C. Allinne, P. Maury, A. Sarrafi, and P. Grieu, Genetic control of physiological traits associated to low temperature growth in sunflower under early sowing conditions, Plant Science, vol.177, issue.4, pp.349-359, 2009.

H. Badouin, J. Gouzy, C. J. Grassa, F. Murat, S. E. Staton et al., The sunflower genome provides insights into oil metabolism, flowering and Asterid evolution, Nature, vol.546, issue.7656, pp.148-152, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01603287

J. Balk and C. J. Leaver, The PET1-CMS mitochondrial mutation in sunflower is associated with premature programmed cell death and cytochrome c release, The Plant Cell, vol.13, issue.8, pp.1803-1818, 2001.

N. Blanchet, P. Casadebaig, P. Debaeke, H. Duruflé, L. Gody et al., Data describing the eco-physiological responses of twenty-four sunflower genotypes to water deficit, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02625452

J. B. Bowne, T. A. Erwin, J. Juttner, T. Schnurbusch, P. Langridge et al., Drought responses of leaf tissues from wheat cultivars of differing drought tolerance at the metabolite level, Molecular Plant, vol.5, issue.2, pp.418-429, 2012.

M. M. Bradford, A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding, Analytical Biochemistry, vol.72, pp.248-254, 1976.

L. Chen and Y. Liu, Male sterility and fertility restoration in crops, Annual Review of Plant Biology, vol.65, issue.1, pp.579-606, 2014.

M. J. Correia, F. Fonseca, J. Azedo-silva, C. Dias, M. M. David et al., Effects of water deficit on the activity of nitrate reductase and content of sugars, nitrate and free amino acids in the leaves and roots of sunflower and white lupin plants growing under two nutrient supply regimes, Physiologia Plantarum, vol.124, issue.1, pp.61-70, 2005.

C. Deborde, M. Maucourt, P. Baldet, S. Bernillon, B. Biais et al., Proton NMR quantitative profiling for quality assessment of greenhouse-grown tomato fruit, Metabolomics, vol.5, issue.2, pp.183-198, 2009.

V. P. Emerenciano, J. S. Militão, C. C. Campos, P. Romoff, M. A. Kaplan et al., Flavonoids as chemotaxonomic markers for Asteraceae, Biochemical Systematics and Ecology, vol.29, issue.9, pp.33-36, 2001.

O. Fernandez, M. Urrutia, S. Bernillon, C. Giauffret, F. Tardieu et al., Fortune telling: Metabolic markers of plant performance, Metabolomics, vol.12, issue.10, p.158, 2016.

G. Fu, B. Zhang, H. Kou, and L. Yi, Stable biomarker screening and classification by subsampling-based sparse regularization coupled with support vector machines in metabolomics, vol.160, pp.22-31, 2017.

Y. Gibon, H. Vigeolas, A. Tiessen, P. Geigenberger, and M. Stitt, Sensitive and high throughput metabolite assays for inorganic pyrophosphate, ADPGlc, nucleotide phosphates, and glycolytic intermediates based on a novel enzymic cycling system, The Plant Journal, vol.30, issue.2, pp.221-235, 2002.

J. Giri, Glycinebetaine and abiotic stress tolerance in plants, Plant Signaling & Behavior, vol.6, issue.11, pp.1746-1751, 2011.

F. Gosseau, N. Blanchet, D. Varès, P. Burger, D. Campergue et al., Heliaphen, an outdoor high-throughput phenotyping platform designed to integrate genetics and crop modeling. bioRxiv, 362715, 2018.

D. Grissa, M. Pétéra, M. Brandolini, A. Napoli, B. Comte et al., Feature selection methods for early predictive biomarker discovery using untargeted metabolomic data. Frontiers in Molecular, Biosciences, vol.3, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01581617

T. Hartmann, From waste products to ecochemicals: Fifty years research of plant secondary metabolism, Phytochemistry, vol.68, issue.22, pp.2831-2846, 2007.

J. H. Hendriks, A. Kolbe, Y. Gibon, M. Stitt, and P. Geigenberger, ADP-glucose pyrophosphorylase is activated by posttranslational redox-modification in response to light and to sugars in leaves of Arabidopsis and other plant species, Plant Physiology, vol.133, issue.2, pp.838-849, 2003.

U. Hochberg, A. Degu, D. Toubiana, T. Gendler, Z. Nikoloski et al., Metabolite profiling and network analysis reveal coordinated changes in grapevine water stress response, BMC Plant Biology, vol.13, issue.1, p.184, 2013.

R. Horn and W. Friedt, CMS sources in sunflower: Different origin but same mechanism?, Theoretical and Applied Genetics, vol.98, issue.2, p.58, 1999.

M. Hussain, S. Farooq, W. Hasan, S. Ul-allah, M. Tanveer et al., Drought stress in sunflower: Physiological effects and its management through breeding and agronomic alternatives, Agricultural Water Management, vol.201, pp.152-166, 2018.

K. Igarashi, T. Kazama, and K. Toriyama, A gene encoding pentatricopeptide repeat protein partially restores fertility in RT98-type cytoplasmic male-sterile rice, Plant and Cell Physiology, vol.57, issue.10, pp.2187-2193, 2016.

D. Jacob, C. Deborde, M. Lefebvre, M. Maucourt, and A. Moing, NMRProcFlow: A graphical and interactive tool dedicated to 1D spectra processing for NMR-based metabolomics, Metabolomics, vol.13, issue.4, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01401241

T. Jelitto, U. Sonnewald, L. Willmitzer, M. Hajirezeai, and M. Stitt, Inorganic pyrophosphate content and metabolites in potato and tobacco plants expressing E. coli pyrophosphatase in their cytosol, Planta, vol.188, issue.2, pp.238-244, 1992.

M. Karama?, A. Kosi?ska, I. Estrella, T. Hernández, and M. Dueñas, Antioxidant activity of phenolic compounds identified in sunflower seeds, European Food Research and Technology, vol.235, issue.2, pp.221-230, 2012.

D. E. Koeppe, L. M. Rohrbaugh, E. L. Rice, and S. H. Wender, Tissue age and caffeoylquinic acid concentration in sunflower, Phytochemistry, vol.9, issue.2, pp.85138-85147, 1970.

A. Lanzinger, T. Frank, G. Reichenberger, M. Herz, and K. Engel, Metabolite profiling of barley grain subjected to induced drought stress: Responses of free amino acids in differently adapted cultivars, Journal of Agricultural and Food Chemistry, vol.63, issue.16, pp.4252-4261, 2015.

Q. Liang, J. Cui, H. Li, J. Liu, and G. Zhao, Florets of sunflower (Helianthus annuus L.): Potential new sources of dietary fiber and phenolic acids, Journal of Agricultural and Food Chemistry, vol.61, issue.14, pp.3435-3442, 2013.

J. C. Lindon and J. K. Nicholson, The emergent role of metabolic phenotyping in dynamic patient stratification, Expert Opinion on Drug Metabolism & Toxicology, vol.10, issue.7, pp.915-919, 2014.

P. Manivannan, C. A. Jaleel, B. Sankar, A. Kishorekumar, R. Somasundaram et al., Growth, biochemical modifications and proline metabolism in Helianthus annuus L. as induced by drought stress, Colloids and Surfaces B: Biointerfaces, vol.59, issue.2, pp.141-149, 2007.

G. Marchand, B. Mayjonade, D. Varès, N. Blanchet, M. Boniface et al., A biomarker based on gene expression indicates plant water status in controlled and natural environments, Plant, Cell and Environment, vol.36, issue.12, pp.2175-2189, 2013.

G. M. Martínez-noël, G. A. Dosio, A. F. Puebla, E. M. Insani, and J. A. Tognetti, Sunflower: A potential fructan-bearing crop?, Frontiers in Plant Science, vol.6, 2015.

R. C. Meyer, M. Steinfath, J. Lisec, M. Becher, H. Witucka-wall et al., The metabolic signature related to high plant growth rate in Arabidopsis thaliana, Proceedings of the National academy of Sciences of the United States of America, vol.104, pp.4759-4764, 2007.

S. Moschen, J. A. Rienzo, J. Higgins, T. Tohge, M. Watanabe et al., Integration of transcriptomic and metabolic data reveals transcription factors involved in drought stress response in sunflower, Helianthus annuus L. Plant Molecular Biology, vol.94, issue.4-5, pp.549-564, 2017.

A. Nunes-nesi, F. Carrari, Y. Gibon, R. Sulpice, A. Lytovchenko et al., Deficiency of mitochondrial fumarase activity in tomato plants impairs photosynthesis via an effect on stomatal function, The Plant Journal, vol.50, issue.6, pp.1093-1106, 2007.

. Oilworld, , 2016.

B. R. Owart, J. Corbi, J. M. Burke, and J. M. Dechaine, Selection on crop-derived traits and QTL in sunflower (Helianthus annuus) crop-wild hybrids under water stress, PLoS ONE, vol.9, issue.7, 2014.

C. Patil, C. Calvayrac, Y. Zhou, S. Romdhane, M. Salvia et al., Environmental metabolic footprinting: A novel application to study the impact of a natural and a synthetic ?-triketone herbicide in soil. The Science of the Total Environment, pp.552-558, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01325820

M. M. Pedrosa, M. Muzquiz, C. García-vallejo, C. Burbano, C. Cuadrado et al., Determination of caffeic and chlorogenic acids and their derivatives in different sunflower seeds, Journal of the Science of Food and Agriculture, vol.80, issue.4, pp.459-464, 2000.

E. Pichersky and E. Lewinsohn, Convergent evolution in plant specialized metabolism, Annual Review of Plant Biology, vol.62, pp.549-566, 2011.

S. Poormohammad-kiani, P. Grieu, P. Maury, T. Hewezi, L. Gentzbittel et al., Genetic variability for physiological traits under drought conditions and differential expression of water stress-associated genes in sunflower (Helianthus annuus L), TAG. Theoretical and Applied Genetics, vol.114, issue.2, pp.193-207, 2007.

J. R. Prasifka, O. Spring, J. Conrad, L. W. Cook, D. E. Palmquist et al., Sesquiterpene lactone composition of wild and cultivated sunflowers and biological activity against an insect pest, Journal of Agricultural and Food Chemistry, vol.63, issue.16, pp.4042-4049, 2015.

L. L. Qi, M. E. Foley, X. W. Cai, and T. J. Gulya, Genetics and mapping of a novel downy mildew resistance gene, Pl(18), introgressed from wild Helianthus argophyllus into cultivated sunflower, Helianthus annuus L.). TAG. Theoretical and Applied Genetics, vol.129, issue.4, pp.741-752, 2016.

C. Riedelsheimer, A. Czedik-eysenberg, C. Grieder, J. Lisec, F. Technow et al., Genomic and metabolic prediction of complex heterotic traits in hybrid maize, Nature Genetics, vol.44, issue.2, pp.217-220, 2012.

F. Rohart, B. Gautier, A. Singh, and K. L. Cao, mixOmics: An R package for 'omics feature selection and multiple data integration, PLoS Computational Biology, vol.13, issue.11, 2017.

A. A. Schneiter and J. F. Miller, Description of sunflower growth stages 1, Crop Science, vol.21, issue.6, pp.901-903, 1981.

T. D. Sharkey, A. E. Wiberley, and A. R. Donohue, Isoprene emission from plants: Why and how, Annals of Botany, vol.101, issue.1, pp.5-18, 2008.

C. A. Smith, E. J. Want, G. O'maille, R. Abagyan, and G. Siuzdak, XCMS: Processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification, Analytical Chemistry, vol.78, issue.3, pp.779-787, 2006.

L. Szabados and A. Savouré, Proline: A multifunctional amino acid, Trends in Plant Science, vol.15, issue.2, pp.89-97, 2010.

T. Taji, S. Takahashi, and K. Shinozaki, Inositols and their metabolites in abiotic and biotic stress responses, Biology of inositols and phosphoinositides: Subcellular biochemistry, pp.239-264, 2006.

Z. I. Talukder, B. S. Hulke, L. Qi, B. E. Scheffler, V. Pegadaraju et al., Candidate gene association mapping of Sclerotinia stalk rot resistance in sunflower (Helianthus annuus L.) uncovers the importance of COI1 homologs, TAG. Theoretical and applied genetics, vol.127, issue.1, pp.193-209, 2014.

D. Tompkins and J. Toffaletti, Enzymic determination of citrate in serum and urine, with use of the Worthington "ultrafree" device, Clinical Chemistry, vol.28, issue.1, pp.192-195, 1982.

F. Vear, Changes in sunflower breeding over the last fifty years, OCL, vol.23, issue.2, 2016.
URL : https://hal.archives-ouvertes.fr/hal-02631977

S. R. Wildermuth, E. E. Young, and L. M. Were, Chlorogenic acid oxidation and its reaction with sunflower proteins to form green-colored complexes, Comprehensive Reviews in Food Science and Food Safety, vol.15, issue.5, pp.829-843, 2016.

Y. Yu, Z. Zhao, Y. Shi, H. Tian, L. Liu et al., Hybrid sterility in rice (Oryza sativa L.) involves the tetratricopeptide repeat domain containing protein, Genetics, vol.203, issue.3, pp.1439-1451, 2016.

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