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Study on the effects of defoliation on the growth of cotton plant using the functional structural model GREENLAB

Zhan Zhigang, Rey Hervé, Li Dong, Guo Yan, Cournède Paul-Henry, De Reffye Philippe. 2007. Study on the effects of defoliation on the growth of cotton plant using the functional structural model GREENLAB. 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, 194-201. ISBN 0-7695-2851-1 International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA06). 2, Beijing, Chine, 13 Novembre 2006/17 Novembre 2006.

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Résumé : For the functional structural plant model GREENLAB, parameters for the source and sink relationships can be retrieved through model inversion with plant architectural data as targets. In order to study more precisely the production of source organs, a controlled defoliation experiment was performed on single-stemmed cotton plants. Four regular leaf-pruning treatments were implemented to produce single-stemmed plants that retained a given number of functional leaves (i.e., 6, 9, 12 and 15, respectively) at the top of stem during the whole period of plant development, and compared with control plants (single-stemmed plants retaining all the leaves). Results show that the most productive treatment in terms of fresh above-ground biomass was the treatment with 12 functional leaves retained, which were significantly greater than control plants. The optimized functional parameters of GREENLAB for the source and sink relationships were found to be affected in relation with the number of functional leaves retained on the plants.

Mots-clés Agrovoc : Gossypium hirsutum, croissance, défoliation, modèle de simulation, modèle mathématique, port de la plante, taille, anatomie végétale

Mots-clés complémentaires : Sink effect

Classification Agris : U10 - Informatique, mathématiques et statistiques
F62 - Physiologie végétale - Croissance et développement

Auteurs et affiliations

  • Zhan Zhigang, CAU [China Agricultural University] (CHN)
  • Rey Hervé, CIRAD-AMIS-UMR AMAP (FRA)
  • Li Dong, CAU [China Agricultural University] (CHN)
  • Guo Yan, CAU [China Agricultural University] (CHN)
  • Cournède Paul-Henry, Ecole centrale Paris (FRA)
  • De Reffye Philippe, CIRAD-AMIS-UMR AMAP (FRA)

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Source : Cirad - Agritrop (https://agritrop.cirad.fr/544941/)

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