Evidence map›Paper›PMID 33214764›Full record

ReviewCurrent genomics2020

Genomic Research Favoring Higher Soybean Production.

Marcela C Pagano, Mohammad Miransari, Eduardo J A Corrêa, Neimar F Duarte, Bakhytzhan K Yelikbayev

Abstract readReview
In one paragraph

Review in Current genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Marcela C Pagano1 Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil; 2Department of Book&Article, AbtinBerkeh Scienctifc Ltd. Company, Isfahan, Iran; 3Empresa de Pesquisa Agropecuária de Minas Gerais EPAMIG-URECO, Pitangui, MG, Belo Horizonte, Brazil; 4Instituto Federal de Minas Gerais, Reitoria, Belo Horizonte, Brazil; 5Kazakh National Agrarian University, Almaty, Kazakhstan.
Mohammad Miransari1 Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil; 2Department of Book&Article, AbtinBerkeh Scienctifc Ltd. Company, Isfahan, Iran; 3Empresa de Pesquisa Agropecuária de Minas Gerais EPAMIG-URECO, Pitangui, MG, Belo Horizonte, Brazil; 4Instituto Federal de Minas Gerais, Reitoria, Belo Horizonte, Brazil; 5Kazakh National Agrarian University, Almaty, Kazakhstan.
Eduardo J A Corrêa1 Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil; 2Department of Book&Article, AbtinBerkeh Scienctifc Ltd. Company, Isfahan, Iran; 3Empresa de Pesquisa Agropecuária de Minas Gerais EPAMIG-URECO, Pitangui, MG, Belo Horizonte, Brazil; 4Instituto Federal de Minas Gerais, Reitoria, Belo Horizonte, Brazil; 5Kazakh National Agrarian University, Almaty, Kazakhstan.
Neimar F Duarte1 Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil; 2Department of Book&Article, AbtinBerkeh Scienctifc Ltd. Company, Isfahan, Iran; 3Empresa de Pesquisa Agropecuária de Minas Gerais EPAMIG-URECO, Pitangui, MG, Belo Horizonte, Brazil; 4Instituto Federal de Minas Gerais, Reitoria, Belo Horizonte, Brazil; 5Kazakh National Agrarian University, Almaty, Kazakhstan.
Bakhytzhan K Yelikbayev1 Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil; 2Department of Book&Article, AbtinBerkeh Scienctifc Ltd. Company, Isfahan, Iran; 3Empresa de Pesquisa Agropecuária de Minas Gerais EPAMIG-URECO, Pitangui, MG, Belo Horizonte, Brazil; 4Instituto Federal de Minas Gerais, Reitoria, Belo Horizonte, Brazil; 5Kazakh National Agrarian University, Almaty, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interest in the efficient production of soybean, as one of the most important crop plants, is significantly increasing worldwide. Soybean symbioses, the most important biological process affecting soybean yield and protein content, were revitalized due to the need for sustainable agricultural practices. Similar to many crop species, soybean can establish symbiotic associations with the soil bacteria rhizobia, and with the soil fungi, arbuscular mycorrhizal fungi, and other beneficial rhizospheric microorganisms are often applied as biofertilizers. Microbial interactions may importantly affect soybean production and plant health by activating different genomic pathways in soybean. Genomic research is an important tool, which may be used to elucidate and enhance the mechanisms controlling such actions and interactions. This review presents the available details on the genomic research favoring higher soybean production. Accordingly, new technologies applied to plant rhizosphere and symbiotic microbiota, root-plant endophytes, and details about the genetic composition of soybean inoculant strains are highlighted. Such details may be effectively used to enhance soybean growth and yield, under different conditions, including stress, resulting in a more sustainable production.

Indexed as

Gene editinggermplasmsmicrobial associationsmutantssoybean genomesymbiotic microbes

Identifiers

PMID33214764
PMCPMC7604746

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.