Cotton insect resistance and integrated pest management: current research and future directions

Abstract Cotton production has long been challenged by combined damage from chewing and piercing-sucking pests. Bt cotton has provided effective control of the cotton bollworm in many production regions. However, several factors have rendered single-tactic management unsustainable. These include the increasing prominence of piercing-sucking pests, accelerating resistance evolution, and growing concerns over non-target effects. Critically, the lack of standardized, cross-environment protocols for reproducible resistance phenotyping has become the primary bottleneck preventing the translation of laboratory-discovered resistance genes into field-effective cultivars. Over the past three decades, major advances have been made in elucidating resistance mechanisms and developing gene identification technologies. Breeding-to-field transformation efficiency has not improved in parallel. Standardized, cross-environment protocols for reproducible insect-resistance phenotyping are still lacking. Specifically, there is a lack of unified specifications for defining pest pressure levels, selecting sampling time points, determining tissue positions for investigation, and establishing criteria for resistance evaluation. Moreover, agronomic cost assessments that balance resistance with yield have rarely been incorporated into breeding decision pipelines. Consequently, many candidate genes remain at the stage of functional validation rather than deployment. At present, insect-resistance breeding is shifting from simply identifying new resistance genes toward evaluating their effects in combination with yield and performance in field trials. In essence, this transition expands breeding objectives from single resistance indices to a broader assessment of yield stability, multi-pest management, and field ecological function. The overarching objective is to improve yield stability under multi-pest pressure while slowing pest adaptation and preserving field ecological functions. Achieving this objective will require explicitly linking genetic resistance traits with physical, chemical, and biological control measures within a dynamic, threshold-based Integrated pest management (IPM) framework.

Authors

Institutions

Publication Details

Journal
Journal of Cotton Research
Published
2026-08-03
DOI
https://doi.org/10.1186/s42397-026-00274-0
Primary Topic
Research in Cotton Cultivation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cotton insect resistance and integrated pest management: current research and future directions

Peilin Wang, Xinyan Liu, Xinyue Xu, Xiaofeng Su et al.
Journal of Cotton Research
Research in Cotton Cultivation
article

Cotton insect resistance and integrated pest management: current research and future directions

Peilin Wang, Xinyan Liu, Xinyue Xu, Xiaofeng Su, Wenfang Guo, Lili Zhou, Jiayue Fu, Huiming Guo, Hongmei Cheng
article en

Abstract

Abstract Cotton production has long been challenged by combined damage from chewing and piercing-sucking pests. Bt cotton has provided effective control of the cotton bollworm in many production regions. However, several factors have rendered single-tactic management unsustainable. These include the increasing prominence of piercing-sucking pests, accelerating resistance evolution, and growing concerns over non-target effects. Critically, the lack of standardized, cross-environment protocols for reproducible resistance phenotyping has become the primary bottleneck preventing the translation of laboratory-discovered resistance genes into field-effective cultivars. Over the past three decades, major advances have been made in elucidating resistance mechanisms and developing gene identification technologies. Breeding-to-field transformation efficiency has not improved in parallel. Standardized, cross-environment protocols for reproducible insect-resistance phenotyping are still lacking. Specifically, there is a lack of unified specifications for defining pest pressure levels, selecting sampling time points, determining tissue positions for investigation, and establishing criteria for resistance evaluation. Moreover, agronomic cost assessments that balance resistance with yield have rarely been incorporated into breeding decision pipelines. Consequently, many candidate genes remain at the stage of functional validation rather than deployment. At present, insect-resistance breeding is shifting from simply identifying new resistance genes toward evaluating their effects in combination with yield and performance in field trials. In essence, this transition expands breeding objectives from single resistance indices to a broader assessment of yield stability, multi-pest management, and field ecological function. The overarching objective is to improve yield stability under multi-pest pressure while slowing pest adaptation and preserving field ecological functions. Achieving this objective will require explicitly linking genetic resistance traits with physical, chemical, and biological control measures within a dynamic, threshold-based Integrated pest management (IPM) framework.

Journal of Cotton ResearchVol. 9(1)
Chinese Academy of Tropical Agricultural Sciences (CN), Sanya University (CN)
National Natural Science Foundation of China, Chinese Academy of Agricultural Sciences, National Science and Technology Major Project
Openalex Percentile: Top 11%
Research in Cotton Cultivation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.