1. Population Dynamics and Reproductive Developmental Analysis ofHelicoverpa armigera(Lepidoptera: Noctuidae) Trapped Using Food Attractants in the Field
- Author
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Shishuai Ge, Haowen Zhang, Kongming Wu, Xincheng Zhao, Wei He, Limei He, and Abid Ali
- Subjects
Male ,0106 biological sciences ,Population Dynamics ,Population ,Zoology ,Moths ,Helicoverpa armigera ,Agricultural pest ,01 natural sciences ,Lepidoptera genitalia ,Animals ,education ,Herbivore ,education.field_of_study ,Ecology ,biology ,Reproduction ,fungi ,Adult insect ,General Medicine ,biology.organism_classification ,Lepidoptera ,010602 entomology ,Insect Science ,Noctuidae ,Female ,PEST analysis ,010606 plant biology & botany - Abstract
Monitoring adult populations of Helicoverpa armigera (Hübner) (Lepidoptera: Noctuidae), a major agricultural pest, provides data useful for its control. Food attractants, considered as adult insect behavior regulators based on the preference of an herbivorous pest for food sources or their volatiles, also have great potential for monitoring populations. To study the feasibility of monitoring the population dynamics and reproductive development of H. armigera in the field using food attractants, we quantitatively analyzed reproductive organ development of adults in a laboratory population as a way to predict the reproductive development of adults trapped using food attractants in the field in 2019 and 2020. The adults trapped using food attractants had obvious generational changes and the same trends in variation for females and males. The extent of ovarian development in trapped females tended to increase within each generation, and the major axis length of testis in trapped males tended to decrease. Reproductive developmental status of trapped adults also differed significantly among months. This study shows that by trapping H. armigera with food attractants, the population dynamics of adults in the field can be monitored, and reproductive anatomy can also be used to monitor adult reproductive status. These approaches are a new way to forecast the population dynamics of this pest.
- Published
- 2021
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