MuSCA: A multi-scale source–sink carbon allocation model to explore carbon allocation in plants. An application to static apple tree structures

Reyes F., Pallas Benoît, Pradal Christophe, Vaggi Federico, Zanotelli Damiano, Tagliavini Massimo, Gianelle Damiano, Costes Evelyne. 2020. MuSCA: A multi-scale source–sink carbon allocation model to explore carbon allocation in plants. An application to static apple tree structures. Annals of Botany, 126 (4), n.spéc. Functional-Structural Plant Growth Modelling : pp. 571-585.

Journal article ; Article de recherche ; Article de revue à facteur d'impact
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Quartile : Q1, Sujet : PLANT SCIENCES

Abstract : Background and aims: Carbon allocation in plants is usually represented at a topological scale, specific to each model. This makes the results obtained with different models, and the impact of their scales of representation, difficult to compare. In this study, we developed a multi-scale carbon allocation model (MuSCA) that allows the use of different, user-defined, topological scales of a plant, and assessment of the impact of each spatial scale on simulated results and computation time. Methods: Model multi-scale consistency and behaviour were tested on three realistic apple tree structures. Carbon allocation was computed at five scales, spanning from the metamer (the finest scale, used as a reference) up to first-order branches, and for different values of a sap friction coefficient. Fruit dry mass increments were compared across spatial scales and with field data. Key Results: The model was able to represent effects of competition for carbon assimilates on fruit growth. Intermediate friction parameter values provided results that best fitted field data. Fruit growth simulated at the metamer scale differed of ~1 % in respect to results obtained at growth unit scale and up to 60 % in respect to first order branch and fruiting unit scales. Generally, the coarser the spatial scale the more predicted fruit growth diverged from the reference. Coherence in fruit growth across scales was also differentially impacted, depending on the tree structure considered. Decreasing the topological resolution reduced computation time by up to four orders of magnitude. Conclusions: MuSCA revealed that the topological scale has a major influence on the simulation of carbon allocation. This suggests that the scale should be a factor that is carefully evaluated when using a carbon allocation model, or when comparing results produced by different models. Finally, with MuSCA, trade-off between computation time and prediction accuracy can be evaluated by changing topological scales.

Mots-clés Agrovoc : Malus, Carbone, Relation source puits, Modèle de simulation, Modèle végétal

Mots-clés complémentaires : Croissance des plantes, Architecture des arbres, Puit de carbone

Mots-clés libres : MuSCA, Multi-scale, Carbon allocation, Plant growth, Tree growth, Functional–structural plant modelling, FSPM, Multi-scale tree graph, Source, Sink, Apple, Plant architecture

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

Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques

Auteurs et affiliations

  • Reyes F., Free University of Bolzano-Bozen (ITA) - auteur correspondant
  • Pallas Benoît, INRA (FRA)
  • Pradal Christophe, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0002-2555-761X
  • Vaggi Federico, FMACH (ITA)
  • Zanotelli Damiano, UNIBZ (ITA)
  • Tagliavini Massimo, UNIBZ (ITA)
  • Gianelle Damiano, FMACH (ITA)
  • Costes Evelyne, INRA (FRA)

Source : Cirad-Agritrop (

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