S. Chapman, M. Cooper, D. Podlich, and G. Hammer, Evaluating Plant Breeding Strategies by Simulating Gene Action and Dryland Environment Effects, Agronomy Journal, vol.95, issue.1, pp.99-113, 2003.
DOI : 10.2134/agronj2003.0099

G. Hammer, M. Cooper, F. Tardieu, S. Welch, B. Walsh et al., Models for navigating biological complexity in breeding improved crop plants, Trends in Plant Science, vol.11, issue.12, pp.11-587, 2006.
DOI : 10.1016/j.tplants.2006.10.006

F. Tardieu, Virtual plants: modelling as a tool for the genomics of tolerance to water deficit, Trends in Plant Science, vol.8, issue.1, pp.9-14, 2003.
DOI : 10.1016/S1360-1385(02)00008-0

X. Yin, P. Stam, M. J. Kropff, and H. C. Schapendonk-ad, Crop Modeling, QTL Mapping, and Their Complementary Role in Plant Breeding, Agronomy Journal, vol.95, issue.1, pp.90-98, 2003.
DOI : 10.2134/agronj2003.0090

X. Yin, P. Struik, and M. Kropff, Role of crop physiology in predicting gene-to-phenotype relationships, Trends in Plant Science, vol.9, issue.9, pp.426-432, 2004.
DOI : 10.1016/j.tplants.2004.07.007

E. Heuvelink, L. F. Marcelis, M. J. Bakker, and A. Van-der-ploeg, Use of plant growth models to evaluate physiological traits in genotypes of horticultural crops

J. H. Spiertz, P. C. Struik, and H. H. Van-laar, Scale and complexity in plant systems research: gene-plant-crop relations, pp.223-233
DOI : 10.1007/1-4020-5906-X

M. Reymond, B. Muller, A. Leonardi, A. Charcosset, and F. Tardieu, Combining Quantitative Trait Loci Analysis and an Ecophysiological Model to Analyze the Genetic Variability of the Responses of Maize Leaf Growth to Temperature and Water Deficit, PLANT PHYSIOLOGY, vol.131, issue.2, pp.664-675, 2003.
DOI : 10.1104/pp.013839

G. H. Buck-sorlin, K. Bachmann, and . Agronomie, Simulating the morphology of barley spike phenotypes using genotype information, Agronomie, vol.20, issue.6, pp.691-702, 2000.
DOI : 10.1051/agro:2000161

URL : https://hal.archives-ouvertes.fr/hal-00886072

G. L. Hammer, S. Chapman, E. Van-oosterom, and D. W. Podlich, The search for QTL in Barley (Hordeum Vulgare L) using a new mapping population " . Cellular & molecular biology letters Trait physiology and crop modelling as a framework to link phenotypic complexity to underlying genetic systems, Australian Journal of Agricultural Research, vol.1011, issue.56, pp.523-535, 2002.

C. Donald, The breeding of crop ideotypes, Euphytica, vol.30, issue.3, pp.385-403, 1968.
DOI : 10.1007/BF00056241

A. D. Beattie, J. Larsen, T. E. Michaels, and K. P. Pauls, L.) ideotype, Genome, vol.46, issue.3, pp.411-422, 2003.
DOI : 10.1139/g03-015

URL : https://hal.archives-ouvertes.fr/hal-00928212

F. A. Langton and K. E. Cockshull, An ideotpye of chrysanthemum (C. Morifolium Ramat, Acta Horticultura (ISHS), vol.63, pp.165-176, 1976.

T. A. Martin, K. H. Johnsen, and T. L. White, Ideotype development in southern pine: rationale and strategies for overcoming scale related obstacles, Forest Science, issue.1, pp.47-68, 2001.

M. Dingkuhn, D. Luquet, A. Clément-vidal, L. Tambour, H. K. Kim et al., Is Plant Growth Driven by Sink Regulation?, Scale and complexity in plant systems research, pp.157-170
DOI : 10.1007/1-4020-5906-X_13

Y. Ma, B. Li, Z. Zhan, Y. Guo, D. Luquet et al., Parameter Stability of the Functional-Structural Plant Model GREENLAB as Affected by Variation within Populations, among Seasons and among Growth Stages, Annals of Botany, vol.99, issue.1, pp.61-73, 2007.
DOI : 10.1093/aob/mcl245

URL : https://hal.archives-ouvertes.fr/inria-00122470

P. Cournède, M. Kang, A. Mathieu, J. Barczi, H. Yan et al., Reffye (de) P. « Structural factorization of plants to compute their functional and architectural growth, Simulation, issue.7, pp.82-427, 2006.

Y. Guo, Y. T. Ma, Z. G. Zhan, B. G. Li, M. Dingkuhn et al., Parameter Optimization and Field Validation of the Functional-Structural Model GREENLAB for Maize, Annals of Botany, vol.97, issue.2, pp.217-230, 2006.
DOI : 10.1093/aob/mcj033

URL : https://hal.archives-ouvertes.fr/inria-00121234

H. Yan and M. Kang, A Dynamic, Architectural Plant Model Simulating Resource-dependent Growth, Annals of Botany, vol.93, issue.5, pp.591-602, 2004.
DOI : 10.1093/aob/mch078

URL : https://hal.archives-ouvertes.fr/inria-00122497

C. J. Basten, B. S. Weir, and Z. B. Zeng, QTL Cartographer v1, 2005.

V. Letort, P. Mahe, P. H. Cournede, P. De-reffye, and B. Courtois, Quantitative Genetics and Functional-Structural Plant Growth Models: Simulation of Quantitative Trait Loci Detection for Model Parameters and Application to Potential Yield Optimization, Annals of Botany, vol.101, issue.8
DOI : 10.1093/aob/mcm197

URL : https://hal.archives-ouvertes.fr/halsde-00288538

L. Wu, P. De-reffye, L. Dimet, F. X. Hu, and B. G. , Optimization of source-sink relationships based on a plant functional-structural model: a case study on maize, Proc. Plant Growth Modeling and Applications (PMA'03), pp.285-294, 2003.

K. Sastry, G. Kendall, and D. Goldberg, Genetic algorithms, Search Methodologies: Introductory Tutorials in Optimisation, Decision Support and Search Techniques, pp.97-125, 2005.