Evaluating sunn hemp as a dead-end trap crop for sustainable management of the legume pod borer (Lepidoptera: Crambidae)

评估太阳麻作为豆荚螟(鳞翅目:螟蛾科)可持续管理的诱捕作物

阅读:1

Abstract

The legume pod borer, Maruca vitrata (F.) poses a significant threat to leguminous crops, necessitating sustainable management approaches to mitigate damage and maintain productivity. This study evaluated sunn hemp, Crotalaria juncea (L.) (Fabaceae), as a potential dead-end trap crop for managing M. vitrata infestations in cowpea, Vigna unguiculata subsp. sesquipedalis (L.) (Fabaceae), and lablab bean, Lablab purpureus (L.) (Fabaceae). Laboratory oviposition assays indicated that sunn hemp was significantly less preferred than cowpea in dual-choice conditions, whereas no significant preference was detected relative to lablab bean. Interestingly, sunn hemp received more eggs than cowpea under no-choice conditions but fewer than lablab bean. Larvae feeding on sunn hemp suffered complete mortality, failing to develop beyond the fourth instar. In contrast, cowpea and lablab beans equally supported complete larval and pupal development without significant differences in developmental parameters, pupal weight, or sex ratio. Field experiments demonstrated that sunn hemp effectively reduced pest infestation relative to untreated controls, showing comparable efficacy to chemical treatments. Marketable yield proportions differed significantly between the crops, with lablab bean consistently achieving higher marketable yields than cowpea. Sunn hemp significantly enhanced the marketable yield of lablab beans, reinforcing its value as a tool for ecological pest management. Overall, sunn hemp effectively disrupted M. vitrata populations, reduced pest pressure, and improved yield quality, thus highlighting its potential as a sustainable and ecologically beneficial component in integrated pest management programs for leguminous crops.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。