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Sensitivity Analysis of Light Interception to Geometrical Traits of Apple Trees: an in silico Study based on MAppleT model

Ligi Han 1 Jean-Christophe Soulié 1 Frédéric Boudon 2, 1 David da Silva 3 Thomas Cokelaer 2 Christophe Pradal 2, 1 Lauriane Rouan 1 Evelyne Costes 1
2 VIRTUAL PLANTS - Modeling plant morphogenesis at different scales, from genes to phenotype
UMR AGAP - Amélioration génétique et adaptation des plantes méditerranéennes et tropicales, INRA - Institut National de la Recherche Agronomique, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : The efficiency of light interception is a driving factor for plant transpiration and photosynthesis and contributes greatly to plant growth. For a fruit tree, the efficiency of light interception is also a key factor to improve yield quality. Such efficiency is highly dependent on the tree geometrical and topological organisation which may vary between genotypes or as a result of agronomic practices such as pruning. The purpose of this study was to use a functional-structural plant model in order to find out the major geometrical traits that influence the efficiency of light interception in apple trees. MAppleT, an architectural model of apple tree, and VPlants, a software platform with functionalities to simulate light environment, provided the basis for this work. The STAR, namely the silhouette to total area ratio, of leaves, was used to evaluate the light interception efficiency. The general methodology contained three steps: (1) manipulation of a set of geometrical parameters in MAppleT, such as those related to internode elongation, leaf area expansion and branching angle; (2) integration of the resulting tree architecture within the simulated light environment for calculation of STAR values at different scales; (3) analysis of the influence of the variation of each geometrical trait on the variance of STAR outputs. As expected, leaf area manipulation had a highest impact on SATR values. Interactions between input parameters were also found and are illustrated in the case of leaf area x internode length. This suggests that optimal combination(s) of the corresponding traits could be found, setting a target for genetic improvement as well as physiological studies on real apple trees.
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https://hal.inria.fr/hal-00828858
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Submitted on : Friday, May 31, 2013 - 4:27:36 PM
Last modification on : Friday, May 29, 2020 - 8:44:01 AM

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  • HAL Id : hal-00828858, version 1

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Ligi Han, Jean-Christophe Soulié, Frédéric Boudon, David da Silva, Thomas Cokelaer, et al.. Sensitivity Analysis of Light Interception to Geometrical Traits of Apple Trees: an in silico Study based on MAppleT model. 9th International Symposium on Modelling in Fruit Research and Orchard Management, 2011, Saint-Jean-sur-Richelieu, Canada. ⟨hal-00828858⟩

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