Evidence map›Paper›PMID 33717028›Full record

ArticleFrontiers in microbiology2021

Effect of Low-Input Organic and Conventional Farming Systems on Maize Rhizosphere in Two Portuguese Open-Pollinated Varieties (OPV), "Pigarro" (Improved Landrace) and "SinPre" (a Composite Cross Population).

Aitana Ares, Joana Costa, Carolina Joaquim, Duarte Pintado, Daniela Santos, Monika M Messmer, Pedro M Mendes-Moreira

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  4. Draft Genome Sequence Resource ofMicrobiology resource announcements · 2023
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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.

Aitana AresDepartment of Life Sciences, Centre for Functional Ecology, University of Coimbra, Coimbra, Portugal.
Joana CostaDepartment of Life Sciences, Centre for Functional Ecology, University of Coimbra, Coimbra, Portugal.
Carolina JoaquimCentro de Recursos Naturais, Ambiente e Sociedade (CERNAS), Coimbra, Portugal.
Duarte PintadoCentro de Recursos Naturais, Ambiente e Sociedade (CERNAS), Coimbra, Portugal.
Daniela SantosCentro de Recursos Naturais, Ambiente e Sociedade (CERNAS), Coimbra, Portugal.
Monika M MessmerResearch Institute of Organic Agriculture (FiBL), Frick, Switzerland.
Pedro M Mendes-MoreiraInstituto Politécnico de Coimbra, Escola Superior Agrária de Coimbra, Coimbra, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maize is one of the most important crops worldwide and is the number one arable crop in Portugal. A transition from the conventional farming system to organic agriculture requires optimization of cultivars and management, the interaction of plant-soil rhizosphere microbiota being pivotal. The objectives of this study were to unravel the effect of population genotype and farming system on microbial communities in the rhizosphere of maize. Rhizosphere soil samples of two open-pollinated maize populations ("SinPre" and "Pigarro") cultivated under conventional and organic farming systems were taken during flowering and analyzed by next-generation sequencing (NGS). Phenological data were collected from the replicated field trial. A total of 266 fungi and 317 bacteria genera were identified in "SinPre" and "Pigarro" populations, of which 186 (69.9%) and 277 (87.4%) were shared among them. The microbiota of "Pigarro" showed a significant higher (

Indexed as

maizemicrobiotanext-generation sequencingopen-pollinated populationsorganic and conventional farming systemrhizosphere

Identifiers

PMID33717028
PMCPMC7953162

What OpenQuestion holds

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Registered trials

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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.