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

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. Hester, Susan M. & Cacho, Oscar, 2003. "Modelling apple orchard systems," Agricultural Systems, Elsevier, vol. 77(2), pages 137-154, August.
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    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.

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