ADEL-maize: an L-system based model for the integration of growth processes from the organ to the canopy. Application to regulation of morphogenesis by light availability
Agronomie, 19 3-4 (1999) 313-327
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
A parametric maize leaf model quantifying morphology and geometry via 3D triangle mesh
Zhaocheng Xiang and Yufeng GeComputers and Electronics in Agriculture 243 111218 (2026)
https://doi.org/10.1016/j.compag.2025.111218
(2025)
https://doi.org/10.1101/2025.08.01.668074
Elimination of Intraspecific Competition Does Not Improve Maize Leaf Physiological and Biochemical Responses to Topsoil Degradation
Shan Zhang, Xiaolong Zhang, Zechen Jia, Kaichang Liu, Zhongxiao Guo, Yanjie Lv and Yongjun WangPlants 14 (16) 2470 (2025)
https://doi.org/10.3390/plants14162470
Historical increases of maize leaf area index in the US Corn Belt due primarily to plant density increases
George Kalogeropoulos, Elvis F. Elli, Slobodan Trifunovic and Sotirios V. ArchontoulisField Crops Research 318 109615 (2024)
https://doi.org/10.1016/j.fcr.2024.109615
RGB camera-based monocular stereo vision applied in plant phenotype: A survey
Hua Yin, Shan Luo, Jianjun Tang and Jing HuaComputers and Electronics in Agriculture 227 109523 (2024)
https://doi.org/10.1016/j.compag.2024.109523
173 (2024)
https://doi.org/10.1007/978-981-97-2498-7_8
Comparing and combining data-driven and model-driven approaches to monitor wheat green area index with high spatio-temporal resolution satellites
Mingxia Dong, Shouyang Liu, Ruibo Jiang, Jianbo Qi, Benoit de Solan, Alexis Comar, Linyuan Li, Wenjuan Li, Yanfeng Ding and Frédéric BaretRemote Sensing of Environment 305 114118 (2024)
https://doi.org/10.1016/j.rse.2024.114118
A Dynamic L-System-Based Architectural Maize Model for 3-D Radiative Transfer Simulation
Zhijun Zhen, Shengbo Chen, Tiangang Yin, Cheng Han, Eric Chavanon, Nicolas Lauret, Jordan Guilleux and Jean-Philippe GastelluIEEE Transactions on Geoscience and Remote Sensing 62 1 (2024)
https://doi.org/10.1109/TGRS.2023.3348511
2722 35 (2024)
https://doi.org/10.1007/978-1-0716-3477-6_3
Crop/Plant Modeling Supports Plant Breeding: II. Guidance of Functional Plant Phenotyping for Trait Discovery
Pengpeng Zhang, Jingyao Huang, Yuntao Ma, Xiujuan Wang, Mengzhen Kang and Youhong SongPlant Phenomics 5 0091 (2023)
https://doi.org/10.34133/plantphenomics.0091
Geometric Wheat Modeling and Quantitative Plant Architecture Analysis Using Three-Dimensional Phytomers
Wushuai Chang, Weiliang Wen, Chenxi Zheng, Xianju Lu, Bo Chen, Ruiqi Li and Xinyu GuoPlants 12 (3) 445 (2023)
https://doi.org/10.3390/plants12030445
121 157 (2023)
https://doi.org/10.1007/978-981-99-0577-5_8
Nitrogen availability determines the vertical patterns of accumulation, partitioning, and reallocation of dry matter and nitrogen in maize
Panpan Fan, Bo Ming, Jochem B. Evers, Yaoyao Li, Shaokun Li, Ruizhi Xie and Niels P.R. AntenField Crops Research 297 108927 (2023)
https://doi.org/10.1016/j.fcr.2023.108927
Use of 3D modeling to refine predictions of canopy light utilization: A comparative study on canopy photosynthesis models with different dimensions
Shenghao Gu, Weiliang Wen, Tianjun Xu, Xianju Lu, Zetao Yu, Xinyu Guo and Chunjiang ZhaoFrontiers in Plant Science 13 (2022)
https://doi.org/10.3389/fpls.2022.735981
Is the turbid medium-based approach pertinent for estimating light interception when simulating the growth of a crop in an agri-photovoltaic system?
Sylvain Edouard, Abraham J. Escobar-Gutierrez, Mike Van Iseghem, Romain Barillot, Gaëtan Louarn and Didier CombesBiosystems Engineering 224 131 (2022)
https://doi.org/10.1016/j.biosystemseng.2022.10.006
Modeling Realistic 3d Agricultural Vegetations Using Photometric-Based Approach and its Application to Weed Detection
Chengsong Hu, J. Alex Thomasson, Chris Reberg-Horton, Steven Mirsky and Muthukumar BagavathiannanSSRN Electronic Journal (2022)
https://doi.org/10.2139/ssrn.4001357
Virtual Plant of Basil (Ocimum Basillicum) by Using Functional-Structural Plant Model
Ditdit Nugeraha Utama and Heraldo Y PurwantonoIOP Conference Series: Earth and Environmental Science 998 (1) 012025 (2022)
https://doi.org/10.1088/1755-1315/998/1/012025
Virtual Plant Computational Model of Green-Leaf Vegetable Plant Bok Choy (Brassica chinensis L.) for Investment Decision
D. N. Utama and A. WibowoIOP Conference Series: Earth and Environmental Science 998 (1) 012049 (2022)
https://doi.org/10.1088/1755-1315/998/1/012049
L-system models for image-based phenomics: case studies of maize and canola
Mikolaj Cieslak, Nazifa Khan, Pascal Ferraro, Raju Soolanayakanahally, Stephen J Robinson, Isobel Parkin, Ian McQuillan, Przemyslaw Prusinkiewicz and Steve Longin silico Plants 4 (1) (2022)
https://doi.org/10.1093/insilicoplants/diab039
3D phytomer-based geometric modelling method for plants—the case of maize
Weiliang Wen, Yongjian Wang, Sheng Wu, Kai Liu, Shenghao Gu, Xinyu Guo and Tom BuckleyAoB PLANTS 13 (5) (2021)
https://doi.org/10.1093/aobpla/plab055
Modeling Maize Canopy Morphology in Response to Increased Plant Density
Liang He, Weiwei Sun, Xiang Chen, Liqi Han, Jincai Li, Yuanshan Ma and Youhong SongFrontiers in Plant Science 11 (2021)
https://doi.org/10.3389/fpls.2020.533514
Simulating grass phenotypic plasticity as an emergent property of growth zone responses to carbon and nitrogen metabolites
Marion Gauthier, Romain Barillot, Bruno Andrieu, Tsu-Wei Chen, Stephen P Long and Tsu-Wei Chenin silico Plants 3 (2) (2021)
https://doi.org/10.1093/insilicoplants/diab034
Functional–Structural Plant Models Mission in Advancing Crop Science: Opportunities and Prospects
Soualihou Soualiou, Zhiwei Wang, Weiwei Sun, Philippe de Reffye, Brian Collins, Gaëtan Louarn and Youhong SongFrontiers in Plant Science 12 (2021)
https://doi.org/10.3389/fpls.2021.747142
Contrasting phenotypes emerging from stable rules: A model based on self-regulated control loops captures the dynamics of shoot extension in contrasting maize phenotypes
T Vidal and B AndrieuAnnals of Botany 126 (4) 615 (2020)
https://doi.org/10.1093/aob/mcz168
Two decades of functional–structural plant modelling: now addressing fundamental questions in systems biology and predictive ecology
Gaëtan Louarn and Youhong SongAnnals of Botany 126 (4) 501 (2020)
https://doi.org/10.1093/aob/mcaa143
V-Mango: a functional–structural model of mango tree growth, development and fruit production
Frédéric Boudon, Séverine Persello, Alexandra Jestin, et al.Annals of Botany 126 (4) 745 (2020)
https://doi.org/10.1093/aob/mcaa089
A new empirical equation to describe the vertical leaf distribution profile of maize
P. P. Fan, Y. Y. Li, J. B. Evers, B. Ming, C. X. Wang, S. K. Li and R. Z. XieThe Journal of Agricultural Science 158 (8-9) 676 (2020)
https://doi.org/10.1017/S0021859621000010
A generic individual-based model can predict yield, nitrogen content, and species abundance in experimental grassland communities
Lucas Faverjon, Abraham Escobar-Gutiérrez, Isabelle Litrico, Bernadette Julier and Gaëtan LouarnJournal of Experimental Botany 70 (9) 2491 (2019)
https://doi.org/10.1093/jxb/ery323
A three-dimensional canopy photosynthesis model in rice with a complete description of the canopy architecture, leaf physiology, and mechanical properties
Tian-Gen Chang, Honglong Zhao, Ning Wang, et al.Journal of Experimental Botany 70 (9) 2479 (2019)
https://doi.org/10.1093/jxb/ery430
Systems models, phenomics and genomics: three pillars for developing high-yielding photosynthetically efficient crops
Tian-Gen Chang, Shuoqi Chang, Qing-Feng Song, Shahnaz Perveen and Xin-Guang Zhuin silico Plants 1 (1) (2019)
https://doi.org/10.1093/insilicoplants/diy003
Investigation of complex canopies with a functional–structural plant model as exemplified by leaf inclination effect on the functioning of pure and mixed stands of wheat during grain filling
Romain Barillot, Camille Chambon, Christian Fournier, et al.Annals of Botany 123 (4) 727 (2019)
https://doi.org/10.1093/aob/mcy208
Early assessing performance and resistance of Colombian rubber tree genotypes under high South American Leaf Blight pressure in Amazon
Armando Sterling, Lyda Constanza Galindo-Rodríguez, Yerson Dubán Suárez-Córdoba, Gina Velasco-Anacona, Tatiana Andrade-Ramírez and Adriana Karina Gómez-TorresIndustrial Crops and Products 141 111775 (2019)
https://doi.org/10.1016/j.indcrop.2019.111775
Use of computational modeling combined with advanced visualization to develop strategies for the design of crop ideotypes to address food security
A J Christensen, Venkatraman Srinivasan, John C Hart and Amy Marshall-ColonNutrition Reviews 76 (5) 332 (2018)
https://doi.org/10.1093/nutrit/nux076
Mixed-Effects Estimation in Dynamic Models of Plant Growth for the Assessment of Inter-individual Variability
Charlotte Baey, Amélie Mathieu, Alexandra Jullien, Samis Trevezas and Paul-Henry CournèdeJournal of Agricultural, Biological and Environmental Statistics 23 (2) 208 (2018)
https://doi.org/10.1007/s13253-017-0307-4
69 (2018)
https://doi.org/10.1109/PMA.2018.8611572
Characterization of the Effect of Increased Plant Density on Canopy Morphology and Stalk Lodging Risk
Alam Sher, Aaqil Khan, Umair Ashraf, Hui Hui Liu and Jin Cai LiFrontiers in Plant Science 9 (2018)
https://doi.org/10.3389/fpls.2018.01047
Coupling individual kernel-filling processes with source–sink interactions into GREENLAB-Maize
Yuntao Ma, Youjia Chen, Jinyu Zhu, et al.Annals of Botany 121 (5) 961 (2018)
https://doi.org/10.1093/aob/mcx189
Using numerical plant models and phenotypic correlation space to design achievable ideotypes
Victor Picheny, Pierre Casadebaig, Ronan Trépos, Robert Faivre, David Da Silva, Patrick Vincourt and Evelyne CostesPlant, Cell & Environment 40 (9) 1926 (2017)
https://doi.org/10.1111/pce.13001
189 (2016)
https://doi.org/10.1109/FSPMA.2016.7818306
33 (2016)
https://doi.org/10.1007/978-3-319-20562-5_2
A geometrical model for testing bilateral symmetry of bamboo leaf with a simplified Gielis equation
Shuyan Lin, Li Zhang, Gadi V. P. Reddy, Cang Hui, Johan Gielis, Yulong Ding and Peijian ShiEcology and Evolution 6 (19) 6798 (2016)
https://doi.org/10.1002/ece3.2407
A non linear mixed effects model of plant growth and estimation via stochastic variants of the EM algorithm
Charlotte Baey, Samis Trevezas and Paul-Henry CournèdeCommunications in Statistics - Theory and Methods 45 (6) 1643 (2016)
https://doi.org/10.1080/03610926.2014.930909
STATISTICAL MODEL FOR THE RELATIONSHIP BETWEEN MAIZE KERNEL ORIENTATION AND SEED LEAF AZIMUTH
ADRIAN KOLLER, GUILHERME TORRES, MICHAEL BUSER, et al.Experimental Agriculture 52 (3) 359 (2016)
https://doi.org/10.1017/S0014479715000149
10033 1003350 (2016)
https://doi.org/10.1117/12.2246540
Environmentally Sustainable Viticulture
H Schultz and M StollEnvironmentally Sustainable Viticulture 209 (2015)
https://doi.org/10.1201/b18226-11
TraitCapture: genomic and environment modelling of plant phenomic data
Tim B Brown, Riyan Cheng, Xavier RR Sirault, et al.Current Opinion in Plant Biology 18 73 (2014)
https://doi.org/10.1016/j.pbi.2014.02.002
Optimal crop canopy architecture to maximise canopy photosynthetic CO2 uptake under elevated CO2 ? a theoretical study using a mechanistic model of canopy photosynthesis
Qingfeng Song, Guilian Zhang and Xin-Guang ZhuFunctional Plant Biology 40 (2) 108 (2013)
https://doi.org/10.1071/FP12056
Impacts of plant growth and architecture on pathogen processes and their consequences for epidemic behaviour
A. Calonnec, J-B. Burie, M. Langlais, et al.European Journal of Plant Pathology 135 (3) 479 (2013)
https://doi.org/10.1007/s10658-012-0111-5
Modelling the interindividual variability of organogenesis in sugar beet populations using a hierarchical segmented model
Charlotte Baey, Anne Didier, Sébastien Lemaire, Fabienne Maupas and Paul-Henry CournèdeEcological Modelling 263 56 (2013)
https://doi.org/10.1016/j.ecolmodel.2013.04.013
Plant architecture, its diversity and manipulation in agronomic conditions, in relation with pest and pathogen attacks
E. Costes, P. E. Lauri, S. Simon and B. AndrieuEuropean Journal of Plant Pathology 135 (3) 455 (2013)
https://doi.org/10.1007/s10658-012-0158-3
(2012)
https://doi.org/10.2514/6.2012-3523
185 (2011)
https://doi.org/10.1007/978-1-4020-9132-2_7
Characterization of the interactions between architecture and source–sink relationships in winter oilseed rape (Brassica napus) using the GreenLab model
Alexandra Jullien, Amélie Mathieu, Jean-Michel Allirand, et al.Annals of Botany 107 (5) 765 (2011)
https://doi.org/10.1093/aob/mcq205
Modelling photo‐modulated internode elongation in growing glasshouse cucumber canopies
Katrin Kahlen and Hartmut StützelNew Phytologist 190 (3) 697 (2011)
https://doi.org/10.1111/j.1469-8137.2010.03617.x
160 (2011)
https://doi.org/10.1109/CGIV.2011.13
Realistic Simulation of Rice Plant
Wei-long DING, Yu-ping ZHANG, Qian-yuan ZHANG, De-feng ZHU and Qi CHENRice Science 18 (3) 224 (2011)
https://doi.org/10.1016/S1672-6308(11)60031-0
Towards aspect-oriented functional–structural plant modelling
Mikolaj Cieslak, Alla N. Seleznyova, Przemyslaw Prusinkiewicz and Jim HananAnnals of Botany 108 (6) 1025 (2011)
https://doi.org/10.1093/aob/mcr121
NEMA, a functional–structural model of nitrogen economy within wheat culms after flowering. I. Model description
Jessica Bertheloot, Paul-Henry Cournède and Bruno AndrieuAnnals of Botany 108 (6) 1085 (2011)
https://doi.org/10.1093/aob/mcr119
Modelling the effect of wheat canopy architecture as affected by sowing density on Septoria tritici epidemics using a coupled epidemic–virtual plant model
Rim Baccar, Christian Fournier, Tino Dornbusch, et al.Annals of Botany 108 (6) 1179 (2011)
https://doi.org/10.1093/aob/mcr126
Estimation of maize canopy properties from remote sensing by inversion of 1-D and 4-D models
R. Casa, F. Baret, S. Buis, et al.Precision Agriculture 11 (4) 319 (2010)
https://doi.org/10.1007/s11119-010-9162-9
Canonical modelling of spring barley growth using dry matter weight data from a field experiment
Paweł Jankowski and Dariusz GozdowskiEcological Modelling 221 (2) 161 (2010)
https://doi.org/10.1016/j.ecolmodel.2009.09.012
Lamina2Shape—An image processing tool for an explicit description of lamina shape tested on winter wheat (Triticum aestivum L.)
Tino Dornbusch and Bruno AndrieuComputers and Electronics in Agriculture 70 (1) 217 (2010)
https://doi.org/10.1016/j.compag.2009.10.009
Simulation of wheat growth and development based on organ-level photosynthesis and assimilate allocation
J. B. Evers, J. Vos, X. Yin, et al.Journal of Experimental Botany 61 (8) 2203 (2010)
https://doi.org/10.1093/jxb/erq025
393 (2010)
https://doi.org/10.1109/ICICIP.2010.5564242
Functional–structural plant modelling: a new versatile tool in crop science
J. Vos, J. B. Evers, G. H. Buck-Sorlin, et al.Journal of Experimental Botany 61 (8) 2101 (2010)
https://doi.org/10.1093/jxb/erp345
Maize canopy production under contrasted water regimes
Y. Song, C.J. Birch and J. HananAnnals of Applied Biology 157 (1) 111 (2010)
https://doi.org/10.1111/j.1744-7348.2010.00412.x
Some critical issues in environmental physiology of grapevines: future challenges and current limitations
H.R. SCHULTZ and M. STOLLAustralian Journal of Grape and Wine Research 16 4 (2010)
https://doi.org/10.1111/j.1755-0238.2009.00074.x
Defining how aging Pseudotsuga and Abies compensate for multiple stresses through multi-criteria assessment of a functional-structural model
M. C. Kennedy, E. D. Ford and T. M. HinckleyTree Physiology 30 (1) 3 (2010)
https://doi.org/10.1093/treephys/tpp096
Emerging agroscience
Éric Lichtfouse, Marjolaine Hamelin, Mireille Navarrete, Philippe Debaeke and Agnès HenriAgronomy for Sustainable Development 30 (1) 1 (2010)
https://doi.org/10.1051/agro/2009055
Modelling leaf shape dynamics in rice
Y. Zhu, L. Chang, L. Tang, et al.NJAS: Wageningen Journal of Life Sciences 57 (1) 73 (2009)
https://doi.org/10.1016/j.njas.2009.11.001
Crop Modeling and Decision Support
Sheng-Lian Lu, Xin-Yu Guo, Chun-Jiang Zhao and Chang-Feng LiCrop Modeling and Decision Support 99 (2009)
https://doi.org/10.1007/978-3-642-01132-0_12
Crop Modeling and Decision Support
Li-Ying Chang, Ming-Han Chi and Dan-Feng HuangCrop Modeling and Decision Support 92 (2009)
https://doi.org/10.1007/978-3-642-01132-0_11
Sénescence d’un pied de maïs : évolution de la floraison à la récolte
Laurette Combe and Abraham J. Escobar-GutiérrezBotany 87 (11) 1036 (2009)
https://doi.org/10.1139/B09-066
Crop Modeling and Decision Support
P. de Reffye, E. Heuvelink, Yan Guo, Bao-Gang Hu and Bao-Gui ZhangCrop Modeling and Decision Support 130 (2009)
https://doi.org/10.1007/978-3-642-01132-0_15
167 (2009)
https://doi.org/10.1109/PMA.2009.74
270 (2009)
https://doi.org/10.1109/PMA.2009.56
OpenAlea: a visual programming and component-based software platform for plant modelling
Christophe Pradal, Samuel Dufour-Kowalski, Frédéric Boudon, Christian Fournier and Christophe GodinFunctional Plant Biology 35 (10) 751 (2008)
https://doi.org/10.1071/FP08084
Estimation of light interception in research environments: a joint approach using directional light sensors and 3D virtual plants applied to sunflower (Helianthus annuus) andArabidopsis thalianain natural and artificial conditions
Karine Chenu, Hervé Rey, Jean Dauzat, Guilioni Lydie and Jérémie LecœurFunctional Plant Biology 35 (10) 850 (2008)
https://doi.org/10.1071/FP08057
Architectural modelling of maize under water stress
Colin J. Birch, David Thornby, Steve Adkins, Bruno Andrieu and Jim HananAustralian Journal of Experimental Agriculture 48 (3) 335 (2008)
https://doi.org/10.1071/EA06105
Analysis of maize canopy development under water stress and incorporation into the ADEL-Maize model
Youhong Song, Colin Birch and Jim HananFunctional Plant Biology 35 (10) 925 (2008)
https://doi.org/10.1071/FP08055
Simulations of virtual plants reveal a role for SERRATE in the response of leaf development to light in Arabidopsis thaliana
Karine Chenu, Nicolàs Franck and Jérémie LecoeurNew Phytologist 175 (3) 472 (2007)
https://doi.org/10.1111/j.1469-8137.2007.02123.x
GRAAL-CN: A model of GRowth, Architecture and ALlocation for Carbon and Nitrogen dynamics within whole plants formalised at the organ level
Jean-Louis Drouet and Loïc PagèsEcological Modelling 206 (3-4) 231 (2007)
https://doi.org/10.1016/j.ecolmodel.2007.03.036
Scale and Complexity in Plant Systems Research
K. Chenu, C. Fournier, B. Andrieu and C. GiauffretWageningen UR Frontis Series, Scale and Complexity in Plant Systems Research 21 203 (2007)
https://doi.org/10.1007/1-4020-5906-X_16
Functional-Structural Plant Modelling in Crop Production
G.W.A.M. Van Der Heijden, P.H.B. De Visser and E. HeuvelinkFunctional-Structural Plant Modelling in Crop Production 13 (2007)
https://doi.org/10.1007/1-4020-6034-3_2
Functional-Structural Plant Modelling in Crop Production
M. Chelle and B. AndrieuFunctional-Structural Plant Modelling in Crop Production 75 (2007)
https://doi.org/10.1007/1-4020-6034-3_7
Functional-Structural Plant Modelling in Crop Production
C. Fournier, B. Andrieu, G. Buck-sorlin, et al.Functional-Structural Plant Modelling in Crop Production 175 (2007)
https://doi.org/10.1007/1-4020-6034-3_15
Kinetics of leaf extension in maize: Parameterization for two tropically adapted cultivars planted on two dates at Gatton
C.J. Birch, B. Andrieu, C. Fournier and C. KroesenEuropean Journal of Agronomy 27 (2-4) 215 (2007)
https://doi.org/10.1016/j.eja.2007.04.003
Simulating the effects of localized red:far‐red ratio on tillering in spring wheat (Triticum aestivum) using a three‐dimensional virtual plant model
Jochem B. Evers, Jan Vos, Michaël Chelle, Bruno Andrieu, Christian Fournier and Paul C. StruikNew Phytologist 176 (2) 325 (2007)
https://doi.org/10.1111/j.1469-8137.2007.02168.x
An architectural model of spring wheat: Evaluation of the effects of population density and shading on model parameterization and performance
Jochem B. Evers, Jan Vos, Christian Fournier, et al.Ecological Modelling 200 (3-4) 308 (2007)
https://doi.org/10.1016/j.ecolmodel.2006.07.042
L-DONAX, a growth model of the invasive weed species, Arundo donax L.
David Thornby, David Spencer, Jim Hanan and Anna SherAquatic Botany 87 (4) 275 (2007)
https://doi.org/10.1016/j.aquabot.2007.06.012
Functional-Structural Plant Modelling in Crop Production
M.Z. Kang and P. De ReffyeFunctional-Structural Plant Modelling in Crop Production 65 (2007)
https://doi.org/10.1007/1-4020-6034-3_6
3 (2006)
https://doi.org/10.1109/PMA.2006.17
164 (2006)
https://doi.org/10.1109/PMA.2006.20
Parameter Optimization and Field Validation of the Functional–Structural Model GREENLAB for Maize
YAN GUO, YUNTAO MA, ZHIGANG ZHAN, et al.Annals of Botany 97 (2) 217 (2006)
https://doi.org/10.1093/aob/mcj033
Physiology of maize II: Identification of physiological markers representative of the nitrogen status of maize (Zea mays) leaves during grain filling
Bertrand Hirel, Bruno Andrieu, Marie‐Hélène Valadier, Sylvain Renard, Isabelle Quilleré, Michael Chelle, Bernard Pommel, Christian Fournier and Jean‐Louis DrouetPhysiologia Plantarum 124 (2) 178 (2005)
https://doi.org/10.1111/j.1399-3054.2005.00511.x
Physiology of maize I: A comprehensive and integrated view of nitrogen metabolism in a C4 plant
Bertrand Hirel, Antoine Martin, Thérèse Tercé‐Laforgue, María‐Begoña Gonzalez‐Moro and José‐Maria EstavilloPhysiologia Plantarum 124 (2) 167 (2005)
https://doi.org/10.1111/j.1399-3054.2005.00510.x
Artificial Evolution
Claude LattaudLecture Notes in Computer Science, Artificial Evolution 2936 319 (2004)
https://doi.org/10.1007/978-3-540-24621-3_26
Linking physiological and architectural models of cotton
J.S Hanan and A.B HearnAgricultural Systems 75 (1) 47 (2003)
https://doi.org/10.1016/S0308-521X(01)00114-7
An efficient instantiation algorithm for simulating radiant energy transfer in plant models
Cyril Soler, François X. Sillion, Frédéric Blaise and Philippe DereffyeACM Transactions on Graphics 22 (2) 204 (2003)
https://doi.org/10.1145/636886.636890
6 3543 (2003)
https://doi.org/10.1109/IGARSS.2003.1294848