ArticleScientific reports2026
Thermal variation associated stress response regulates the growth and reproductive potential of soybean looper.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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
1 citing paper in PubMed.
- Kaolin particle films deter oviposition, impair early development of key soybean herbivore guilds, and enhance plant physiological resilience.Pest management science · 2026Article
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Authors and funding
4 authors.
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Abstract
The soybean looper (SBL) is one of the most damaging insect pests of soybean and other economically important crops worldwide. Although temperature has been reported to be a critical predictor of pest growth and development, very little is known about how temperature variations influence SBL population dynamics, which may aid in predicting SBL population outbreaks and dispersal. To examine this, we analysed the life table parameters of SBL by the age-stage, two-sex method under different temperature conditions. We also performed comparative analysis of antioxidant enzymes and total protein concentration from SBL larvae to unfold the enzymatic stress levels. Life table analysis revealed a significant extension in the developmental periods, and oviposition performance was adversely affected under extreme (extended) temperature conditions. Additionally, temperature stress elevated the antioxidant level, which negatively affected the growth and development of SBL, resulting in reduced plant damage. Population projections over an 80-day timescale simulation indicated that total SBL numbers would be significantly reduced during extreme temperature events compared to optimal temperatures. Overall, our findings suggest that extreme thermal stress had a negative effect on SBL growth and population progression, which could be used to meticulously predict SBL outbreaks and facilitate the development of a more efficient and sustainable management strategy.
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