Evidence map›Paper›PMID 31329591›Full record

ArticlePloS one2019

Development of a model estimating root length density from root impacts on a soil profile in pearl millet (Pennisetum glaucum (L.) R. Br). Application to measure root system response to water stress in field conditions.

Awa Faye, Bassirou Sine, Jean-Louis Chopart, Alexandre Grondin, Mikael Lucas, Abdala Gamby Diedhiou, Pascal Gantet, Laurent Cournac, Doohong Min, Alain Audebert and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
5.8field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pearl millet response to drought: A review.Frontiers in plant science · 2023
    Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Proline-Mediated Drought Tolerance in the Barley (Plants (Basel, Switzerland) · 2021
    Article
  7. Article
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

12 authors at 5 institutions in 3 countries.

Awa FayeLaboratoire mixte international Adaptation des Plantes et microorganismes associés aux Stress Environnementaux (LAPSE), Dakar, Senegal.
Bassirou SineLaboratoire mixte international Adaptation des Plantes et microorganismes associés aux Stress Environnementaux (LAPSE), Dakar, Senegal.ORCID 0000-0002-1978-8446
Jean-Louis ChopartAgerconsult, Montpellier, France.
Alexandre GrondinLaboratoire mixte international Adaptation des Plantes et microorganismes associés aux Stress Environnementaux (LAPSE), Dakar, Senegal.
Mikael LucasLaboratoire mixte international Adaptation des Plantes et microorganismes associés aux Stress Environnementaux (LAPSE), Dakar, Senegal.
Abdala Gamby DiedhiouLaboratoire mixte international Adaptation des Plantes et microorganismes associés aux Stress Environnementaux (LAPSE), Dakar, Senegal.
Pascal GantetUMR DIADE, Université de Montpellier, Institut de Recherche pour le Développement, Montpellier, France.
Laurent CournacUMR Eco&Sols, Université de Montpellier, Institut de Recherche pour le Développement, Centre de coopération Internationale en Recherche Agronomique pour le Développement, Institut National de la Recherche Agronomique, Montpellier Supagro, Montpellier, France.
Doohong MinDepartment of Agronomy, Kansas State University, Manhattan, Kansas, United States of America.
Alain AudebertLaboratoire mixte international Adaptation des Plantes et microorganismes associés aux Stress Environnementaux (LAPSE), Dakar, Senegal.
Aboubacry KaneLaboratoire mixte international Adaptation des Plantes et microorganismes associés aux Stress Environnementaux (LAPSE), Dakar, Senegal.
Laurent LaplazeLaboratoire mixte international Adaptation des Plantes et microorganismes associés aux Stress Environnementaux (LAPSE), Dakar, Senegal.ORCID 0000-0002-6568-6504
Université de Montpellier · FRLMI Adaptation des Plantes et Microorganismes Associés aux Stress Environnementaux · SNCentre de Coopération Internationale en Recherche Agronomique pour le Développement · FRCentre d'Etude Regional pour l'Amelioration de l'Adaptation a la Secheresse · SNKansas State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pearl millet is able to withstand dry and hot conditions and plays an important role for food security in arid and semi-arid areas of Africa and India. However, low soil fertility and drought constrain pearl millet yield. One target to address these constraints through agricultural practices or breeding is root system architecture. In this study, in order to easily phenotype the root system in field conditions, we developed a model to predict root length density (RLD) of pearl millet plants from root intersection densities (RID) counted on a trench profile in field conditions. We identified root orientation as an important parameter to improve the relationship between RID and RLD. Root orientation was notably found to depend on soil depth and to differ between thick roots (more anisotropic with depth) and fine roots (isotropic at all depths). We used our model to study pearl millet root system response to drought and showed that pearl millet reorients its root growth toward deeper soil layers that retain more water in these conditions. Overall, this model opens ways for the characterization of the impact of environmental factors and management practices on pearl millet root system development.

Indexed as

AgricultureDroughtsModels, BiologicalPennisetumPlant RootsSoilStress, PhysiologicalWaterSoilWater

Identifiers

PMID31329591
PMCPMC6645461
OpenAlexW2963051307

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.