Evidence map›Paper›PMID 36875568›Full record

ArticleFrontiers in plant science2023

Different vegetal protein hydrolysates distinctively alleviate salinity stress in vegetable crops: A case study on tomato and lettuce.

Monica Yorlady Alzate Zuluaga, Sonia Monterisi, Youssef Rouphael, Giuseppe Colla, Luigi Lucini, Stefano Cesco, Youry Pii

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
10.3field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Monica Yorlady Alzate ZuluagaFaculty of Science and Technology, Free University of Bozen/Bolzano, Bolzano, Italy.
Sonia MonterisiFaculty of Science and Technology, Free University of Bozen/Bolzano, Bolzano, Italy.
Youssef RouphaelDepartment of Agricultural Sciences, University of Naples Federico II, Portici, Italy.
Giuseppe CollaDepartment of Agriculture and Forest Sciences, University of Tuscia, Viterbo, Italy.
Luigi LuciniDepartment for Sustainable Food Process, Research Centre for Nutrigenomics and Proteomics, Università Cattolica del Sacro Cuore, Piacenza, Italy.
Stefano CescoFaculty of Science and Technology, Free University of Bozen/Bolzano, Bolzano, Italy.
Youry PiiFaculty of Science and Technology, Free University of Bozen/Bolzano, Bolzano, Italy.
Free University of Bozen-Bolzano · ITFederico II University Hospital · ITUniversità Cattolica del Sacro Cuore · ITUniversità degli Studi della Tuscia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants have evolved diverse plant-species specific tolerance mechanisms to cope with salt stress. However, these adaptive strategies often inefficiently mitigate the stress related to increasing salinity. In this respect, plant-based biostimulants have gained increasing popularity since they can alleviate deleterious effects of salinity. Hence, this study aimed to evaluate the sensitivity of tomato and lettuce plants grown under high salinity and the possible protective effects of four biostimulants based on vegetal protein hydrolysates. Plants were set in a 2 × 5 factorial experimental design completely randomized with two salt conditions, no salt (0 mM) and high salt (120 mM for tomato or 80 mM for lettuce), and five biostimulant treatments (C:

Indexed as

abiotic stressantioxidant defense systemprolinesalt-sensitive cropsalt-tolerant crop

Identifiers

PMID36875568
PMCPMC9975731
OpenAlexW4320917702

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.