ArticleAnnals of botany2020
MuSCA: a multi-scale source-sink carbon allocation model to explore carbon allocation in plants. An application to static apple tree structures.
Article in Annals of botany, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Optimizing daylily (Frontiers in plant science · 2024Article
- A hierarchical dataset of vegetative and reproductive growth in apple tree organs under conventional and non-limited carbon resources.Data in brief · 2023Article
- Contributions of leaf distribution and leaf functions to photosynthesis and water-use efficiency from leaf to canopy in apple: A comparison of interstocks and cultivars.Frontiers in plant science · 2023Article
- Modeling of Individual Fruit-Bearing Capacity of Trees Is Aimed at Optimizing Fruit Quality ofFrontiers in plant science · 2021Article
- Functional-Structural Plant Models Mission in Advancing Crop Science: Opportunities and Prospects.Frontiers in plant science · 2021Review
- Investigating tree and fruit growth through functional-structural modelling: implications of carbon autonomy at different scales.Annals of botany · 2020Article
- Two decades of functional-structural plant modelling: now addressing fundamental questions in systems biology and predictive ecology.Annals of botany · 2020Review
- An overview of agent-based models in plant biology and ecology.Annals of botany · 2020Review
- Modelling transport of inhibiting and activating signals and their combined effects on floral induction: application to apple tree.Scientific reports · 2020Article
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8 authors.
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Abstract
BACKGROUND AND
aimsCarbon 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.
methodsModel 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
resultsThe 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.
conclusionsMuSCA 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.
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