Evidence map›Paper›PMID 30324740›Full record

ArticlePest management science2019

First transgenic trait for control of plant bugs and thrips in cotton.

Waseem Akbar, Anilkumar Gowda, Jeffrey E Ahrens, Jason W Stelzer, Robert S Brown, Scott L Bollman, John T Greenplate, Jeffrey Gore, Angus L Catchot, Gus Lorenz and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pest management science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  3. Review
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  5. Eavesdropping the pivotal defensive representatives of plant-thrips interaction.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
    Review
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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

20 authors.

Waseem AkbarBayer Crop Science, Chesterfield, MO, USA.ORCID https://orcid.org/0000-0003-0078-387X
Anilkumar GowdaBayer Crop Science, Chesterfield, MO, USA.
Jeffrey E AhrensBayer Crop Science, Chesterfield, MO, USA.
Jason W StelzerBayer Crop Science, Chesterfield, MO, USA.
Robert S BrownBayer Crop Science, Chesterfield, MO, USA.
Scott L BollmanBayer Crop Science, Chesterfield, MO, USA.
John T GreenplateBayer Crop Science, Chesterfield, MO, USA.
Jeffrey GoreThe Department of Biochemistry, Molecular Biology, Entomology, & Plant Pathology, Mississippi State University, Stoneville, MS, USA.
Angus L CatchotThe Department of Biochemistry, Molecular Biology, Entomology, & Plant Pathology, Mississippi State University, Stoneville, MS, USA.
Gus LorenzDepartment of Entomology, University of Arkansas, Fayatville, NC, USA.
Scott D StewartDepartment of Entomology and Plant Pathology, University of Tennessee, Jackson, TN, USA.
David L KernsDepartment of Entomology, Louisiana State University, Winnsboro, LA, USA.
Jeremy K GreeneDepartment of Plant and Environmental Sciences, Clemson University, Clemson, SA, USA.
Michael D ToewsDepartment of Entomology, University of Georgia, Tifton, GA, USA.
David A HerbertDepartment of Entomology, Virginia Tech University, Suffolk, VA, USA.
Dominic D ReisigDepartment of Entomology and Plant Pathology, North Carolina State University, Plymouth, NC, USA.ORCID https://orcid.org/0000-0002-9979-5813
Gregory A SwordDepartment of Entomology, Texas A&M University, College Station, TX, USA.
Peter C EllsworthDepartment of Entomology, University of Arizona, Maricopa, AZ, USA.
Larry D GodfreyDepartment of Entomology and Nematology, University of California Davis, Davis, CA, USA.
Thomas L ClarkBayer Crop Science, Chesterfield, MO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlant bugs (Lygus spp.) and thrips (Thrips spp.) are two of the most economically important insect pest groups impacting cotton production in the USA today, but are not controlled by current transgenic cotton varieties. Thus, seed or foliar-applied chemical insecticides are typically required to protect cotton from these pest groups. Currently, these pests are resistant to several insecticides, resulting in fewer options for economically viable management. Previous publications documented the efficacy of transgenic cotton event MON 88702 against plant bugs and thrips in limited laboratory and field studies. Here, we report results from multi-location and multi-year field studies demonstrating efficacy provided by MON 88702 against various levels of these pests.

resultsMON 88702 provided a significant reduction in numbers of Lygus nymphs and subsequent yield advantage. MON 88702 also had fewer thrips and minimal injury. The level of control demonstrated by this transgenic trait was significantly better compared with its non-transgenic near-isoline, DP393, receiving insecticides at current commercial rates.

conclusionThe level of efficacy demonstrated here suggests that MON 88702, when incorporated into existing IPM programs, could become a valuable additional tool for management of Lygus and thrips in cotton agroecosystems experiencing challenges of resistance to existing chemical control strategies. © 2018 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

AnimalsBacillus thuringiensis ToxinsBacterial ProteinsEndotoxinsGossypiumHemolysin ProteinsHeteropteraNymphPest Control, BiologicalPlants, Genetically ModifiedThysanopteraBacillus thuringiensis ToxinsBacterial ProteinsEndotoxinsHemolysin Proteinsinsecticidal crystal protein, Bacillus ThuringiensisCry51Aa2.834_16Frankliniella spp.HemipteraLygus spp.MON 88702Thysanopteratransgenic cotton

Identifiers

PMID30324740
PMCPMC6590345

What OpenQuestion holds

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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.