Modélisation de la température du sol avec un bilan d’énergie, application à la prédiction de l’émergence du maïs (Zea mais)

Abstract : The beginning of crop growth is influenced by soil temperature and water content near the surface. We have developed a model that predicts the local temperature and water content surrounding the seed using easily available meteorological data. Our global sensitivity analysis helped us identify the components of the model with the largest contribution to the output uncertainty. After calibration, the model showed less than 10 % relative error for temperature and water content at 30 cm. In standard sowing conditions in north-western Switzerland, the emergence was better predicted when using our simulated seed bed temperature than air temperature, the classical proxy variable. Combining the emergence model with soil temperature simulation, an accurate prediction of emergence was achieved. This work is an example of applying complex biophysics model for understanding an agronomic problem. The results of this work will participate in optimising breeding efforts for cold-tolerant crop varieties. Future investigations should consider a finer modelling of processes for evaporation and emergence.
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Etienne Claverie. Modélisation de la température du sol avec un bilan d’énergie, application à la prédiction de l’émergence du maïs (Zea mais). Autre. Université Paris-Saclay, 2018. Français. ⟨NNT : 2018SACLC028⟩. ⟨tel-02003496⟩

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