Evidence map›Paper›PMID 34782618›Full record

ArticleScientific reports2021

Imaging local soil kinematics during the first days of maize root growth in sand.

Floriana Anselmucci, Edward Andò, Gioacchino Viggiani, Nicolas Lenoir, Chloé Arson, Luc Sibille

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Floriana AnselmucciUniv. Grenoble Alpes, CNRS, Grenoble INP, 3SR, 38000, Grenoble, France.
Edward AndòUniv. Grenoble Alpes, CNRS, Grenoble INP, 3SR, 38000, Grenoble, France.
Gioacchino ViggianiUniv. Grenoble Alpes, CNRS, Grenoble INP, 3SR, 38000, Grenoble, France.
Nicolas LenoirUniv. Grenoble Alpes, CNRS, Grenoble INP, 3SR, 38000, Grenoble, France.
Chloé ArsonSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Luc SibilleUniv. Grenoble Alpes, CNRS, Grenoble INP, 3SR, 38000, Grenoble, France. luc.sibille@3sr-grenoble.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maize seedlings are grown in Hostun sand with two different gradings and two different densities. The root-soil system is imaged daily for the first 8 days of plant growth with X-ray computed tomography. Segmentation, skeletonisation and digital image correlation techniques are used to analyse the evolution of the root system architecture, the displacement fields and the local strain fields due to plant growth in the soil. It is found that root thickness and root length density do not depend on the initial soil configuration. However, the depth of the root tip is strongly influenced by the initial soil density, and the number of laterals is impacted by grain size, which controls pore size, capillary rise and thus root access to water. Consequently, shorter root axes are observed in denser sand and fewer second order roots are observed in coarser sands. In all soil configurations tested, root growth induces shear strain in the soil around the root system, and locally, in the vicinity of the first order roots axis. Root-induced shear is accompanied by dilative volumetric strain close to the root body. Further away, the soil experiences dilation in denser sand and compaction in looser sand. These results suggest that the increase of porosity close to the roots can be caused by a mix of shear strain and steric exclusion.

Indexed as

Optical ImagingSandSoilBiological PhenomenaData AnalysisImaging, Three-DimensionalPlant RootsSeedlingsZea maysSandSoil

Identifiers

PMID34782618
PMCPMC8593153

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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.