Phenology and monitoring of lepidopteran pests in cotton agroecosystems of Beshariq district, Fergana Valley

The cotton (Gossypium spp.) agroecosystems in Besharik district of the Fergana Valley are vulnerable to infestation by several Lepidoptera species, including Helicoverpa armigera, Spodoptera litura, and Agrotis segetum. This study, carried out during the 2023–2024 growing season, aimed to assess the diversity, population dynamics, and seasonal activity of major lepidopteran pests under regional agro-climatic conditions. Field surveys, pheromone traps, and mercury vapor light traps were used to monitor pest populations, supported by soil sampling and meteorological data analysis. Results demonstrated distinct temporal population peaks for each species, with H. armigera showing the highest activity during flowering and boll development stages, S. litura in late summer, and A. segetum during early seedling stages. Pest abundance was strongly influenced by environmental variables, particularly temperature and humidity. The integration of pheromone and light trap data provided robust insights into species phenology and highlighted the importance of implementing region-specific, ecologically-based integrated pest management (IPM) strategies to sustain cotton production in the Fergana region.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-17
DOI
https://doi.org/10.5281/zenodo.15452776
Primary Topic
Insect Pheromone Research and Control
Type
article
Field-Weighted Citation Impact
0.00
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article

Phenology and monitoring of lepidopteran pests in cotton agroecosystems of Beshariq district, Fergana Valley

Zenodo (CERN European Organization for Nuclear Research)
Insect Pheromone Research and Control
article

Phenology and monitoring of lepidopteran pests in cotton agroecosystems of Beshariq district, Fergana Valley

article en

Abstract

The cotton (Gossypium spp.) agroecosystems in Besharik district of the Fergana Valley are vulnerable to infestation by several Lepidoptera species, including Helicoverpa armigera, Spodoptera litura, and Agrotis segetum. This study, carried out during the 2023–2024 growing season, aimed to assess the diversity, population dynamics, and seasonal activity of major lepidopteran pests under regional agro-climatic conditions. Field surveys, pheromone traps, and mercury vapor light traps were used to monitor pest populations, supported by soil sampling and meteorological data analysis. Results demonstrated distinct temporal population peaks for each species, with H. armigera showing the highest activity during flowering and boll development stages, S. litura in late summer, and A. segetum during early seedling stages. Pest abundance was strongly influenced by environmental variables, particularly temperature and humidity. The integration of pheromone and light trap data provided robust insights into species phenology and highlighted the importance of implementing region-specific, ecologically-based integrated pest management (IPM) strategies to sustain cotton production in the Fergana region.

Zenodo (CERN European Organization for Nuclear Research)
Kurgan State University (RU), Samara Federal Research Scientific Center (RU)
Openalex Percentile: Top 55%
Insect Pheromone Research and Control
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