environments via sensitivity analysis and automatic calibration," Agricultural Systems, Elsevier, vol. 181(C).
    3. Attorre, F. & Sciubba, E. & Vitale, M., 2019. "A thermodynamic model for plant growth, validated with Pinus sylvestris data," Ecological Modelling, Elsevier, vol. 391(C), pages 53-62.

    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. Cook, David & Carrasco, Luis Roman & Paini, Dean & Fraser, Rob, 2011. "Estimating the social welfare effects of New Zealand apple imports," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(4), pages 1-22.
    2. Cittadini, E.D. & Lubbers, M.T.M.H. & de Ridder, N. & van Keulen, H. & Claassen, G.D.H., 2008. "Exploring options for farm-level strategic and tactical decision-making in fruit production systems of South Patagonia, Argentina," Agricultural Systems, Elsevier, vol. 98(3), pages 189-198, October.
    3. Dorey, Elodie & Cambournac, Tiphaine & Michels, Thierry & Rothe, Marie & Tixier, Philippe, 2018. "Designing new management sequences for pineapple production using the SIMPIÑA model," Agricultural Systems, Elsevier, vol. 159(C), pages 50-56.
    4. Soto-Silva, Wladimir E. & Nadal-Roig, Esteve & González-Araya, Marcela C. & Pla-Aragones, Lluis M., 2016. "Operational research models applied to the fresh fruit supply chain," European Journal of Operational Research, Elsevier, vol. 251(2), pages 345-355.
    5. Lucca Zachmann & Chloe McCallum & Robert Finger, 2024. "Spraying for the beauty: Pesticide use for visual appearance in apple production," Agricultural Economics, International Association of Agricultural Economists, vol. 55(4), pages 621-638, July.
    6. Wenbo Zhang & Wilbert Wilhelm, 2011. "OR/MS decision support models for the specialty crops industry: a literature review," Annals of Operations Research, Springer, vol. 190(1), pages 131-148, October.
    7. Nairanjana Dasgupta & Monte J. Shaffer, 2012. "Many-to-one comparison of nonlinear growth curves for Washington's Red Delicious apple," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(8), pages 1781-1795, April.
    8. Olsson, Cecilia & Jönsson, Anna Maria, 2015. "A model framework for tree leaf colouring in Europe," Ecological Modelling, Elsevier, vol. 316(C), pages 41-51.
    9. Nesme, Thomas & Brisson, Nadine & Lescourret, Francoise & Bellon, Stephane & Crete, Xavier & Plenet, Daniel & Habib, Robert, 2006. "Epistics: A dynamic model to generate nitrogen fertilisation and irrigation schedules in apple orchards, with special attention to qualitative evaluation of the model," Agricultural Systems, Elsevier, vol. 90(1-3), pages 202-225, October.
    10. Fatima Lambarraa & Spiro Stefanou & José M. Gil, 2016. "The analysis of irreversibility, uncertainty and dynamic technical inefficiency on the investment decision in the Spanish olive sector," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(1), pages 59-77.

    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:329:y:2016:i:c:p:86-99. 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.