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63

Pierre Casadebaig


Since 2011, I am a research scientist at the French National Institute for Agriculture, Food, and Environment (INRAE).
My current research topic focuses on the study of crop plants in relation to their biophysical environment. I aim to measure, analyze, and predict how various crop cultivars respond and adapt to their cropping environment by using concepts and tools from plant physiology, ecology, and applied mathematics.
I study sole crops (sunflower) and crop mixtures (cereals and legumes) as biological models. I also use computational experiments to identify combinations of plant characteristics and management options that improve crop performance and stability in given production situations.
The outputs from such systems approach enables both better management of actual genetic material (cultivar choice) and model-assisted breeding of new material (ideotyping).


Journal articles31 documents

  • Xavier Pinochet, Philippe Debaeke, Pierre Casadebaig, Emmannelle Mestries, Nicolas B. Langlade. SUNFLO, un modèle au service de l'amélioration des tournesols. Perspectives Agricoles, 2020, pp.55-57. ⟨hal-02952590⟩
  • Philippe Debaeke, Emmanuelle Bret-Mestries, Jean-Noel Aubertot, Pierre Casadebaig, Luc Champolivier, et al.. Sunflower agronomy: 10 years of research in partnership within the “Sunflower” Technological Joint Unit (UMT) in Toulouse. OCL Oilseeds and fats crops and lipids, EDP, 2020, 27, pp.14. ⟨10.1051/ocl/2020006⟩. ⟨hal-02874837⟩
  • Pierre Casadebaig, Philippe Debaeke, Daniel Wallach. A new approach to crop model calibration: Phenotyping plus post‐processing. Crop Science, Crop Science Society of America, 2020, ⟨10.1002/csc2.20016⟩. ⟨hal-02622891⟩
  • Ronan Trepos, Luc Champolivier, Jean-François Dejoux, Al Bitar Ahmad, Pierre Casadebaig, et al.. Forecasting Sunflower Grain Yield by Assimilating Leaf Area Index into a Crop Model. Remote Sensing, MDPI, 2020, 12 (22), pp.3816. ⟨10.3390/rs12223816⟩. ⟨hal-03108921⟩
  • Noémie Gaudio, Abraham Escobar-Gutiérrez, Pierre Casadebaig, Jochem Evers, Frederic Gerard, et al.. Current knowledge and future research opportunities for modeling annual crop mixtures. A review. Agronomy for Sustainable Development, Springer Verlag/EDP Sciences/INRA, 2019, 39 (2), pp.1-39. ⟨10.1007/s13593-019-0562-6⟩. ⟨hal-02228974⟩
  • Luc Champolivier, Philippe Debaeke, Jean-François Dejoux, Caroline Dizien, Arnaud Micheneau, et al.. Outils, références et méthodes pour la construction d’un simulateur pour la prévision du rendement et de la qualité du tournesol à l’échelle territoriale mobilisant la télédétection satellitaire. Innovations Agronomiques, INRAE, 2019, 71, pp.15-34. ⟨10.15454/qmd4zh⟩. ⟨hal-02105013⟩
  • Florie Gosseau, Nicolas Blanchet, Didier Vares, Philippe Burger, Didier Campergue, et al.. Heliaphen, an outdoor high-throughput phenotyping platform for genetic studies and crop modeling. Frontiers in Plant Science, Frontiers, 2019, 9, pp.1-19. ⟨10.3389/fpls.2018.01908⟩. ⟨hal-02628782⟩
  • Afifuddin Latif Adiredjo, Pierre Casadebaig, Nicolas Langlade, Thierry Lamaze, Philippe Grieu. Genetic Analysis of the Transpiration Control in Sunflower (Helianthus Annuus L) Subjected to Drought. VEGETOS: An International Journal of Plant Research, 2018, 31 (1). ⟨hal-01870580⟩
  • Nicolas Blanchet, Pierre Casadebaig, Philippe Debaeke, Harold Duruflé, Louise Gody, et al.. Data describing the eco-physiological responses of twenty-four sunflower genotypes to water deficit. Data in Brief, Elsevier, 2018, 21, pp.1296-1301. ⟨10.1016/j.dib.2018.10.045⟩. ⟨hal-02625452⟩
  • Victor Picheny, Ronan Trepos, Pierre Casadebaig. Optimization of black-box models with uncertain climatic inputs. Application to sunflower ideotype design. PLoS ONE, Public Library of Science, 2017, 12 (5), 15 p. ⟨10.1371/journal.pone.0176815⟩. ⟨hal-01602663⟩
  • Victor Picheny, Pierre Casadebaig, Ronan Trepos, Robert Faivre, David da Silva, et al.. Using numerical plant models and phenotypic correlation space to design achievable ideotypes. Plant, Cell and Environment, Wiley, 2017, 40 (9), pp.1926-1939. ⟨10.1111/pce.13001⟩. ⟨hal-01608063⟩
  • Brigitte Mangin, Pierre Casadebaig, Eléna Cadic, Nicolas Blanchet, Marie-Claude Boniface, et al.. Genetic control of plasticity of oil yield for combined abiotic stresses using a joint approach of crop modeling and genome-wide association. Plant, Cell and Environment, Wiley, 2017, 40 (10), pp.2276-2291. ⟨10.1111/pce.12961⟩. ⟨hal-01608380⟩
  • Philippe Debaeke, Pierre Casadebaig, Francis Flénet, Nicolas Langlade. Sunflower crop and climate change: vulnerability, adaptation, and mitigation potential from case-studies in Europe. OCL Oilseeds and fats crops and lipids, EDP, 2017, 24 (1), 15 p. ⟨10.1051/ocl/2016052⟩. ⟨hal-01605844⟩
  • Fety Nambinina Andrianasolo, Pierre Casadebaig, Nicolas Langlade, Philippe Debaeke, Pierre Maury. Effects of plant growth stage and leaf aging on the response of transpiration and photosynthesis to water deficit in sunflower. Functional Plant Biology, CSIRO Publishing, 2016, 43 (8), pp.797-805. ⟨10.1071/FP15235⟩. ⟨hal-02637072⟩
  • Pierre Casadebaig, Bangyou Zheng, Scott Chapman, Neil Huth, Robert Faivre, et al.. Assessment of the potential impacts of wheat plant traits across environments by combining crop modeling and global sensitivity analysis. PLoS ONE, Public Library of Science, 2016, 11 (1), ⟨10.1371/journal.pone.0146385⟩. ⟨hal-02631962⟩
  • Pierre Casadebaig, Emmanuelle Mestries, Philippe Debaeke. A model-based approach to assist variety evaluation in sunflower crop. European Journal of Agronomy, Elsevier, 2016, 81, pp.92-105. ⟨10.1016/j.eja.2016.09.001⟩. ⟨hal-01385150⟩
  • Pierre Casadebaig, Bastien Poublan, Ronan Trépos, Victor Picheny, Philippe Debaeke. Using plant phenotypic plasticity to improve crop performance and stability regarding climatic uncertainty: a computational study on sunflower. Procedia Environmental Sciences, Elsevier, 2015, 29, pp.142-143. ⟨10.1016/j.proenv.2015.07.229⟩. ⟨hal-02636172⟩
  • Fety Nambinina Andrianasolo, Pierre Casadebaig, Elie Maza, Luc Champolivier, Pierre Maury, et al.. Prediction of sunflower grain oil concentration as a function ofvariety, crop management and environment using statistical models. European Journal of Agronomy, Elsevier, 2014, vol. 54, pp. 84-96. ⟨10.1016/j.eja.2013.12.002⟩. ⟨hal-01186524⟩
  • Marie-Helene Jeuffroy, Pierre Casadebaig, Philippe Debaeke, Chantal Loyce, Jean Marc Meynard. Agronomic model uses to predict cultivar performance in various environments and cropping systems. A review. Agronomy for Sustainable Development, Springer Verlag/EDP Sciences/INRA, 2014, 34 (1), pp.121-137. ⟨10.1007/s13593-013-0170-9⟩. ⟨hal-01173293⟩
  • Gwenaëlle Marchand, Baptiste Mayjonade, Didier Vares, Nicolas Blanchet, Marie-Claude Boniface, et al.. A biomarker based on gene expression indicates plant water status in controlled and natural environments.. Plant, Cell and Environment, Wiley, 2013, 36 (12), pp.2175-2189. ⟨10.1111/pce.12127⟩. ⟨hal-02643216⟩
  • Pierre Casadebaig, Gauthier Quesnel, Michel Langlais, Robert Faivre. A Generic Model to Simulate Air-Borne Diseases as a Function of Crop Architecture. PLoS ONE, Public Library of Science, 2012, 7 (11), pp.1-11. ⟨10.1371/journal.pone.0049406⟩. ⟨hal-00771939⟩
  • Pierre Casadebaig, Lydie Guilioni, Jeremie Lecoeur, Angélique Christophe, Luc Champolivier, et al.. SUNFLO, a model to simulate genotype-specific performance of the sunflower crop in contrasting environments. Agricultural and Forest Meteorology, Elsevier Masson, 2011, 151 (2), pp.163 - 178. ⟨10.1016/j.agrformet.2010.09.012⟩. ⟨hal-01506231⟩
  • Philippe Debaeke, Pierre Casadebaig, Emmanuelle Mestries, Jean-Pierre Palleau, Frédéric Salvi, et al.. Evaluer et valoriser les interactions variété-milieu-conduite en tournesol. Innovations Agronomiques, INRAE, 2011, 14 (Juin), pp.77-90. ⟨hal-02643919⟩
  • Philippe Debaeke, Pierre Casadebaig, Emmanuelle Mestries, Jean-Pierre Palleau, Frédéric Salvi, et al.. Simulation dynamique des interactions génotype x environnement x conduite de culture : application à l'évaluation variétale en tournesol. Innovations Agronomiques, INRAE, 2011, 15, pp.89-103. ⟨hal-02641902⟩
  • Luc Champolivier, Philippe Debaeke, Jérôme Thibierge, Jean-François Dejoux, Stéphanie Ledoux, et al.. Construire des stratégies de production adaptées aux débouchés à l’échelle du bassin de collecte. Innovations Agronomiques, INRAE, 2011, 14, pp.39-57. ⟨hal-02651148⟩
  • Jérémie Lecoeur, Richard Lassus, Angélique Christophe, Benoît Pallas, Pierre Casadebaig, et al.. Quantifying physiological determinants of genetic variation for yield potential in sunflower. SUNFLO: a model-based analysis. Functional Plant Biology, CSIRO Publishing, 2011, 38 (3), pp.246-259. ⟨10.1071/FP09189⟩. ⟨hal-00964303⟩
  • Philippe Debaeke, Pierre Casadebaig, Bertrand Haquin, Emmanuelle Mestries, Jean-Pierre Palleau, et al.. Simulation de la réponse variétale du tournesol à l’environnement à l’aide du modèle SUNFLO. Oléagineux, Corps Gras, Lipides, John Libbey Eurotext, 2010, 17 (3), pp.143-151. ⟨10.1684/ocl.2010.0308⟩. ⟨hal-02653504⟩
  • Pierre Casadebaig, Philippe Debaeke, Jérémie Lecoeur. Thresholds for leaf expansion and transpiration response to soil water deficit in a range of sunflower genotypes. European Journal of Agronomy, Elsevier, 2008, 28 (4), pp.646-654. ⟨10.1016/j.eja.2008.02.001⟩. ⟨hal-02664920⟩
  • Philippe Debaeke, Pierre Casadebaig. Tournesol et sécheresse : Évaluer les variétés par la simulation dynamique. INRA Magazine, 2008, pp.12-12. ⟨hal-02653305⟩
  • Philippe Debaeke, Magali Willaume, Pierre Casadebaig, Jean Marie Nolot. Raisonner les systèmes de culture en fonction de la disponibilité en eau. Innovations Agronomiques, INRAE, 2008, pp.19-36. ⟨hal-02667397⟩
  • Francis Flénet, Philippe Debaeke, Pierre Casadebaig. Could a crop model be useful for improving sunflower crop management ?. Oléagineux, Corps Gras, Lipides, John Libbey Eurotext, 2008, 15 (3), pp.158-161. ⟨hal-02654074⟩

Conference papers21 documents

  • Pierre Casadebaig, Arnaud Gauffreteau, Nicolas Langlade, Mestries Emmanuelle, Sarron Julien, et al.. Optimized cultivar deployment improves the efficiency and stability of sunflower crop production at national scale. iCROPM 2020 Second International Crop Modelling Symposium, Feb 2020, Montpellier, France. pp.125-126. ⟨hal-02956660⟩
  • William Gélard, Ariane Herbulot, Michel Devy, Pierre Casadebaig. 3D leaf tracking for plant growth monitoring. 25. IEEE International Conference on Image Processing (ICIP 2018), Oct 2018, Athène, Greece. 5 p., ⟨10.1109/ICIP.2018.8451553⟩. ⟨hal-02737012⟩
  • Pierre Casadebaig. Predicting sunflower production from traits to fields: application to assessment and recommendation of cultivars. International symposium on sunflower and climate change, Feb 2018, Toulouse, France. ⟨hal-02786314⟩
  • Florie Gosseau, Pierre Casadebaig, Nicolas Langlade, Louise Gody, Nicolas Blanchet. Heliaphen, an outdour high throughput phenotyping platform designed to integrate genetics and crop modeling. Phenome 2018, Feb 2018, Tucson, United States. ⟨hal-02784961⟩
  • William Gélard, Ariane Herbulot, Michel Devy, Pierre Casadebaig. Suivi de la croissance de plantes par vision 3D. Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), Jun 2018, Marne-la-Vallée, France. 8p. ⟨hal-01828207⟩
  • Rémi Mahmoud, Noemie Gaudio, Pierre Casadebaig, Xavier Gendre, Laurent Bedoussac, et al.. A trait-based approach to understand and predict the performance of arable annual mixed crops. International Conference on Ecological Sciences (Sfécologie 2018), Oct 2018, Rennes, France. 825 p. ⟨hal-02738363⟩
  • William Gélard, Ariane Herbulot, Michel Devy, Pierre Casadebaig. 3D Leaf Tracking for Plant Growth Monitoring. 25th IEEE International Conference on Image Processing (ICIP 2018), Oct 2018, Athènes, Greece. 5p. ⟨hal-01957628⟩
  • Arnaud Micheneau, Luc Champolivier, Jean-François Dejoux, Al Bitar Ahmad, Ronan Trepos, et al.. Predicting sunflower grain yield using remote sensing data and models. 15. ESA Congress, Aug 2018, Genève, Switzerland. 180 p. ⟨hal-02734675⟩
  • Fety Andrianasolo Nambinina, François Brun, Pierre Casadebaig, Luc Champolivier, Pierre Maury, et al.. A source-sink based dynamic model for simulating oil and protein accumulation in sunflower achenes. 19. International Sunflower Conference, May 2016, Edirne, Turkey. ⟨hal-02739034⟩
  • Nicolas Blanchet, Pierre Casadebaig, Philippe Burger, Didier Vares, Céline Colombet, et al.. HELIAPHEN: a high-throughput phenotyping platform to characterize plant responses to water stress from seedling stage to seed set. 19. International Sunflower Conference, May 2016, Edirne, Turkey. ⟨hal-02739205⟩
  • Pierre Casadebaig, Philippe Debaeke, Emmanuelle Mestries. A model-based approach to assist variety assessment in sunflower crop. iCROPM2016 International Crop Modelling Symposium "Crop Modelling for Agriculture and Food Security under Global Change, Mar 2016, Berlin, Germany. ⟨hal-02738872⟩
  • William Gélard, Philippe Burger, Pierre Casadebaig, Nicolas Langlade, Philippe Debaeke, et al.. 3D plant phenotyping in sunflower using architecture-based organ segmentation from 3D point clouds. 5th International Workshop on Image Analysis Methods for the Plant Sciences, Sep 2016, Angers, France. ⟨hal-01380234⟩
  • Philippe Debaeke, Pierre Casadebaig, Francis Flenet, Nicolas Langlade. Sunflower and climate change in Europe : crop vulnerability, adaptation, and mitigation potential. 19. International Sunflower Conference, May 2016, Edirne, Turkey. ⟨hal-02741886⟩
  • Karine Chenu, Scott Chapman, Francois Tardieu, Pierre Casadebaig, Jack Christopher, et al.. Bottom-up and top-down approaches – The value of modelling in trait dissection and phenotypic prediction.. HortiModel2016: V International Symposium on Models for Plant Growth, Environment Control and Farming Management in Protected Cultivation., Sep 2016, Avignon, France. ⟨hal-02741009⟩
  • Pierre Casadebaig, Robert Faivre, Karine Chenu. Sensitivity analysis of dynamic crop models to assist crop science: assessing the impact of multiple traits on yield in Australian wheat. 3. Rencontres R, Jun 2014, Montpellier, France. 14 p. ⟨hal-01603352⟩
  • Pierre Casadebaig, Michel Langlais, Christian Fournier, Robert Faivre. Design steps of a generic model to simulate air borne diseases as a function of crop architecture project. ECA International Conference on "Plant and Canopy Architecture Impact on Disease Epidemiology and Pest Development", Jul 2012, Rennes, France. ⟨hal-01543500⟩
  • Pierre Casadebaig, Philippe Debaeke. Using a crop model to evaluate and design combinations of genotypes X management X environments that improve sunflower crop performance. 18. International Sunflower Conference, Feb 2012, Mar del Plata, Argentina. ⟨hal-02747666⟩
  • Pierre Casadebaig, Philippe Debaeke. Using a crop model to assess genotype-environment interactions in multi-environment trials. Systems approaches to crop improvement. Rothamsted Research, Apr 2011, Harpenden, United Kingdom. pp.19-25. ⟨hal-02750148⟩
  • Luc Champolivier, Philippe Debaeke, Jérôme Thibierge, Jean-François Dejoux, Stéphanie Ledoux, et al.. Construire des stratégies de production adaptées aux débouchés à l’échelle du bassin de collecte. CIAG Tournesol et agriculture Durable, Jun 2011, Toulouse, France. ⟨hal-02810446⟩
  • Philippe Debaeke, Pierre Casadebaig, Emmanuelle Mestries, Jean-Pierre Palleau, Frédéric Salvi, et al.. Evaluer et valoriser les interactions variété-milieu-conduite en tournesol. CIAG Tournesol et agriculture Durable, Jun 2011, Toulouse, France. ⟨hal-02807121⟩
  • Philippe Debaeke, Pierre Casadebaig, Bertrand Haquin, Emmanuelle Mestries, Estelle Bonleu, et al.. Application of a model to support variety evaluation and choice in sunflower. Farming Systems Design 2009 : an international symposium on methodologies for integrated analysis of farm production systems, Aug 2009, Monterey, United States. ⟨hal-02754575⟩

Poster communications3 documents

  • Gosseau Florie, Fanny Bonnafous, Prune Pégot-Espagnet, Brigitte Mangin, Nicolas Langlade, et al.. Multi-scale modeling of sunflower crop responses to genetic and environment variations. Second International Crop Modelling Symposium : iCROPM 2020, Feb 2020, Montpellier, France. ⟨hal-02956666⟩
  • Pierre Casadebaig, Victor Picheny, Ronan Trepos, Robert Faivre, David da Silva, et al.. Using numerical plant models and phenotypic correlation space to design achievable ideotypes. Society of Experimental Biology Annual Main Meeting (SEB 2017), Jul 2017, Gothenburg, Sweden. 344 p., 2017, Abstract book: Society of Experimental Biology. ⟨hal-01603216⟩
  • Pierre Casadebaig, Philippe Debaeke, Luc Champolivier, Vincent Lecomte, Gwenola Marage, et al.. Sunflower yield response to crop density under climatic uncertainty: coupling an experimental and a simulation approach.. 19. International Sunflower Conference, May 2016, Edirne, Turkey. 2016, 19th International Sunflower Conference, Edirne, Turkey. ISC 2016. ⟨hal-02739692⟩

Book sections2 documents

  • Bénédicte Quilot-Turion, Pierre Martre, Delphine Luquet, Pierre Casadebaig, Myriam Adam. Simulations des réponses des génotypes à l'environnement. Conception d'idéotypes de plantes pour une agriculture durable, FormaScience, 254 p., 2014, 9782738013473. ⟨hal-02797333⟩
  • Pierre Casadebaig. Exploration chez le tournesol de combinaisons virtuelles de traits dans des environnements contrastés. Conception d’idéotypes de plantes pour une agriculture durable, FormaScience, 2014, Ecoles-chercheurs INRA, 2-7380-1347-3. ⟨hal-02799975⟩

Directions of work or proceedings2 documents

  • Karine Chenu, Pierre Casadebaig, Jack Christopher. From a global sensitivity analysis of a crop model to wheat improvement in the field. iCROPM2016 International Crop Modelling Symposium "Crop Modelling for Agriculture and Food Security under Global Change", Mar 2016, Berlin, Germany. 2016. ⟨hal-02796201⟩
  • Agnes Calonnec, Benjamin Richard, Didier Andrivon, Alain Baranger, Jean-Eric Chauvin, et al.. PROJET 'ARCHIDEMIO'. Modéliser les interactions entre développement de la plante, architecture du couvert et épidémies de maladies fongiques aériennes, pour une gestion durable des cultures. Innovations Agronomiques, pp.201-219, 2013. ⟨hal-01208675⟩

Preprints, Working Papers, ...3 documents

  • Pierre Casadebaig, Arnaud Gauffreteau, Amélia Landré, Nicolas Langlade, Emmanuelle Mestries, et al.. Optimized cultivar deployment improves the efficiency and stability of sunflower crop production at national scale. 2021. ⟨hal-03333890⟩
  • Victor Picheny, Ronan Trépos, Bastien Poublan, Pierre Casadebaig. Sunflower phenotype optimization under climatic uncertainties using crop models. 2015. ⟨hal-01196643⟩
  • Pierre Casadebaig, Ronan Trepos, Victor Picheny, Nicolas Langlade, Patrick Vincourt, et al.. Increased genetic diversity improves crop yield stability under climate variability: a computational study on sunflower. 2014. ⟨hal-01406181⟩

Software1 document

  • Ronan Trepos, Nathalie Rousse, Pierre Casadebaig, Guillaume Robaldo, Eric Casellas, et al.. Paquet VLE pour le modèle de culture de tournesol SUNFLO. 2018. ⟨hal-02788007⟩