Evidence map›Paper›PMID 29293870›Full record

ArticleAnnals of botany2018

A 3-D functional-structural grapevine model that couples the dynamics of water transport with leaf gas exchange.

Junqi Zhu, Zhanwu Dai, Philippe Vivin, Gregory A Gambetta, Michael Henke, Anthony Peccoux, Nathalie Ollat, Serge Delrot

Open access · bronzeAbstract read
In one paragraph

Article in Annals of botany, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
9.1field-weighted citation impact, top 3% of its field
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

20 citing papers in PubMed, 56 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Junqi ZhuEGFV, Bordeaux Sciences Agro, INRA, Université de Bordeaux, Villenave d'Ornon, France.
Zhanwu DaiEGFV, Bordeaux Sciences Agro, INRA, Université de Bordeaux, Villenave d'Ornon, France.
Philippe VivinEGFV, Bordeaux Sciences Agro, INRA, Université de Bordeaux, Villenave d'Ornon, France.
Gregory A GambettaEGFV, Bordeaux Sciences Agro, INRA, Université de Bordeaux, Villenave d'Ornon, France.
Michael HenkeDepartment of Ecoinformatics, Biometrics and Forest Growth, University of Göttingen, Göttingen, Germany.
Anthony PeccouxEGFV, Bordeaux Sciences Agro, INRA, Université de Bordeaux, Villenave d'Ornon, France.
Nathalie OllatEGFV, Bordeaux Sciences Agro, INRA, Université de Bordeaux, Villenave d'Ornon, France.
Serge DelrotEGFV, Bordeaux Sciences Agro, INRA, Université de Bordeaux, Villenave d'Ornon, France.
Université de Bordeaux · FRUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Predicting both plant water status and leaf gas exchange under various environmental conditions is essential for anticipating the effects of climate change on plant growth and productivity. This study developed a functional-structural grapevine model which combines a mechanistic understanding of stomatal function and photosynthesis at the leaf level (i.e. extended Farqhuhar-von Caemmerer-Berry model) and the dynamics of water transport from soil to individual leaves (i.e. Tardieu-Davies model). Methods: The model included novel features that account for the effects of xylem embolism (fPLC) on leaf hydraulic conductance and residual stomatal conductance (g0), variable root and leaf hydraulic conductance, and the microclimate of individual organs. The model was calibrated with detailed datasets of leaf photosynthesis, leaf water potential, xylem sap abscisic acid (ABA) concentration and hourly whole-plant transpiration observed within a soil drying period, and validated with independent datasets of whole-plant transpiration under both well-watered and water-stressed conditions. Key Results: The model well captured the effects of radiation, temperature, CO2 and vapour pressure deficit on leaf photosynthesis, transpiration, stomatal conductance and leaf water potential, and correctly reproduced the diurnal pattern and decline of water flux within the soil drying period. In silico analyses revealed that decreases in g0 with increasing fPLC were essential to avoid unrealistic drops in leaf water potential under severe water stress. Additionally, by varying the hydraulic conductance along the pathway (e.g. root and leaves) and changing the sensitivity of stomatal conductance to ABA and leaf water potential, the model can produce different water use behaviours (i.e. iso- and anisohydric). Conclusions: The robust performance of this model allows for modelling climate effects from individual plants to fields, and for modelling plants with complex, non-homogenous canopies. In addition, the model provides a basis for future modelling efforts aimed at describing the physiology and growth of individual organs in relation to water status.

Indexed as

Models, BiologicalPhotosynthesisPlant TranspirationAbscisic AcidBiological TransportClimate ChangeDehydrationPlant Growth RegulatorsPlant LeavesPlant RootsPlant StomataSoilTemperatureVapor PressureVitisWaterAbscisic AcidPlant Growth RegulatorsSoilWater

Identifiers

PMID29293870
PMCPMC5906973
OpenAlexW2776260028

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.