A virtual plant that responds to the environment like a real one: the case for chrysanthemum

Kang Meng Zhen, Heuvelink Ep, Carvalho Susana M.P., De Reffye Philippe. 2012. A virtual plant that responds to the environment like a real one: the case for chrysanthemum. New Phytologist, 195 (2) : pp. 384-395.

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Quartile : Outlier, Sujet : PLANT SCIENCES

Abstract : Plants respond to environmental change through alterations in organ size, number and biomass. However, different phenotypes are rarely integrated in a single model, and the prediction of plant responses to environmental conditions is challenging. The aim of this study was to simulate and predict plant phenotypic plasticity in development and growth using an organ-level functional-structural plant model, GreenLab. Chrysanthemum plants were grown in climate chambers in 16 different environmental regimes: four different temperatures (15, 18, 21 and 24°C) combined with four different light intensities (40%, 51%, 65% and 100%, where 100% is 340 ?mol m?2 s?1).Measurements included plant height, flower number and major organ dry mass (main and side-shoot stems, main and side-shoot leaves and flowers). To describe the basipetal flowering sequence, a position-dependent growth delay function was introduced into the model. The model was calibrated on eight treatments. It was capable of simulating multiple plant phenotypes (flower number, organ biomass, plant height) with visual output. Furthermore, it predicted well the phenotypes of the other eight treatments (validation) through parameter interpolation. This model could potentially serve to bridge models of different scales, and to link energy input to crop output in glasshouses. (Résumé d'auteur)

Mots-clés Agrovoc : Dendranthema morifolium, Modèle de simulation, Modèle végétal, Phénotype, Adaptabilité, Développement biologique, Facteur du milieu, Température, Régime lumineux, Floraison, Croissance

Mots-clés géographiques Agrovoc : Pays-Bas

Classification Agris : F62 - Plant physiology - Growth and development
U10 - Mathematical and statistical methods

Champ stratégique Cirad : Axe 1 (2005-2013) - Intensification écologique

Auteurs et affiliations

  • Kang Meng Zhen, Institute of Automation (CHN)
  • Heuvelink Ep, Wageningen University (NLD)
  • Carvalho Susana M.P., Wageningen University (NLD)
  • De Reffye Philippe, CIRAD-BIOS-UMR AMAP (FRA)

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