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Using greenlab model to assist to analyse rice morphogenesis : Case of Phyllo mutant and its wild type 'Nippon Bare'

Song You Hong, Luquet Delphine, Mathieu Amélie, De Reffye Philippe, Dingkuhn Michaël. 2007. Using greenlab model to assist to analyse rice morphogenesis : Case of Phyllo mutant and its wild type 'Nippon Bare'. In : Plant growth modeling and applications. Proceedings PMA06 : The Second International Symposium on plant growth modeling, simulation, visualization and applications, Beijing, China, November 13-17, 2006. Fourcaud Thierry (ed.), Zhang Xiao-Peng (ed.). Institut d'automatique-LIAMA, IEEE. Los Alamitos : IEEE Computer Society, pp. 169-172. ISBN 0-7695-2851-1 International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA06). 2, Beijing, Chine, 13 November 2006/17 November 2006.

Paper with proceedings
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Abstract : The architectural mathematical model Greenlab was tested for assisting plant phenotyping on two rice genotypes: Nippon Bare (NB) and Phyllo, its organogenesis mutant. A 50 days experiment was realized to compare, at organ level on NB, tiller pruned NB and Phyllo, morphogenesis, sugar partitioning and assimilation rate. Phenotypic data were used to optimize Greenlab parameters, considered then as process based traits. Experimental analysis showed weak modifications of pruned rice morphogenesis occurred. In contrast, Phyllo showed quicker organogenesis, small organs, no tillering, half the assimilation rate of NB, modified root sugar metabolism. Greenlab fittings on observations were good except for NB, mainly because of the difficulty of correctly optimizing numerous small leaf sinks (generated by process) compared to a single big root sink compartment. However, Greenlab successfully sensed the phenotypic differences underlined experimentally, in particular, modified carbon sink to source relationships for Phyllo. Modeling analysis of rice tillering cases shows that Greenlab has a great potential as heuristic approaches to be applied to plant phenotyping, more case studies are proposed to testing the model as a suitable tool to assist to screen plant phenotype. (Résumé d'auteur)

Mots-clés Agrovoc : Oryza sativa, Morphogénèse, Modèle mathématique, Modèle de simulation, Génotype, Phénotype, Tallage

Mots-clés complémentaires : Sink effect

Classification Agris : U10 - Computer science, mathematics and statistics
F62 - Plant physiology - Growth and development
F50 - Plant structure

Auteurs et affiliations

  • Song You Hong, CAAS (CHN)
  • Luquet Delphine, CIRAD-AMIS-UPR Modélisation intégrative (FRA) ORCID: 0000-0002-2543-7140
  • Mathieu Amélie, Ecole centrale Paris (FRA)
  • De Reffye Philippe, CIRAD-AMIS-UMR AMAP (FRA)
  • Dingkuhn Michaël, CIRAD-AMIS-UPR Modélisation intégrative (FRA)

Autres liens de la publication

Source : Cirad - Agritrop (https://agritrop.cirad.fr/544924/)

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