Open Access
Issue
OCL
Volume 17, Number 3, Mai-Juin 2010
Dossier : Tournesol : champs de recherche
Page(s) 143 - 151
Section Agronomie – Environnement
DOI https://doi.org/10.1051/ocl.2010.0308
Published online 15 May 2010
  • Agüera F, Villalobos FJ, Orgaz F. Evaluation of sunflower (Helianthus annuus L.) genotypes differing in early vigour using a simulation model. Eur J Agron 1997 ; 7 : 109–118. [CrossRef] [Google Scholar]
  • Bertin N, Martre P, Genard M, Quilot B, Salon C. Under what circumstances can process-based simulation models link genotype to phenotype for complex traits? Case-study of fruit and grain quality traits. J Exp Bot 2010 ; 61 : 955–967. [CrossRef] [PubMed] [Google Scholar]
  • Boote KJ, Kropff MJ, Bindraban PS. Physiology and modelling of traits in crop plants : implications for genetic improvement. Agric Syst 2001 ; 70 : 395–420. [CrossRef] [Google Scholar]
  • Cabelguenne M, Debaeke P, Bouniols A. EPICphase, a version of the EPIC model simulating the effects of water and nitrogen stress on biomass and yield, taking account of developmental stages : validation on maize, sunflower, sorghum, soya and winter wheat. Agric Syst 1999 ; 60 : 175–196. [CrossRef] [Google Scholar]
  • Casadebaig P. Analyse et modélisation dynamique des interactions génotype-environnement-conduite de culture : application au tournesol (Helianthus annuus L). Thèse, INP Toulouse 2008. [Google Scholar]
  • Casadebaig P, Debaeke P. Exploring genotypic strategies for sunflower drought resistance by the means of a dynamic crop simulation model. Proc. 17th Int. Sunflower Conf., Cordoba (Spain), 2008. [Google Scholar]
  • Casadebaig P, Debaeke P, Lecoeur J. Thresholds for leaf expansion and transpiration response to soil water deficit in a range of sunflower genotypes. Eur J Agron 2008 ; 28 : 646–654. [CrossRef] [Google Scholar]
  • Casadebaig P, Guilioni L, Lecoeur J, Christophe A, Champolivier L, Debaeke P. SUNFLO, a model to simulate genotype-specific performance of sunflower crop in contrasting environments. Agric For Meteor 2010 (en révision). [Google Scholar]
  • Cetiom. Évaluation variétale : les nouvelles orientations. Oléoscope 2000 ; 55 : 9–25. [Google Scholar]
  • Chapman S, Hammer G, Meinke H. A sunflower simulation model : I. model development. Agron J 1993 ; 85 : 725–735. [CrossRef] [Google Scholar]
  • Debaeke P, Lecoeur J, Triboi-Blondel AM, Vear F. Crop physiological determinants of yield in old and modern sunflower hybrids. Proc. 16th Int. Sunflower Conf., Fargo (USA), 2004; 267–273. [Google Scholar]
  • Foucteau V, El Daouk M, Baril C. Interpretation of genotype by environment interaction in two sunflower networks. Theor Appl Genet 2001 ; 102 : 327–334. [CrossRef] [Google Scholar]
  • Geves. Règlement technique d’examen des variétés de tournesol en vue de leur inscription au Catalogue officiel français, 2007. geves.zarcrom.fr. [Google Scholar]
  • Hammer GL, Kropff MJ, Sinclair TR, Porter JR. Future contributions of crop modelling-from heuristics and supporting decision making to understanding genetic regulation and aiding crop improvement. Eur J Agron 2002 ; 18 : 15–31. [CrossRef] [Google Scholar]
  • Jeuffroy MH, Barbottin A, Jones JW, Lecoeur J. Crop models with genotype parameters. In : Wallach D, Makowski D, Jones JW (Eds.), Working with dynamic crop models-evaluation, analysis, parameterization and applications. Amsterdam : Elsevier, 2006. [Google Scholar]
  • Lecoeur J, Poiré-Lassus R, Christophe A, et al. SUNFLO : A joint phenotyping and modelling approach to analyse and predict differences in yield potential of sunflower genotypes. Funct Plant Biol 2010 (en révision). [PubMed] [Google Scholar]
  • Lecomte C. L’évaluation expérimentale des innovations variétales : proposition d’outils d’analyse de l’interaction génotype-milieu adaptés à la diversité des besoins et des contraintes des acteurs de la filière semences. Thèse INA-PG, 2005. [Google Scholar]
  • Monteith JL. Climate and the efficiency of crop production in Britain. Phil Trans Royal Soc Lond B Biol Sci 1977 ; 281 : 277–294. [CrossRef] [Google Scholar]
  • Pereyra-Irujo GA, Aguirrezabal LA. Sunflower yield and oil quality interactions and variability : Analysis through a simple simulation model. Agric For Met 2007 ; 143 : 252–265. [CrossRef] [Google Scholar]
  • Sinclair TR. Theoretical analysis of soil and plant traits influencing daily plant water flux on drying soils. Agron J 2005 ; 97 : 1148–1152. [CrossRef] [Google Scholar]
  • Todorovic M, Albrizio R, Zivotic L, Abi Saab MT, Stöckle C, Steduto P. Assessment of AquaCrop, CropSyst, and WOFOST models in the simulation of sunflower growth under different water regimes. Agron J 2009 ; 101 : 509–521. [CrossRef] [Google Scholar]
  • Uyttewaal V. Protocole d’expérimentation : tournesol. Essais de valeur agronomique et technologique. Campagne 2010, geves.zarcrom.fr. [Google Scholar]
  • Villalobos F, Hall A, Ritchie J, Orgaz F. OILCROP-SUN : a development, growth and yield model of the sunflower crop. Agron J 1996 ; 88 : 403–415. [CrossRef] [Google Scholar]

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