Effects of food plants on life-history traits of the newly invasive fall armyworm Spodoptera frugiperda

文献类型： 外文期刊

第一作者： Huang, Li-Li

作者： Huang, Li-Li;Huang, Li-Li;Xue, Fang-Sen;He, Hai-Min;Wan, Jian-Chun;Tang, Jian-Jun;Liang, Yu-Yong

作者机构：

关键词： body weight; development time; fecundity; growth rate; leaf nutritional contents; protogyny

期刊名称：JOURNAL OF APPLIED ENTOMOLOGY （ 影响因子：1.9； 五年影响因子：2.1 ）

ISSN： 0931-2048

年卷期： 2023 年 147 卷 6 期

页码：

收录情况： SCI

摘要： The fall armyworm (FAW) Spodoptera frugiperda (J. E. Smith; Lepidoptera; Noctuidae) has invaded Jiangxi Province, Southeast China for the past 3 years. Although the FAW displays a wide host range, its main host plants in Jiangxi Province are field corn. Understanding the population dynamics of the FAW on different host plants is critical for developing an appropriate control strategy. This study investigated the effects of food plants (corn, peanut, soybean and sugarcane) on life-history traits of FAW and tested the leaf contents of the total flavonoids, reducing sugars, sucrose and C/N ratio of these host plants. We found that the FAW fed on corn leaves exhibited significantly shorter larval and pupal development times, larger body weight, higher growth rate, lower weight loss, smaller sexual size dimorphism, shorter preoviposition period and higher fecundity than those fed on peanut, soybean and sugarcane leaves. The FAW showed a protogyny phenomenon because the pupal development stage was significantly longer in males than females. Food plants changed the relationships between larval development time and pupal weight and between fecundity and longevity. The corn leaves showed significantly higher contents of reducing sugars and sucrose, lower content of the total flavonoids and a moderate C/N ratio compared with the other leaves, suggesting that the corn leaf tissues are more nutritious. Our results provide the most comprehensive information about the life-history traits of this newly invasive pest. These findings may help us understand why the FAW mainly infests corn plants and may be critical for the development of strategies to predict infestation levels.

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