ArticlePest management science2021
The role of population and quantitative genetics and modern sequencing technologies to understand evolved herbicide resistance and weed fitness.
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.
What it found
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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.
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Who cites it
9 citing papers in PubMed, 29 citations in OpenAlex.
- Different nontarget-site mechanisms underlie resistance to dicamba and 2,4-D in an Amaranthus tuberculatus population.Pest management science · 2025Article
- Growth Analysis of Glyphosate-Resistant and SusceptiblePlant-environment interactions (Hoboken, N.J.) · 2024Article
- Pre-emergence herbicides used in urban and agricultural settings: dissipation and ecological implications.Environmental geochemistry and health · 2024Article
- Article
- Early growth, development and allometry of glyphosate-resistant and susceptible Amaranthus palmeri in response to current and elevated temperature and COScientific reports · 2023Article
- Evolution of weedy giant ragweed (Ecology and evolution · 2022Article
- Dissecting weed adaptation: Fitness and trait correlations in herbicide-resistant Alopecurus myosuroides.Pest management science · 2022Article
- Genome evolution in an agricultural pest following adoption of transgenic crops.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Non-target-Site Resistance inFrontiers in plant science · 2020Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
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.
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Registered trials
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.