Evidence map›Paper›PMID 27279576›Full record

ArticleAnnals of botany2016

Simulation of carbon allocation and organ growth variability in apple tree by connecting architectural and source-sink models.

Benoît Pallas, David Da Silva, Pierre Valsesia, Weiwei Yang, Olivier Guillaume, Pierre-Eric Lauri, Gilles Vercambre, Michel Génard, Evelyne Costes

Abstract read
In one paragraph

Article in Annals of botany, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Allometric Growth of AnnualPlants (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Biomass Allocation inPlants (Basel, Switzerland) · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Benoît PallasInstitut National de la Recherche Agronomique (INRA), UMR 1334 AGAP, CIRAD-INRA-Montpellier SupAgro, F-34398 Montpellier, France, pallas@supagro.inra.fr.
David Da SilvaInstitut National de la Recherche Agronomique (INRA), UMR 1334 AGAP, CIRAD-INRA-Montpellier SupAgro, F-34398 Montpellier, France.
Pierre ValsesiaINRA, UR 1115 Plantes et Systèmes de Culture Horticoles, F-84914 Avignon, France and.
Weiwei YangCollege of Horticulture, Northwest A&F University, Yangling, Shaanxi 712100, China.
Olivier GuillaumeInstitut National de la Recherche Agronomique (INRA), UMR 1334 AGAP, CIRAD-INRA-Montpellier SupAgro, F-34398 Montpellier, France.
Pierre-Eric LauriInstitut National de la Recherche Agronomique (INRA), UMR 1334 AGAP, CIRAD-INRA-Montpellier SupAgro, F-34398 Montpellier, France.
Gilles VercambreINRA, UR 1115 Plantes et Systèmes de Culture Horticoles, F-84914 Avignon, France and.
Michel GénardINRA, UR 1115 Plantes et Systèmes de Culture Horticoles, F-84914 Avignon, France and.
Evelyne CostesInstitut National de la Recherche Agronomique (INRA), UMR 1334 AGAP, CIRAD-INRA-Montpellier SupAgro, F-34398 Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsPlant growth depends on carbon availability and allocation among organs. QualiTree has been designed to simulate carbon allocation and partitioning in the peach tree (Prunus persica), whereas MappleT is dedicated to the simulation of apple tree (Malus × domestica) architecture. The objective of this study was to couple both models and adapt QualiTree to apple trees to simulate organ growth traits and their within-tree variability.

methodsMappleT was used to generate architectures corresponding to the 'Fuji' cultivar, accounting for the variability within and among individuals. These architectures were input into QualiTree to simulate shoot and fruit growth during a growth cycle. We modified QualiTree to account for the observed shoot polymorphism in apple trees, i.e. different classes (long, medium and short) that were characterized by different growth function parameters. Model outputs were compared with observed 3D tree geometries, considering shoot and final fruit size and growth dynamics. KEY

resultsThe modelling approach connecting MappleT and QualiTree was appropriate to the simulation of growth and architectural characteristics at the tree scale (plant leaf area, shoot number and types, fruit weight at harvest). At the shoot scale, mean fruit weight and its variability within trees was accurately simulated, whereas the model tended to overestimate individual shoot leaf area and underestimate its variability for each shoot type. Varying the parameter related to the intensity of carbon exchange between shoots revealed that behaviour intermediate between shoot autonomy and a common assimilate pool was required to properly simulate within-tree fruit growth variability. Moreover, the model correctly dealt with the crop load effect on organ growth.

conclusionsThis study provides understanding of the integration of shoot ontogenetic properties, carbon supply and transport between entities for simulating organ growth in trees. Further improvements regarding the integration of retroaction loops between carbon allocation and the resulting plant architecture are expected to allow multi-year simulations.

Indexed as

MalusModels, BiologicalBiological TransportCarbohydrate MetabolismCarbonComputer SimulationFruitPlant LeavesPlant ShootsTreesCarbonCarbohydrate allocationdomesticafunctional structural plant modelsMalus ×organ growthshoot autonomy

Identifiers

PMID27279576
PMCPMC4970356

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.