Evidence map›Paper›PMID 34302709›Full record

ArticlePest management science2021

Population genomics of Digitaria insularis from soybean areas in Brazil.

Acácio Gonçalves Netto, Erick Mg Cordeiro, Marcelo Nicolai, Saul Jp de Carvalho, Ramiro Fernando Lopez Ovejero, Caio Acg Brunharo, Maria I Zucchi, Pedro J Christoffoleti

Abstract read
In one paragraph

Article in Pest management science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

8 authors.

Acácio Gonçalves NettoCrop Science Department, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil.ORCID https://orcid.org/0000-0001-9741-3992
Erick Mg CordeiroCrop Science Department, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil.ORCID https://orcid.org/0000-0003-2926-968X
Marcelo NicolaiAgro do Mato Consulting, Santa Barbara D'Oeste, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-4031-7179
Saul Jp de CarvalhoFederal Institute of Education, Science and Technology of the South of Minas Gerais, Machado, Minas Gerais, Brazil.ORCID https://orcid.org/0000-0002-8558-6922
Ramiro Fernando Lopez OvejeroBayer Crop Science Brazil, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-4500-6302
Caio Acg BrunharoDepartment of Crop and Soil Science, Oregon State University, Corvallis, OR, USA.ORCID https://orcid.org/0000-0001-9735-1648
Maria I ZucchiSecretariat of Agriculture and Food Supply of Sao Paulo State, Piracicaba, Brazil.ORCID https://orcid.org/0000-0002-4863-1843
Pedro J ChristoffoletiCrop Science Department, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil.ORCID https://orcid.org/0000-0002-2741-5615

Funding

Bayer Crop ScienceUniversity of Campinas
6 · The paper itself

Abstract

backgroundDigitaria insularis is a weed species that has gained considerable importance in Brazil's soybean production areas that rely on glyphosate-resistant cultivars. Herbicide-resistant weed populations of this species have been reported in many regions in Brazil, first in the south, followed by later reports in the north. We hypothesized that the spread of herbicide-resistant D. insularis is facilitated by movement of agricultural machinery from the southern regions of Brazil.

resultsPopulation genomics revealed a weak or no genetic structure (F

conclusionEvidence in our work suggests that gene flow of glyphosate-resistant D. insularis is associated with movement of agricultural machinery, although local selection pressure seems to play an important role in the evolution of herbicide resistance throughout the country. Our results suggest preventive practices such as equipment sanitation should be implemented to limit the spread of herbicide resistant D. insularis. © 2021 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

DigitariaHerbicidesBrazilGlycine maxHerbicide ResistanceMetagenomicsPlant WeedsHerbicidesadaptationadmixtureglyphosate resistanceherbicide resistancesourgrassweed genomics

Identifiers

PMID34302709
PMCPMC9291757

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.