Evidence map›Paper›PMID 32930888›Full record

ArticleRice (New York, N.Y.)2020

Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?

Paulo Henrique Ramos Guimarães, Isabela Pereira de Lima, Adriano Pereira de Castro, Anna Cristina Lanna, Patrícia Guimarães Santos Melo, Marcel de Raïssac

Abstract read
In one paragraph

Article in Rice (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. TheInternational journal of molecular sciences · 2023
    Article
  4. Physiological and yield responses of contrasting upland rice genotypes towards induced drought.Physiology and molecular biology of plants : an international journal of functional plant biology · 2023
    Article
  5. Genome-Wide Association Studies of Seven Root Traits in Soybean (International journal of molecular sciences · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Genetic Variability ofFrontiers in plant science · 2021
    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

6 authors.

Paulo Henrique Ramos GuimarãesEmbrapa Arroz e Feijão, Rodovia GO-462, km 12, Santo Antônio de Goiás, GO, 75375-000, Brazil. paulohenriquerg@hotmail.com.ORCID http://orcid.org/0000-0001-7628-4853
Isabela Pereira de LimaUniversidade Federal de Lavras, Departamento de Agricultura, Campus Universitário, Lavras, MG, 37200-000, Brazil.
Adriano Pereira de CastroEmbrapa Arroz e Feijão, Rodovia GO-462, km 12, Santo Antônio de Goiás, GO, 75375-000, Brazil.
Anna Cristina LannaEmbrapa Arroz e Feijão, Rodovia GO-462, km 12, Santo Antônio de Goiás, GO, 75375-000, Brazil.
Patrícia Guimarães Santos MeloUniversidade Federal de Goiás, Rodovia GO-462, km 0, Campus Samambaia, Goiânia, GO, 74001-970, Brazil.
Marcel de RaïssacUniv Montpellier, CIRAD, INRA, Montpellier SupAgro, AGAP, Montpellier, France. marcel.de_raissac@cirad.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe root system plays a major role in plant growth and development and root system architecture is reported to be the main trait related to plant adaptation to drought. However, phenotyping root systems in situ is not suited to high-throughput methods, leading to the development of non-destructive methods for evaluations in more or less controlled root environments. This study used a root phenotyping platform with a panel of 20 japonica rice accessions in order to: (i) assess their genetic diversity for a set of structural and morphological root traits and classify the different types; (ii) analyze the plastic response of their root system to a water deficit at reproductive phase and (iii) explore the ability of the platform for high-throughput phenotyping of root structure and morphology.

resultsHigh variability for the studied root traits was found in the reduced set of accessions. Using eight selected traits under irrigated conditions, five root clusters were found that differed in root thickness, branching index and the pattern of fine and thick root distribution along the profile. When water deficit occurred at reproductive phase, some accessions significantly reduced root growth compared to the irrigated treatment, while others stimulated it. It was found that root cluster, as defined under irrigated conditions, could not predict the plastic response of roots under drought.

conclusionsThis study revealed the possibility of reconstructing the structure of root systems from scanned images. It was thus possible to significantly class root systems according to simple structural traits, opening up the way for using such a platform for medium to high-throughput phenotyping. The study also highlighted the uncoupling between root structures under non-limiting water conditions and their response to drought.

Indexed as

Genetic variationOryza sativaPhenotypic plasticityPVC pipesRoot system architecture

Identifiers

PMID32930888
PMCPMC7492358

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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.