PLoS ONE · 2021 · 88 citations · 50 references
Life SciencesAgronomyEntomologyAgricultural EntomologyCropping SystemsInsect EcologyCrop Pest InsectsInsect MonitoringInsect Pest SurveillancePest ForecastingPest ManagementPest SurveillanceCrop MonitoringInsect Pest DetectionLife Stage MonitoringPest Forecasting ModelsPest Population MonitoringPest Surveillance SystemsPest SurveyingSeasonal Pest Forecasting
Fall armyworm, Spodoptera frugiperda (J. E. Smith) has rapidly spread in sub-Saharan Africa (SSA) and has emerged as a major pest of maize and sorghum in the continent. For effective monitoring and a better understanding of the bioecology and management of this pest, a Community-based Fall Armyworm Monitoring, Forecasting, Early Warning and Management (CBFAMFEW) initiative was implemented in six eastern African countries (Ethiopia, Kenya, Tanzania, Uganda, Rwanda and Burundi). Over 650 Community Focal Persons (CFPs) who received training through the project were involved in data collection on adult moths, crop phenology, cropping systems, FAW management practices and other variables. Data collection was performed using Fall Armyworm Monitoring and Early Warning System (FAMEWS), a mobile application developed by the Food and Agricultural Organization (FAO) of the United Nations. Data collected from the CBFAMFEW initiative in East Africa and other FAW monitoring efforts in Africa were merged and analysed to determine the factors that are related to FAW population dynamics. We used the negative binomial models to test for effect of main crops type, cropping systems and crop phenology on abundance of FAW. We also analysed the effect of rainfall and the spatial and temporal distribution of FAW populations. The study showed variability across the region in terms of the proportion of main crops, cropping systems, diversity of crops used in rotation, and control methods that impact on trap and larval counts. Intercropping and crop rotation had incident rate 2-times and 3-times higher relative to seasonal cropping, respectively. The abundance of FAW adult and larval infestation significantly varied with crop phenology, with infestation being high at the vegetative and reproductive stages of the crop, and low at maturity stage. This study provides an understanding on FAW bioecology, which could be vital in guiding the deployment of FAW-IPM tools in specific locations and at a specific crop developmental stage. The outcomes demonstrate the relevance of community-based crop pest monitoring for awareness creation among smallholder farmers in SSA.
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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
Fall Armyworm: Impacts and Implications for Africa
Roger Day, P.W. Abrahams, Melanie Bateman et al. · Outlooks on Pest Management · 2017 · 1K citations
Life Sciences, Biology, Entomology +11