Effects of naturally varying temperatures on growth and development and nutritional indicators of <i>Mythimna separata</i> (Walker) (Lepidoptera: Noctuidae)

Mythimna separata is a major migratory agricultural pest in China, with its number of generations varying significantly along latitudinal gradients, posing a serious threat to grain production and security. To address the current lack of fundamental temperature-response data for predicting outbreaks in third-generation occurrence areas, this study systematically investigated the developmental characteristics of this pest under naturally fluctuating temperature conditions. Three complete generations were observed during the April-October 2021 study period, with each generation's developmental progression showing a significant correlation with temperature variations. The second generation developed fastest during the high-temperature period in July, completing its life cycle in only 48.2 d. When the temperature reached approximately 25 °C, the developmental duration shortened significantly, but the larval survival rate decreased. Fifth-instar larvae exhibited the strongest environmental adaptability, with starvation tolerance lasting up to 281.4 h. This study provides guidelines for predicting M. separata occurrence in third-generation breeding areas under natural conditions.

Authors

Institutions

Publication Details

Journal
Journal of Economic Entomology
Published
2025-09-29
DOI
https://doi.org/10.1093/jee/toaf273
Primary Topic
Insect Pheromone Research and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of naturally varying temperatures on growth and development and nutritional indicators of Mythimna separata (Walker) (Lepidoptera: Noctuidae)

Yan‐Qiong Guo, Haonan Zhao, Jiali Cao, Ling‐Ling Gao et al.
Journal of Economic Entomology
Insect Pheromone Research and Control
article

Effects of naturally varying temperatures on growth and development and nutritional indicators of Mythimna separata (Walker) (Lepidoptera: Noctuidae)

Yan‐Qiong Guo, Haonan Zhao, Jiali Cao, Ling‐Ling Gao, Zhiguo Zhao, Yi Wang, Lijun Zhang, Tongtong Liu
article en

Abstract

Mythimna separata is a major migratory agricultural pest in China, with its number of generations varying significantly along latitudinal gradients, posing a serious threat to grain production and security. To address the current lack of fundamental temperature-response data for predicting outbreaks in third-generation occurrence areas, this study systematically investigated the developmental characteristics of this pest under naturally fluctuating temperature conditions. Three complete generations were observed during the April-October 2021 study period, with each generation's developmental progression showing a significant correlation with temperature variations. The second generation developed fastest during the high-temperature period in July, completing its life cycle in only 48.2 d. When the temperature reached approximately 25 °C, the developmental duration shortened significantly, but the larval survival rate decreased. Fifth-instar larvae exhibited the strongest environmental adaptability, with starvation tolerance lasting up to 281.4 h. This study provides guidelines for predicting M. separata occurrence in third-generation breeding areas under natural conditions.

Journal of Economic EntomologyVol. 119(1)
Shanxi Agricultural University (CN), Commonwealth Scientific and Industrial Research Organisation (AU), Agriculture and Food (AU)
Openalex Percentile: Top 64%
Insect Pheromone Research and Control
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.