Evidence map›Paper›PMID 34451578›Full record

ReviewPlants (Basel, Switzerland)2021

Microbial Biostimulants as Response to Modern Agriculture Needs: Composition, Role and Application of These Innovative Products.

Adele M Castiglione, Giuseppe Mannino, Valeria Contartese, Cinzia M Bertea, Andrea Ertani

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 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

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  11. Plants (Basel, Switzerland) · 2026
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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

5 authors.

Adele M CastiglionePlant Physiology Unit, Department of Life Sciences and Systems Biology, University of Torino, 10135 Turin, Italy.
Giuseppe ManninoPlant Physiology Unit, Department of Life Sciences and Systems Biology, University of Torino, 10135 Turin, Italy.ORCID 0000-0003-0047-978X
Valeria ContarteseGreen Has Italia S.P.A, 12043 Canale, Italy.
Cinzia M BerteaPlant Physiology Unit, Department of Life Sciences and Systems Biology, University of Torino, 10135 Turin, Italy.ORCID 0000-0003-2919-0445
Andrea ErtaniDepartment of Agricultural Forest and Food Sciences, University of Torino, 10095 Turin, Italy.ORCID 0000-0002-7818-2997

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increasing need for a more sustainable agriculturally-productive system is required in order to preserve soil fertility and reduce soil biodiversity loss. Microbial biostimulants are innovative technologies able to ensure agricultural yield with high nutritional values, overcoming the negative effects derived from environmental changes. The aim of this review was to provide an overview on the research related to plant growth promoting microorganisms (PGPMs) used alone, in consortium, or in combination with organic matrices such as plant biostimulants (PBs). Moreover, the effectiveness and the role of microbial biostimulants as a biological tool to improve fruit quality and limit soil degradation is discussed. Finally, the increased use of these products requires the achievement of an accurate selection of beneficial microorganisms and consortia, and the ability to prepare for future agriculture challenges. Hence, the implementation of the microorganism positive list provided by EU (2019/1009), is desirable.

Indexed as

abiotic stressarbuscular mycorrhizal fungienvironmentEuropean Biostimulant Industry Councilland degradation neutralitymicrobial biostimulantplant growth promoting microorganismplant growth promoting rhizobacteriasoil biodiversitysynergism

Identifiers

PMID34451578
PMCPMC8400793

What OpenQuestion holds

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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.