Symposium on Sunflower and Climate Change

The International Symposium on Sunflower and Climate Change was organized in the frame of the SUNRISE project, by INRA Toulouse (Institut National de Recherche en Agronomie) and the French technical c...

In brief

In an unprecedented effort - 8 years project, investment of €21m, 16 partners including 9 public laboratories with a specific investment of INRA, 6 companies involved in sunflower breeding and the ...

The Project

In a context of climate changes and of world increasing demand for oilseed production, it is crucial to improve resistance to drought and yields of sunflower crops in such conditions. To improve ge...


  • 2017 Sunflower crop and climate change in Europe: vulnerability, adaptation, and mitigation potential. Philippe Debaeke, Pierre Casadebaig, Francis Flénet, Nicolas Langlade. OCL Link
  • 2017 Comparison of GWAS models to identify non-additive genetic control of flowering time in sunflower hybrids, Bonnafous F. Fievet G, Blanchet N, Boniface MC, Carrère S, Gouzy J, Legrand L, Marage G, Bret-Mestries E, Munos S, Pouilly N, Vincourt P, Langlade N, Mangin B., Theoretical and applied genetics
  • 2017 Molecular diversity of sunflower populations maintained as genetic resources is affected by multiplication processes and breeding for major traits. Brigitte Magin, Nicolas Pouilly, Marie-Claude Boniface, Nicolas B. Langlade, Patrick Vincourt, Felicity Vear et Stéphane Muños. Theor Appl Genet (2017) 130: 1099. (link)
  • 2017 Optimization of black-box models with uncertain climatic inputs - application to sunflower ideotype design. Picheny, V.; Trépos, R. & Casadebaig, P. PLoS ONE 12(5), e0176815. (link)
  • 2017 Genomic Prediction of Sunflower Hybrids Oil Content. Brigitte Mangin, Fanny Bonnafous, Nicolas Blanchet, Marie-Claude Boniface, Emmanuelle Bret-Mestries, Sébatien Carrère, Ludovic Cottret, Ludovic Legrand, Gwenola Marage, Prune Pegot-Espagnet, Stéphane Muños, Nicolas Pouilly, Felicity Vear, Patrick Vincourt, Nicolas B Langlade Front. Plant Sci. | doi: 10.3389 (link)
  • 2017 The sunflower genome provides insights into oil metabolism, flowering and Asterid evolution. Badouin, H., Gouzy, J., Grassa, C.J., Murat, F., Staton, S.E., Cottret, L., Lelandais-Brière, C., Owens, G., Carrère, S., Mayjonade, B., Legrand, L., Gill, N., Kane, N.C., Bowers, J.E., Hubner, S., Bellec, A., Bérard, A., Bergès, H., Blanchet, N., Boniface, M.-C., Brunel, D., Catrice, O., Chaidir, N., Claudel, C., Donnadieu, C., Faraut, T., Fievet, G., Helmstetter, N., King, M., Knapp, S.J., Lai, Z., Le Paslier, M.-C., Lippi, Y., Lorenzon, L., Jennifer Mandel, Marage, G., Marchand, G., Marquand, E., Bret-Mestries, E., Morien, E., Nambeesan, S., Nguyen, T., Pégot-Espagnet, P., Pouilly, N., Raftis, F., Sallet, E., Schiex, T., Thomas, J., Vandecasteele, C., Varès, D., Vear, F., Vautrin, S., Crespi, M., Mangin, B., Burke, J.M., Salse, J., Muños, S., Vincourt, P., Rieseberg, L.H., Langlade, NB. Nature in press. doi:10.1038/nature22380 (link)
  • 2017  Genetic control of plasticity of oil yield for combined abiotic stresses using a joint approach of crop modelling and genome-wide association.  Mangin, B., et al., Plant, Cell & Environment (2017). doi: 10.1111/pce.12961
  • 2017, Using numerical plant models and phenotypic correlation space to design achievable ideotypes.  Picheny, V., et al. E. Plant, Cell & Environment (2017) doi: 10.1111/pce.13001.
  • 2017 “Model-Based Segmentation of 3D Point Clouds for Phenotyping Sunflower Plants.” Gelard, William, Michel Devy, Ariane Herbulot, and Philippe Burger.  In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 4:459–67. Porto, Portugal, 2017.


  • 2016 Extraction of high-molecular-weight genomic DNA for long-read sequencing of single molecules. Baptiste Mayjonade, Jérôme Gouzy, Cécile Donnadieu, Nicolas Pouilly, William Marande, Caroline Callot, Nicolas Langlade, and Stéphane Muños BioTechniques, Vol. 61, No. 4, October 2016, pp. 203–205 (link)
  • 2016 Fortune telling: metabolic markers of plant performance. Olivier Fernandez, Maria Urrutia, Stephane Bernillon, Catherine Giauffret, François Tardieu, Jacques Le Gouis, Nicolas Langlade, Alain Charcosset, Annick Moing, Yves Gibon. Metabolmocis 12 :158 DOI 10.1007/s11306-016-1099-1
  • 2016 A model-based approach to assist variety evaluation in sunflower crop. Pierre Casadebaig, Emmanuelle Mestries, Philippe Debaecke. European Journal of Agronomy. 81:92-105. November 2016.
  • 2016 Effects of plant growth stage and leaf on the response of transpiration and photosynthesis to water deficit in sunflower. Fety Nambinina Andrianasolo, Pierre Casadebaig, Nicolas Langlade, Philippe Debaeke and Pierre Maury.  Functional Plant Biology - DOI
  • 2015 Using plant phenotypic plasticity to improve crop performance and stability regarding climatic uncertainty: A computional study on sunflower. Casadebaig P, Poublan B, Trepos R, Picheny V, Debaeke P.  Procedia Environmental Sciences 20: 142-143.
  • 2014 Bridging physiological and evolutionary time scales in a gene regulatory network. Marchand, G., Huynh-Thu, V. A., Kane, N., Arribat, S., Varès, D., Rengel, D., Balzergue, S., Rieseberg, L., Vincourt, P., Geurts, P., Vignes, M. and Langlade, N. B. New Phytologist 2014 Jul;203(2):685-96
  • 2014 Prediction of sunflower grain oil concentration as a function of variety, crop management and environment using statistical models. Andrianasolo F.N.,Casadebaig P., Maza E., Champolivier L.P., Maury P., Debaeke P.European Journal of Agronomy 54:84-96 DOI
  • 2014 Is Gene Transcription Involved in Seed Dry After-Ripening? Meimoun P., Mordret E., Langlade N.B., Balzergue S., Arribat S., Bailly C., El-Maarouf-Bouteau H.PLOS ONE 9(1):e86442 DOI
  • 2014 Reference Genome of Sunflower, line HA412: Version 0.9 Grassa C.F., Kane N., Gouzy J., Gill N., Nguyen T.N., Hubner S., Bowers J., Chaidir N.I., Bergès H., King M., Lai Z., Bachlava E, Knapp S., Burke J., Vincourt P., Rieseberg L. PLant & Animal Genome XXII, January 11-15, 2014, San Diego CA Link
  • 2014 Development of a qRT&Allele Specific-PCR Assay to Study Allele Specific Expression: A Case Study of Genes Involved in Drought Stress Response in Sunflower Hybrids Mayjonade B., Marchand G., Carrère S., Muños S., Rengel D., Blanchet N., Boniface M.C., Varès D., Mangin B., Gouzy J., Vincourt P., Langlade N.B. PLant & Animal Genome XXII, January 11-15, 2014, San Diego CA Link
  • 2014 A Systems Biology Approach to Study Genotype Environment Interactions and Develop a Biomarker Based on Gene Expression in Sunflower. Langlade N.B., Marchand G., Rengel D., Varès D., Blanchet N., Boniface M.C., Mayjonade B., Muños S., Mangin B., Vincourt P. PLant & Animal Genome XXII, January 11-15, 2014, San Diego CA Link
  • 2014 Identifying the Genetic Networks Involved in the Response of Sunflower to Drought. Langlade N.B., Marchand G., Mayjonade B., Mangin B., Carrère S., Gouzy J., Vincourt P.< PLant & Animal Genome XXII, January 11-15, 2014, San Diego CA Link
  • 2013 A biomarker based on gene expression indicates plant water status in controlled and natural environments. Marchand G., Mayjonade B., Varès D., Blanchet N., Boniface M.C., Maury P., Andrianasolo Nambinina F., Burger P., Debaeke P., Casadebaig P., Vincourt P., Langlade N.B. Plant Cell and Environment DOI
  • 2013 Combined linkage and association mapping of flowering time in Sunflower (Helianthus annuus L.) Cadic E., Coque M., Vear F., Grezes-Besset B., Pauquet J., Piquemal J., Lippi Y., Blanchard P.,Romestant M., Pouilly N., Rengel D., Gouzy J., Langlade N., Mangin B., Vincourt P. Theor.Appl.Genet. DO
  • 2013 Sunflower Genetics and Genomics: From a Combined Linkage and Association Mapping of Flowering Time to the Development of a Transcriptome Web Portal. Langlade N., Cadic E., Coque M., Vear F., Grezes-Besset B., Pauquet J., Piquemal J., Lippi Y., Blanchard P.,Romestant M., Pouilly N., Rengel D., Carrere S., Gouzy J., Mangin B., Vincourt P. PLant & Animal Genome XXI, January 12-16, 2013, San Diego CA Link
  • 2013 Sunflower genetic, genomic and ecological resources. Kane N. C., Burke J. M., Marek L., Seiler G., Vear F., Baute G., Knapp S. J., Vincourt P. and Rieseberg L.H. Mol.Ecol.Res. 13 (1):10-20 DOI
  • 2012 A Gene-Phenotype Network Based on Genetic Variability for Drought Responses Reveals Key Physiological Processes in Controlled and Natural Environments.Rengel D., Arribat S., Pierre Maury P., Martin-Magniette M.L., Hourlier T., Laporte M., Varès D., Carrère C., Grieu P., Balzergue S., Gouzy J., Vincourt P., Langlade N.B. PLoS ONE 7(10): e45249 DOI
  • 2012 Novel measures of linkage disequilibrium that correct the bias due to population structure and relatedness.Mangin B., Siberchicot A., Nicoals S.? Doligez A., This P., Cieroc-Ayrolles C. Heredity 108(3):285-291 DOI
  • 2011 SUNFLO, a model to simulate genotype-specific performance of sunflower crop in contrasting environments. Casadebaig P., Guilioni L., Lecoeur J., Christophe A , Champolivier L., Debaeke P. Agric. For. Meteor. 151, 163-178 DOI
  • 2011 Targeted mRNA Oxidation Regulates Sunflower Seed Dormancy Alleviation during Dry After-Ripening. Bazin, J., Langlade, N., Vincourt, P., Arribat, S., Balzergue, S., El-Maarouf-Bouteau, H., Bailly, C. Plant Cell 23 (6) : 2196-2208 DOI
  • 2011 Progress towards a reference genome for sunflower. Kane N.C., Gill N., King M.G., Bowers J.E., Berges H., Gouzy J., Bachlava E., Langlade N.B., Lai Z., Stewart M., Vincourt P., Knapp S.J., Rieseberg L.H. Botany 89: 429–437