Evidence map›Paper›PMID 36834600›Full record

ReviewInternational journal of molecular sciences2023

Molecular Responses of Vegetable, Ornamental Crops, and Model Plants to Salinity Stress.

Stefania Toscano, Daniela Romano, Antonio Ferrante

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
13.1field-weighted citation impact, top 1% 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

13 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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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 at 3 institutions in 1 country.

Stefania ToscanoDepartment of Science Veterinary, Università degli Studi di Messina, 98168 Messina, Italy.ORCID 0000-0003-4345-4232
Daniela RomanoDepartment of Agriculture, Food and Environment, Università degli Studi di Catania, 95131 Catania, Italy.ORCID 0000-0002-4810-2124
Antonio FerranteDepartment of Agricultural and Environmental Sciences-Production, Landscape, Agroenergy, Università degli Studi di Milano, 20133 Milan, Italy.ORCID 0000-0001-7781-9784
University of Catania · ITUniversity of Messina · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vegetable and ornamental plants represent a very wide group of heterogeneous plants, both herbaceous and woody, generally without relevant salinity-tolerant mechanisms. The cultivation conditions-almost all are irrigated crops-and characteristics of the products, which must not present visual damage linked to salt stress, determine the necessity for a deep investigation of the response of these crops to salinity stress. Tolerance mechanisms are linked to the capacity of a plant to compartmentalize ions, produce compatible solutes, synthesize specific proteins and metabolites, and induce transcriptional factors. The present review critically evaluates advantages and disadvantages to study the molecular control of salt tolerance mechanisms in vegetable and ornamental plants, with the aim of distinguishing tools for the rapid and effective screening of salt tolerance levels in different plants. This information can not only help in suitable germplasm selection, which is very useful in consideration of the high biodiversity expressed by vegetable and ornamental plants, but also drive the further breeding activities.

Indexed as

Plant BreedingVegetablesCrops, AgriculturalSalinitySalt Toleranceadaptive mechanismsantioxidative metabolismsalinity-induced proteinsignal transduction

Identifiers

PMID36834600
PMCPMC9965374
OpenAlexW4319317155

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.