Plant growth architecture and production dynamics: A set of e-learning resources

Jaeger Marc, De Reffye Philippe, Sabatier Sylvie-Annabel, Caraglio Yves, Krit Hatem, Lafond Marie-Hélène, Letort Véronique, Heuvelink Ep, Motisi Natacha, Zhang Bao Gui, Kang Meng Zhen. 2016. Plant growth architecture and production dynamics: A set of e-learning resources. In : 2016 IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA). IEEE, FSPMA. Qingdao : IEEE, 83-89. ISBN 978-1-5090-1659-4 IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA 2016), Qingdao, Chine, 7 Novembre 2016/11 Novembre 2016.

Résumé : FSPM Plant and crop models are popular in the research community and there is increasing interest in their applications, from yield prediction to crop management optimization. A wide range of approaches and their software implementation can be found in the literature, with a large diversity in modelling scale (from plant organ to plot levels) and scope (structural, functional or both), as well as generic or specific aim. However, most of these approaches rely on similar key assumptions and methods related to different disciplines: botany for plant structure, eco-physiology for production, statistics and dynamic system theory for parameter identification and estimation. Web disseminated plant and crop models learning supports are not numerous, often specific, and partial. We present here a set of e-learning resources, named “Plant growth architecture and production dynamics” which describes the main notions from plant morphology and architecture, eco-physiology and applied mathematics necessary to the understanding of most plant and crop models, and their typology. In this paper, after an overview of existing learning resources on plant and crop modelling which, we believe, might be of interest for the whole research community, we present the proposed resource, which uses the GreenLab model as illustration, organized as follows: Five standalone introductive disciplinary resources; botanical notions, assumptions in eco-physiology, basis in data processing, introduction to models, introduction to GreenLab : An FSPM example in more details: GreenLab positioning, its basis, structure modelling, production modelling, and applications including model fitting and a study case ; Tools: inline (for structure analysis and statistics), online (access to fitters for instance) and access to download simulators and their documentation ; Glossary, bibliography, web site collection, and a pedagogic kit for instructors Supported by the French Sustainable Development Virtual University (UVED), the e-learning resource http://greenlab.cirad. fr/GLUVED/ was labelled after evaluation, with its 5 independent introductive learning chapters and its major course. These self-learning pedagogic chapters, written in English, can be combined or not, and share similar organization. Pages are indexed by website indexing tools that allow following the site activity and rate of visits.

Classification Agris : F50 - Anatomie et morphologie des plantes
F62 - Physiologie végétale - Croissance et développement
C20 - Vulgarisation
C10 - Enseignement
U10 - Informatique, mathématiques et statistiques
C30 - Documentation et information

Auteurs et affiliations

• Jaeger Marc, CIRAD-BIOS-UMR AMAP (FRA)
• De Reffye Philippe
• Sabatier Sylvie-Annabel, CIRAD-BIOS-UMR AMAP (FRA)
• Caraglio Yves, CIRAD-BIOS-UMR AMAP (FRA)
• Krit Hatem, CIRAD-BIOS-UMR AMAP (FRA)
• Lafond Marie-Hélène, CIRAD-BIOS-UMR AMAP (FRA)
• Letort Véronique, CentraleSupélec (FRA)
• Heuvelink Ep, Wageningen University (NLD)
• Motisi Natacha, CIRAD-BIOS-UPR Bioagresseurs (FRA) ORCID: 0000-0001-8313-6728
• Zhang Bao Gui, CAU [China Agricultural University] (CHN)
• Kang Meng Zhen, CAS (CHN)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/584224/)

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