Evidence map›Paper›PMID 33513682›Full record

ReviewPlants (Basel, Switzerland)2021

Morphological, Physiological and Molecular Markers for Salt-Stressed Plants.

Aigerim Soltabayeva, Assel Ongaltay, John Okoth Omondi, Sudhakar Srivastava

Abstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Review
  2. Plants (Basel, Switzerland) · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Alleviation of salt stress inFrontiers in plant science · 2025
    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

4 authors.

Aigerim SoltabayevaBiology Department, School of Science and Humanities, Nazarbayev University, Nur Sultan Z05H0P9, Kazakhstan.ORCID 0000-0001-8150-438X
Assel OngaltayBiology Department, School of Science and Humanities, Nazarbayev University, Nur Sultan Z05H0P9, Kazakhstan.
John Okoth OmondiInternational Institute of Tropical Agriculture, PO Box 30258 Lilongwe 3, Malawi.
Sudhakar SrivastavaBeijing Advanced Innovative Center For Tree Breeding by Molecular Design, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, China.

Funding

Faculty Development Competitive Research Grant Program (FDCRG 2020) at Nazarbayev University, Kazakhstan. Grant ID number 240919FD3939
6 · The paper itself

Abstract

Plant growth and development is adversely affected by different kind of stresses. One of the major abiotic stresses, salinity, causes complex changes in plants by influencing the interactions of genes. The modulated genetic regulation perturbs metabolic balance, which may alter plant's physiology and eventually causing yield losses. To improve agricultural output, researchers have concentrated on identification, characterization and selection of salt tolerant varieties and genotypes, although, most of these varieties are less adopted for commercial production. Nowadays, phenotyping plants through Machine learning (deep learning) approaches that analyze the images of plant leaves to predict biotic and abiotic damage on plant leaves have increased. Here, we review salinity stress related markers on molecular, physiological and morphological levels for crops such as maize, rice, ryegrass, tomato, salicornia, wheat and model plant,

Indexed as

antioxidantchlorophyllmolecular markersmorphological markersphysiological markerssalinity stressstress tolerance

Identifiers

PMID33513682
PMCPMC7912532

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.