Survey and seasonal abundances of major insect pest species in the maize fields of Punjab, Pakistan

文献类型: 外文期刊

第一作者: Akhtar, Naveed

作者: Akhtar, Naveed;Tahir, Hafiz Muhammad;Ali, Aamir;Muzamil, Ayesha;Fajar, Rabia;Fathy, Reham;Mohamed, Hend O.;Abbas, Dilawar

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关键词: Noctuidae; Fall armyworm; Diversity indices; Species richness; Pest management; Maize crops

期刊名称:INTERNATIONAL JOURNAL OF TROPICAL INSECT SCIENCE ( 影响因子:1.2; 五年影响因子:1.3 )

ISSN: 1742-7584

年卷期: 2025 年

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收录情况: SCI

摘要: Major gaps exist regarding the biodiversity and population ecology of insect pests in maize crops in Pakistan. The objective of this study was to examine the species composition, relative abundance, and population dynamics of arthropod insect pests of maize crops in Punjab, Pakistan. A two-year (2018-2019) survey of insect pests' species biodiversity in field maize crops was carried out in two districts (Kasur and Lahore). A total of 49 pest species belonging to 45 genera, 27 families, and 6 orders were recorded in this study. Noctuidae dominated over the other pest families, constituting 49.17% of the total pests catch. Fall armyworm, Spodoptera frugiperda (J.E. Smith) was found to be the most dominant species, constituting 18.51% of the sampled individuals. Moreover, the estimated pest species richness from both districts was 94%. While the diversity indices (Shannon-Weiner and Simpson) revealed non-significant differences in arthropod pest communities of all six selected sites. Using the Menhinick and Margalef indices suggested higher species richness in the Lahore district. Overall, population densities of all the pests consistently fluctuated throughout both cropping seasons, peaking in April-May and reaching the lowest levels in June-July. Spearman's rank correlation analysis indicated a negative association between insect abundance and temperature while, non-significant correlation was found with humidity in both districts. These findings will help to develop sustainable pest control strategies, with implications both at local and global scale in maize growing areas.

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