Open Access
Issue
OCL
Volume 28, 2021
Article Number 12
Number of page(s) 3
Section Agronomy
DOI https://doi.org/10.1051/ocl/2020074
Published online 10 February 2021
  • Badouin H, Gouzy J, Grassa CJ, et al. 2017. The sunflower genome provides insights into oil metabolism, flowering and Asterid evolution. Nature 546: 148–152. [Google Scholar]
  • Blanchet N, Casadebaig P, Debaeke P, et al. 2018. Data describing the eco-physiological responses of twenty-four sunflower genotypes to water deficit. Data in Brief 21: 1296–1301. [CrossRef] [PubMed] [Google Scholar]
  • Craig R, Cortens JP, Beavis RC. 2004. Open source system for analyzing, validating, and storing protein identification data. Journal of Proteome Research 3: 1234–1242. [PubMed] [Google Scholar]
  • Debaeke P, Bertrand M. 2008. Évaluation des impacts de la sécheresse sur le rendement des grandes cultures en France. Cahiers Agricultures 17: 437–443. [Google Scholar]
  • Debaeke P, Casadebaig P, Flenet F, Langlade N. 2017. Sunflower crop and climate change: vulnerability, adaptation, and mitigation potential from case-studies in Europe. OCL 24: D102. [CrossRef] [EDP Sciences] [Google Scholar]
  • Duruflé H, Clemente HS, Balliau T, Zivy M, Dunand C, Jamet E. 2017. Cell wall proteome analysis of Arabidopsis thaliana mature stems. Proteomics 17: 1600449. [Google Scholar]
  • Gosseau F, Blanchet N, Varès D, et al. 2019. Heliaphen, an outdoor high-throughput phenotyping platform for genetic studies and crop modeling. Frontiers in Plant Science 9: 1908. [CrossRef] [PubMed] [Google Scholar]
  • Hervé V, Duruflé H, San Clemente H, et al. 2016. An enlarged cell wall proteome of Arabidopsis thaliana rosettes. Proteomics 16: 3183–3187. [PubMed] [Google Scholar]
  • Langella O, Valot B, Balliau T, Blein-Nicolas M, Bonhomme L, Zivy M. 2017. X!TandemPipeline: a tool to manage sequence redundancy for protein inference and phosphosite identification. J Proteome Res 16: 494–503. [PubMed] [Google Scholar]
  • Marchand G, Mayjonade B, Varès D, et al. 2013. A biomarker based on gene expression indicates plant water status in controlled and natural environments. Plant, Cell & Environment 36: 2175–2189. [CrossRef] [PubMed] [Google Scholar]
  • Méchin V, Damerval C, Zivy M. 2007. Total protein extraction with TCA-acetone. Methods in Molecular Biology (Clifton, N.J.) 355: 1–8. [PubMed] [Google Scholar]
  • Rengel D, Arribat S, Maury P, et al. 2012. A gene-phenotype network based on genetic variability for drought responses reveals key physiological processes in controlled and natural environments (M. Bendahmane, Ed.). PLoS ONE 7: e45249. [Google Scholar]
  • Schneiter AA, Miller JF. 1981. Description of sunflower growth stages. Crop Sciences 21: 901–903. [Google Scholar]
  • USDA. 2020. Oilseeds: world markets and trade. [WWW document]. Available from https://apps.fas.usda.gov/psdonline/circulars/oilseeds.pdf [accessed 3 July 2020]. [Google Scholar]
  • Valot B, Langella O, Nano E, Zivy M. 2011. MassChroQ: a versatile tool for mass spectrometry quantification. Proteomics 11: 3572–3577. [PubMed] [Google Scholar]

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