Pest Management Science · 2021 · 23 citations · 36 references
Life SciencesCrop SciencesEntomologyAgricultural EntomologyCrop ProtectionInsect PathologyBiopesticide Efficacy EvaluationCrop Pest InsectsEntomopathogenic FungiInsect PathogensPest ControlPest ManagementBaculovirus BiopesticidesBiocontrol Agent EvaluationControlled Field TrialsField Resistance TrialsFungal Biopesticide EfficacyMaize Insect PestsMaize PestsMetarhizium-based Biopesticides
Abstract BACKGROUND The entomopathogenic fungus Metarhizium rileyi is known to cause natural infections in some caterpillars. In this multiyear study, we carried out laboratory, greenhouse and three field trials with the aim of developing a sustainable option for control of the fall armyworm (FAW) in maize. Association of M. rileyi with Spodoptera frugiperda baculovirus (SfMNPV) and delivery strategies were also investigated. RESULTS The selected isolate (CG381) was effective in the laboratory at a low concentration (~ 4 × 10 3 conidia cm −2 ), killing >95% of FAW larvae within 8 days. In the greenhouse assay, applications of conidia suspended in water or as dry powder in maize whorls (~ 6.3 × 10 6 conidia per plant) produced similar larval mortalities (88%–96%). In the field trials, conventional spraying of unformulated conidia (0.6 and 1.2 × 10 12 conidia ha −1 ) caused low larval mortalities (27–31%). Simultaneous application of either unformulated or oil‐based formulations of M. rileyi conidia and S. frugiperda baculovirus (SfMNPV) to plant rows caused larval mortalities comparable with each of the pathogens applied alone. However, when a formulation containing both pathogens was sprayed directly into the whorls, the overall mortality of S. frugiperda larvae due to pathogens (mostly to M. rileyi infections) reached ~ 59%, twofold higher than the other treatments with conventional spraying, whereas in the control, the overall mortality was only 1%. CONCLUSION Optimizing exposure of S. frugiperda larvae to an inoculum of virulent entomopathogens through directed applications to maize whorls is critical to produce satisfactory mortality levels and is promising for integrated pest management.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Georg Goergen, P. Lava Kumar, Sagnia B. Sankung et al. · PLoS ONE · 2016 · 1.7K citations · Full text