Evidence map›Paper›PMID 32633005›Full record

ArticlePest management science2021

The role of population and quantitative genetics and modern sequencing technologies to understand evolved herbicide resistance and weed fitness.

Ramon G Leon, Jeffrey C Dunne, Fred Gould

Open access · hybridAbstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Growth Analysis of Glyphosate-Resistant and SusceptiblePlant-environment interactions (Hoboken, N.J.) · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Evolution of weedy giant ragweed (Ecology and evolution · 2022
    Article
  7. Article
  8. Genome evolution in an agricultural pest following adoption of transgenic crops.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  9. Non-target-Site Resistance inFrontiers in plant science · 2020
    Review
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

3 authors at 1 institution in 1 country.

Ramon G LeonDepartment of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, USA.ORCID https://orcid.org/0000-0002-1924-3331
Jeffrey C DunneDepartment of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, USA.
Fred GouldDepartment of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, USA.
North Carolina State University · US

Funding

Hatch Project NC02653National Institute of Food and Agriculture 2017-6505-26807National Institute of Food and Agriculture 2018-70006-28933National Institute of Food and Agriculture 2019-68012-2981
6 · The paper itself

Abstract

Evolution of resistance to multiple herbicides with different sites of action and of nontarget site resistance (NTSR) often involves multiple genes. Thus, single-gene analyses, typical in studies of target site resistance, are not sufficient for understanding the genetic architecture and dynamics of NTSR and multiple resistance. The genetics of weed adaptation to varied agricultural environments is also generally expected to be polygenic. Recent advances in whole-genome sequencing as well as bioinformatic and statistical tools have made it possible to use population and quantitative genetics methods to expand our understanding of how resistance and other traits important for weed adaptation are genetically controlled at the individual and population levels, and to predict responses to selection pressure by herbicides and other environmental factors. The use of tools such as quantitative trait loci mapping, genome-wide association studies, and genomic prediction will allow pest management scientists to better explain how pests adapt to control tools and how specific genotypes thrive and spread across agroecosystems and other human-disturbed systems. The challenge will be to use this knowledge in developing integrated weed management systems that inhibit broad resistance to current and future weed-control methods. © 2020 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

Herbicide ResistanceHerbicidesGenome-Wide Association StudyPlant WeedsWeed ControlHerbicidesevolutiongeneticspestweeds

Identifiers

PMID32633005
PMCPMC7754128
OpenAlexW3041003195

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.