Evidence map›Paper›PMID 34355112›Full record

ArticlePlant direct2021

Combining cross-section images and modeling tools to create high-resolution root system hydraulic atlases in

Adrien Heymans, Valentin Couvreur, Guillaume Lobet

Abstract read
In one paragraph

Article in Plant direct, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  16. Article
  17. Roots' Drought Adaptive Traits in Crop Improvement.Plants (Basel, Switzerland) · 2022
    Review
  18. Review
  19. 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

3 authors.

Adrien HeymansEarth and Life Institute UCLouvain Louvain-la-Neuve Belgium.ORCID https://orcid.org/0000-0003-3685-2240
Valentin CouvreurEarth and Life Institute UCLouvain Louvain-la-Neuve Belgium.ORCID https://orcid.org/0000-0002-1087-3978
Guillaume LobetEarth and Life Institute UCLouvain Louvain-la-Neuve Belgium.ORCID https://orcid.org/0000-0002-5883-4572

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Root hydraulic properties play a central role in the global water cycle, in agricultural systems productivity, and in ecosystem survival as they impact the canopy water supply. However, the existing experimental methods to quantify root hydraulic conductivities, such as the root pressure probing, are particularly challenging, and their applicability to thin roots and small root segments is limited. Therefore, there is a gap in methods enabling easy estimations of root hydraulic conductivities in diverse root types. Here, we present a new pipeline to quickly estimate root hydraulic conductivities across different root types, at high resolution along root axes. Shortly, free-hand root cross-sections were used to extract a selected number of key anatomical traits. We used these traits to parametrize the Generator of Root Anatomy in R (GRANAR) model to simulate root anatomical networks. Finally, we used these generated anatomical networks within the Model of Explicit Cross-section Hydraulic Anatomy (MECHA) to compute an estimation of the root axial and radial hydraulic conductivities (

Indexed as

GRANARhydraulic conductivityhydrophobic barriersMECHAroot anatomy

Identifiers

PMID34355112
PMCPMC8320656

What OpenQuestion holds

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Read underepoch 390

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.