Using Sentinel Plots to Monitor for Changes in Thrips Susceptibility to MON 88702 Cotton Containing the Cry51Aa2.834_16 <i>Bt</i> Protein

Transgenic <i>Bt</i> crops are important tools for growers to manage insect pests, but their durability is threatened by the evolution of insect resistance. Implementing a resistance monitoring program is essential to detect and mitigate resistance. For non-high-dose <i>Bt</i>...

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Main Authors: Ashley D. Yates-Stewart, Benjamin T. Yorke, Alan Willse, Jennifer Fridley, Graham P. Head
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Insects
Subjects:
Online Access:https://www.mdpi.com/2075-4450/14/6/497
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author Ashley D. Yates-Stewart
Benjamin T. Yorke
Alan Willse
Jennifer Fridley
Graham P. Head
author_facet Ashley D. Yates-Stewart
Benjamin T. Yorke
Alan Willse
Jennifer Fridley
Graham P. Head
author_sort Ashley D. Yates-Stewart
collection DOAJ
description Transgenic <i>Bt</i> crops are important tools for growers to manage insect pests, but their durability is threatened by the evolution of insect resistance. Implementing a resistance monitoring program is essential to detect and mitigate resistance. For non-high-dose <i>Bt</i> crops, resistance monitoring is challenging, because insect control is not complete, so targeted insects and insect damage will be present even without resistance. Given these challenges, sentinel plots have been used to monitor for insect resistance to non-high-dose crops by assessing changes in the efficacy of a <i>Bt</i> crop over time relative to a non-<i>Bt</i> control. We optimized a sentinel plot resistance monitoring approach for MON 88702 ThryvOn™ cotton, a new non-high-dose <i>Bt</i> product targeting two sucking pest taxa—<i>Lygus</i> (<i>L. lineolaris</i> and <i>L. hesperus</i>) and thrips (<i>Frankliniella fusca</i> and <i>F. occidentalis</i>)—and report here on the thrips monitoring methods and results. Quantifying thrips immatures was the best metric to characterize the impact of the trait, with at least a 40–60% average reduction of thrips immatures on ThryvOn relative to the control cotton at all sites with higher thrips densities. These data can be used within a ThryvOn resistance monitoring program and represent a case study for establishing a resistance monitoring approach for a non-high-dose trait product.
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spelling doaj.art-9f6876133bd84bfdb5b367acd7aafca22023-11-18T10:55:39ZengMDPI AGInsects2075-44502023-05-0114649710.3390/insects14060497Using Sentinel Plots to Monitor for Changes in Thrips Susceptibility to MON 88702 Cotton Containing the Cry51Aa2.834_16 <i>Bt</i> ProteinAshley D. Yates-Stewart0Benjamin T. Yorke1Alan Willse2Jennifer Fridley3Graham P. Head4Bayer Crop Science, Chesterfield, MO 63017, USABayer Crop Science, Chesterfield, MO 63017, USABayer Crop Science, Chesterfield, MO 63017, USABayer Crop Science, Chesterfield, MO 63017, USABayer Crop Science, Chesterfield, MO 63017, USATransgenic <i>Bt</i> crops are important tools for growers to manage insect pests, but their durability is threatened by the evolution of insect resistance. Implementing a resistance monitoring program is essential to detect and mitigate resistance. For non-high-dose <i>Bt</i> crops, resistance monitoring is challenging, because insect control is not complete, so targeted insects and insect damage will be present even without resistance. Given these challenges, sentinel plots have been used to monitor for insect resistance to non-high-dose crops by assessing changes in the efficacy of a <i>Bt</i> crop over time relative to a non-<i>Bt</i> control. We optimized a sentinel plot resistance monitoring approach for MON 88702 ThryvOn™ cotton, a new non-high-dose <i>Bt</i> product targeting two sucking pest taxa—<i>Lygus</i> (<i>L. lineolaris</i> and <i>L. hesperus</i>) and thrips (<i>Frankliniella fusca</i> and <i>F. occidentalis</i>)—and report here on the thrips monitoring methods and results. Quantifying thrips immatures was the best metric to characterize the impact of the trait, with at least a 40–60% average reduction of thrips immatures on ThryvOn relative to the control cotton at all sites with higher thrips densities. These data can be used within a ThryvOn resistance monitoring program and represent a case study for establishing a resistance monitoring approach for a non-high-dose trait product.https://www.mdpi.com/2075-4450/14/6/497ThryvOn cottonMON 88702tobacco thripswestern flower thrips<i>Bacillus thuringiensis</i>resistance monitoring
spellingShingle Ashley D. Yates-Stewart
Benjamin T. Yorke
Alan Willse
Jennifer Fridley
Graham P. Head
Using Sentinel Plots to Monitor for Changes in Thrips Susceptibility to MON 88702 Cotton Containing the Cry51Aa2.834_16 <i>Bt</i> Protein
Insects
ThryvOn cotton
MON 88702
tobacco thrips
western flower thrips
<i>Bacillus thuringiensis</i>
resistance monitoring
title Using Sentinel Plots to Monitor for Changes in Thrips Susceptibility to MON 88702 Cotton Containing the Cry51Aa2.834_16 <i>Bt</i> Protein
title_full Using Sentinel Plots to Monitor for Changes in Thrips Susceptibility to MON 88702 Cotton Containing the Cry51Aa2.834_16 <i>Bt</i> Protein
title_fullStr Using Sentinel Plots to Monitor for Changes in Thrips Susceptibility to MON 88702 Cotton Containing the Cry51Aa2.834_16 <i>Bt</i> Protein
title_full_unstemmed Using Sentinel Plots to Monitor for Changes in Thrips Susceptibility to MON 88702 Cotton Containing the Cry51Aa2.834_16 <i>Bt</i> Protein
title_short Using Sentinel Plots to Monitor for Changes in Thrips Susceptibility to MON 88702 Cotton Containing the Cry51Aa2.834_16 <i>Bt</i> Protein
title_sort using sentinel plots to monitor for changes in thrips susceptibility to mon 88702 cotton containing the cry51aa2 834 16 i bt i protein
topic ThryvOn cotton
MON 88702
tobacco thrips
western flower thrips
<i>Bacillus thuringiensis</i>
resistance monitoring
url https://www.mdpi.com/2075-4450/14/6/497
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