Guillaume Jégo

Chercheur scientifique

Modélisation des agro-écosystèmes

Agriculture et Agroalimentaire Canada

Recherche et / ou projets en cours

  • Adaptation du modèle de culture STICS pour la simulation de la croissance et de la valeur nutritive des cultures fourragères pérennes (Fléole des prés et luzerne) dans l’est du Canada
  • Adaptation du modèle IFSM (Integrated Farm System Model) pour la simulation du fonctionnement agronomique, environnemental et économique des fermes laitières du Canada.
  • Assimilation de données de télédétection dans les modèles de culture pour la prédiction régionale des rendements
  • Amélioration des prédictions des modèles de culture en conditions hivernales (couvert de neige, température et humidité du sol, émissions de N2O)
  • Évaluation par modélisation de l’impact des changements climatiques sur les cultures fourragères et le bilan agro-environnemental des fermes laitières

Principales publications

Pour une liste complète de publications, visitez : AAC en ligne

Duchemin, M., Jégo, G., and Morissette, R. 2019. Simulating switchgrass aboveground biomass and production costs in eastern Canada with the integrated farm system model. Can. J. Plant Sci. 99(6): 785-800.

He, W., Grant, B.B., Smith, W.N., VanderZaag, A.C., Piquette, S., Qian, B., Jing, Q., Rennie, T.J., Bélanger, G., Jégo, G., and Deen, B. 2019. Assessing alfalfa production under historical and future climate in eastern Canada: DNDC model development and application. Environmental Modelling and Software 122.

Persson, T, Höglind, M, Van Oijen, M, Korhonen P, Palosuo, T, Jégo, G, Virkajärvi, P, Bélanger, G, Gustavsson, A.-M. 2019. Simulation of timothy nutritive value: A comparison of three process-based models. Field Crops Research, 231, p. 81-92

Korhonen, P., Palosuo, T., Persson, T., Höglind, M., Jégo, G., Van Oijen, M., Gustavsson, A.M., Bélanger, G., and Virkajärvi, P. 2018. Modelling grass yields in northern climates – a comparison of three growth models for timothy. Field Crops Res. 224: 37-47.

Baral, K.R., Jégo, G., Amon, B., Bol, R., Chantigny, M.H., Olesen, J.E., and Petersen, S.O. 2018. Greenhouse gas emissions during storage of manure and digestates: Key role of methane for prediction and mitigation. Agric. Sys. 166: 26-35.

Mesbah, M., Pattey, E., Jégo, G., Didier, A., Geng, X., Tremblay, N., and Zhang, F. 2018. New model-based insights for strategic nitrogen recommendations adapted to given soil and climate. Agron. Sustain. Dev. 38(4).

Jing Q, Jégo G, Bélanger G, Chantigny M, Rochette P. 2017. Simulation of water and nitrogen balances in a perennial forage system using the STICS model. Field Crops Research, vol. 201, p10-18.

Jing, Q., B. Qian, J. Shang, T. Huffman, J. Liu, E. Pattey, T. Dong, N. Tremblay, C. F. Drury, B. Ma, G. Jégo, X. Jiao, J. Kovacs, D. Walters, and J. Wang. 2017. Assessing the Options to Improve Regional Wheat Yield in Eastern Canada Using the CSM–CERES–Wheat Model. Agron. J. 109:510-523.

Jégo, G., Thibodeau, F., Morissette, R., Crépeau, M., Claessens, A., Savoie, P. 2017. Estimating the yield potential of short-rotation willow in Canada using the 3PG model.  Canadian Journal of Forest Research, 47(5), 636-647.

Jing, Q., Huffman, T., Shang, J., Liu, J., Pattey, E., Morrison, M., Jégo, G., Qian, B. 2017. Modelling soybean yield responses to seeding date under projected climate change scenarios. Canadian Journal of Plant Science, 97(6), 1152-1164.

Thivierge, M-N, Jégo, G., Bélanger, G., Chantigny, M.H., Rotz, A., Charbonneau, E., Baron, V.S., Qian, B. 2017. Projecting trends in the agronomic, economic, and environmental performance of Canadian dairy farms under future climate conditions. Agricultural Systems, 157, 241-257.

Mesbah, M., Pattey, E., Jégo G. 2017. A methodology to derive optimum nitrogen rates for rainfed crops using crop models - A case study for corn using STICS in Canada. Computers and Electronics in Agriculture, 142, 572-584 

Guest G., Kröbel R., Grant B., Smith W., Sansoulet J., Pattey E., Desjardins R., Jégo G., Tremblay N., Tremblay G. 2017. An evaluation of soil processes in eastern Canada using DayCent, DNDC and STICS. Submitted to Nutrient Cycling in Agroecosystems, 109(3), 211-232.

Thivierge, M.-N., Jégo, G., Bélanger, G., Bertrand, A., Tremblay, G.F., Rotz, C.A., Qian, B., 2016. Predicted Yield and Nutritive Value of an AlfalfaTimothy Mixture under Climate Change and Elevated Atmospheric Carbon Dioxide. Agron. J. 108 (2), 585-603.

Morissette, R., G. Jégo, G. Bélanger, A. N. Cambouris, J. Nyiraneza, and B. J. Zebarth. 2016. Simulating potato growth and nitrogen uptake in Eastern Canada with the STICS model. Agronomy Journal 108:1853-1868. doi:10.2134/agronj2016.02.0112

Jégo, G., Rotz, A., Bélanger, G., Tremblay, G., Charbonneau, É., Pellerin, D., 2015. Simulating forage crop production in a northern climate with the Integrated Farm System Model.  Can. J. Plant Sci. vol 95 (4) p. 745-757.

Jégo, G., Pattey, E., Morteza Mesbah, S., Liu, J., Duchesne, I., 2015. Impact of the spatial resolution of climatic data and soil physical properties on regional corn yield predictions using the STICS crop model. International Journal of Applied Earth Observation and Geoinformation 41, 11-22.

Jégo, G., Chantigny, M., Pattey, E., Bélanger, G., Rochette, P., Vanasse, A., Goyer, C., 2014. Improved snow-cover model for multi-annual simulations with the STICS crop model under cold, humid continental climates. Agric. For. Meteorol. 195-196, 38-51.

Niang, M.A., Nolin, M.C., Jégo, G., Perron, I., 2014. Digital mapping of soil texture using radarsat-2 polarimetric synthetic aperture radar data. Soil Sci. Soc. Am. J. 78, 673-684.

Sansoulet, J., Pattey, E., Kröbel, R., Grant, B., Smith, W., Jégo, G., Desjardins, R.L., Tremblay, N., Tremblay, G., 2014. Comparing the performance of the STICS, DNDC, and DayCent models for predicting N uptake and biomass of spring wheat in Eastern Canada. Field Crops Res. 156, 135-150.

Jégo, G., Bélanger, G., Tremblay, G.F., Jing, Q., Baron, V.S., 2013. Calibration and performance evaluation of the STICS crop model for simulating timothy growth and nutritive value. Field Crops Res. 151, 65-77.

Jégo, G., Sánchez-Pérez, J.M., and Justes, E. 2012. Predicting soil water and mineral nitrogen contents with the STICS model for estimating nitrate leaching under agricultural fields. Agricultural Water Management, 107, pp. 54-65.

Liu, J., Pattey, E., and Jégo, G. 2012. Assessment of vegetation indices for regional crop green LAI estimation from Landsat images over multiple growing seasons. Remote Sensing of Environment, 123, pp. 347-358.

Jégo, G., Pattey, E., and Liu, J. 2012. Using Leaf Area Index, retrieved from optical imagery, in the STICS crop model for predicting yield and biomass of field crops. Field Crops Research, 131, pp. 63-74.