Qi Jing, Ph.D.

Image JingQi
Chercheur en science physique

à réaliser des recherches liées aux effets du climat sur l’agriculture et la santé de l’environnement par la modélisation.

Recherche et / ou projets en cours

Durabilité de la production culturale au Canada dans le contexte des changements climatiques

Énoncés de recherches/projets

Les travaux proposés comblent de nombreuses lacunes en ce qui a trait à la durabilité de la production culturale face aux changements climatiques.

Activités professionnelles / intérêts

Modélisation des systèmes sol-plante pour les cultures annuelles et vivaces

Lien entre la télédétection et la modélisation des cultures

Effet des changements climatiques sur les systèmes agricoles

Écophysiologie des cultures

Gestion des cultures

Prix et études

2003-2007      Université et centre de recherche de Wageningen, Pays-Bas, Ph.D.

1994-2001      Université agricole de Nanjing, Chine, B.Sc. et M.Sc.

Expérience et / ou de travail international

2010-2013, boursier de recherches postdoctorales, Centre de recherche et de développement de Québec, Agriculture et Agroalimentaire Canada.

2008-2010, boursier de recherches postdoctorales, Plant Research International, Université et centre de recherche de Wageningen, Pays-Bas.

Mars-mai 2005, chercheur invité, Institut international de recherches sur le riz (IIRR).

2001-2008, enseignant et chercheur, Université agricole de Nanjing, Chine.

Principales publications

  1. Budong Qian, Ward Smith, Yong Min Kim, Qi Jing, Brian Grant, Guillaume Jego, Scott Duguid, Ken Hester, Alison Nelson (2022) What will projected near-term climate mean for soybeans in Canada? Invited Keynote Speaker, Northern Soybean Summit, (Virtual) Toronto, Ontario, Canada. January 25, 2022..

    2022 - Consulter les détails de la publication

  2. Jing, Q., McConkey, B., Qian, B., Smith, W., Grant, B., Shang, J., Liu, J., Bindraban, P., Luce, M.S. (2021). Assessing water management effects on spring wheat yield in the Canadian Prairies using DSSAT wheat models. Agricultural Water Management, [online] 244 http://dx.doi.org/10.1016/j.agwat.2020.106591

    2021 - Consulter les détails de la publication

  3. Smith, W., Grant, B., Qi, Z., He, W., Qian, B., Jing, Q., VanderZaag, A., Drury, C.F., St. Luce, M., Wagner-Riddle, C. (2020). Towards an improved methodology for modelling climate change impacts on cropping systems in cool climates. Science of the Total Environment, [online] 728 http://dx.doi.org/10.1016/j.scitotenv.2020.138845

    2020 - Consulter les détails de la publication

  4. Qian, B., Jing, Q., Smith, W., Grant, B., Cannon, A.J., Zhang, X. (2020). Quantifying the uncertainty introduced by internal climate variability in projections of Canadian crop production. Environmental Research Letters, [online] 15(7), http://dx.doi.org/10.1088/1748-9326/ab88fc

    2020 - Consulter les détails de la publication

  5. Smith, W., B. Grant, Z. Qi, W. He, B. Qian, Q. Jing, A. VanderZaag, C.F. Drury, M. St Luce, and Claudia Wagner-Riddlee. Towards an improved methodology for modelling climate change impacts on cropping systems. The 54th Congress of the Canadian Meteorological and Oceanographic Society (CMOS), Virtual session, May 27, 2020.

    2020 - Consulter les détails de la publication

  6. Di Ma, Qi Jing, Yue-Ping Xu, Alex J Cannon, Taifeng Dong, Mikhail A Semenov, Budong Qian (2020) The potential of using ensemble-mean climate scenarios for crop yield projection. Abstract, The 54th CMOS Congress, May 24-28, 2020, Ottawa.

    2020 - Consulter les détails de la publication

  7. Budong Qian, Qi Jing, Ward Smith, Brian Grant, Alex Cannon, Xuebin Zhang (2020) Quantifying the uncertainty introduced by internal climate variability in the projected Canadian crop yield changes. Oral presentation, iCROPM2020, February 2-5, 2020, Montpellier, France.

    2020 - Consulter les détails de la publication

  8. Kritika Kothari, Montserrat Salmeron, Rafael Battisti, Kenneth Boote, Sotirios Archontoulis, Adriana Confalone, Julie Constantin, Santiago Cuadra, Philippe Debaeke, Babacar Faye, Brian Grant, Gerrit Hoogenboom, Qi Jing, Michael van der Laan, Fernando Macena, Fabio Marin, Alireza Nehbandani, Claas Nendel, Larry Purcell, Budong Qian, Alex Ruane, Evandro da Silva, Ward Smith, Afshin Soltani, Amit Srivastava, Nilson Vieira Jr. Poster: First Soybean Multi-model Sensitivity Analysis to CO2, Temperature, Water, and Nitrogen (CTWN). ICROPM 2020, Montpellier, France, Feb 3-5, 2020.

    2020 - Consulter les détails de la publication

  9. Montse Salmeron Cortasa, Kritika Kothari, Rafael Battisti, Kenneth J. Boote, Sotirios Archontoulis, Adriana Confalone, Julie Constantin, Santiago Cuadra, Philippe Debaeke, Babacar Faye, Brian Grant, Gerrit Hoogenboom, Qi Jing, Michael van der Laan, Fernando Macena, Fabio Marin, Alireza Nehbandani, Claas Nendel, Larry C. Purcell, Budong Qian, Alex Ruane, Evandro da Silva, Ward Smith, Afshin Soltani, Amit Srivastava, Nilson Vieira. 2019. Soybean multi‐model sensitivity analysis for prediction of seed nitrogen, biological N fixation, and N cycling. ICROPM 2020, Montpellier, France, Feb 3-5, 2020

    2020 - Consulter les détails de la publication

  10. Budong Qian, Qi Jing, Ward Smith, Brian Grant, Alex Cannon, Xuebin Zhang (2020) Uncertainty introduced by internal climate variability in the projected climate change impacts on Canadian crop yields. Oral Presentation, American Meteorological Society Annual Meetings 20202, January 10 -16, 2020, Boston, USA.

    2020 - Consulter les détails de la publication

  11. Liu, J., Huffman, T., Qian, B., Shang, J., Li, Q., Dong, T., Davidson, A., Jing, Q. (2020). Crop Yield Estimation in the Canadian Prairies Using Terra/MODIS-Derived Crop Metrics. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, [online] 13 2685-2697. http://dx.doi.org/10.1109/JSTARS.2020.2984158

    2020 - Consulter les détails de la publication

  12. Dong, T., Shang, J., Liu, J., Qian, B., Jing, Q., Ma, B., Huffman, T., Geng, X., Sow, A., Shi, Y., Canisius, F., Jiao, X., Kovacs, J.M., Walters, D., Cable, J., Wilson, J. (2019). Using RapidEye imagery to identify within-field variability of crop growth and yield in Ontario, Canada. Precision Agriculture, [online] 20(6), 1231-1250. http://dx.doi.org/10.1007/s11119-019-09646-w

    2019 - Consulter les détails de la publication

  13. He, W., Grant, B.B., Smith, W.N., VanderZaag, A.C., Piquette, S., Qian, B., Jing, Q., Rennie, T.J., Bélanger, G., Jégo, G., Deen, B. (2019). Assessing alfalfa production under historical and future climate in eastern Canada: DNDC model development and application. Environmental Modelling and Software, [online] 122 http://dx.doi.org/10.1016/j.envsoft.2019.104540

    2019 - Consulter les détails de la publication

  14. Kritika Kothari, Montse Salmeron Cortasa, Rafael Battisti, Kenneth J. Boote, Sotirios Archontoulis, Adriana Confalone, Julie Constantin, Santiago Cuadra, Philippe Debaeke, Babacar Faye, Brian Grant, Gerrit Hoogenboom, Qi Jing, Michael van der Laan, Fernando Macena, Fabio Marin, Alireza Nehbandani, Claas Nendel, Larry C. Purcell, Budong Qian, Alex Ruane, Evandro da Silva, Ward Smith, Afshin Soltani, Amit Srivastava, Nilson Vieira. 2019. AgMIP Soybean Phase 1: Multi-Model Sensitivity Analysis to CO2, Temperature, Water, and Nitrogen. ASA, CSSA and SSSA International Annual Meetings, San Antonio, Texas, Nov 10-13, 2019.

    2019 - Consulter les détails de la publication

  15. Liu, J., Shang, J., Qian, B., Huffman, T., Zhang, Y., Dong, T., Jing, Q., Martin, T. (2019). Crop yield estimation using time-series MODIS data and the effects of cropland masks in Ontario, Canada. Remote Sensing, [online] 11(20), http://dx.doi.org/10.3390/rs11202419

    2019 - Consulter les détails de la publication

  16. Dong, T., Shang, J., Qian, B., Liu, J., Chen, J.M., Jing, Q., McConkey, B., Huffman, T., Daneshfar, B., Champagne, C., Davidson, A., MacDonald, D. (2019). Field-scale crop seeding date estimation from MODIS data and growing degree days in Manitoba, Canada. Remote Sensing, [online] 11(15), http://dx.doi.org/10.3390/rs11151760

    2019 - Consulter les détails de la publication

  17. Qian, B., Zhang, X., Smith, W., Grant, B., Jing, Q., Cannon, A.J., Neilsen, D., McConkey, B., Li, G., Bonsal, B., Wan, H., Xue, L., Zhao, J. (2019). Climate change impacts on Canadian yields of spring wheat, canola and maize for global warming levels of 1.5 °c, 2.0 °c, 2.5 °c and 3.0 °c. Environmental Research Letters, [online] 14(7), http://dx.doi.org/10.1088/1748-9326/ab17fb

    2019 - Consulter les détails de la publication

  18. Cheng, Z., Meng, J., Shang, J., Liu, J., Qiao, Y., Qian, B., Jing, Q., Dong, T. (2019). Improving Soil Available Nutrient Estimation by Integrating Modified WOFOST Model and Time-Series Earth Observations. IEEE Transactions on Geoscience and Remote Sensing, [online] 57(5), 2896-2908. http://dx.doi.org/10.1109/TGRS.2018.2878382

    2019 - Consulter les détails de la publication

  19. Qian, B., Jing, Q., Zhang, X., Shang, J., Liu, J., Wan, H., Dong, T., De Jong, R. (2019). Adapting estimation methods of daily solar radiation for crop modelling applications in Canada. Canadian Journal of Soil Science, [online] 99(4), 533-547. http://dx.doi.org/10.1139/cjss-2019-0018

    2019 - Consulter les détails de la publication

  20. Du, X., Li, Q., Shang, J., Liu, J., Qian, B., Jing, Q., Dong, T., Fan, D., Wang, H., Zhao, L., Lieff, S., Davies, T. (2019). Detecting advanced stages of winter wheat yellow rust and aphid infection using RapidEye data in North China Plain. GIScience and Remote Sensing, [online] 56(7), 1093-1113. http://dx.doi.org/10.1080/15481603.2019.1613804

    2019 - Consulter les détails de la publication

Installation de recherche

960, avenue Carling
Ottawa, ON K1A 0C6
Canada

Affiliations

Centre de recherche et de développement d’Ottawa, Agriculture et Agroalimentaire Canada

Language

Anglais