A morphogenetic crop model for sugar-beet (Beta vulgaris L.)

Sébastien Lemaire 1 Fabienne Maupas 1 Paul-Henry Cournède 2, 3, * Philippe De Reffye 3, 4
* Auteur correspondant
3 DIGIPLANTE - Modélisation de la croissance et de l'architecture des plantes
MAS - Mathématiques Appliquées aux Systèmes - EA 4037, Inria Saclay - Ile de France, Ecole Centrale Paris, Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] : UMR
Abstract : This paper is the instructions for the proceeding of the International Symposium on Crop. Sugar beet crop models have rarely taken into account the morphogenetic process generating plant architecture despite the fact that plant architectural plasticity plays a key role during growth, especially under stress conditions. The objective of this paper is to develop this approach by applying the GreenLab model of plant growth to sugar beet and to study the potential advantages for applicative purposes. Experiments were conducted with husbandry practices in 2006. The study of sugar beet development, mostly phytomer appearance, organ expansion and leaf senescence, allowed us to define a morphogenetic model of sugar beet growth based on GreenLab. It simulates organogenesis, biomass production and biomass partitioning. The functional parameters controlling source-sink relationships during plant growth were estimated from organ and compartment dry masses, measured at seven different times, for samples of plants. The fitting results are good, which shows that the introduced framework is adapted to analyse source-sink dynamics and shoot-root allocation throughout the season. However, this approach still needs to be fully validated, particularly among seasons.
Type de document :
Communication dans un congrès
ISCMDS, Apr 2008, Nanjing, China. 2008
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  • HAL Id : inria-00336415, version 3
  • ARXIV : 0811.0581

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Sébastien Lemaire, Fabienne Maupas, Paul-Henry Cournède, Philippe De Reffye. A morphogenetic crop model for sugar-beet (Beta vulgaris L.). ISCMDS, Apr 2008, Nanjing, China. 2008. 〈inria-00336415v3〉

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