Bioecology of fall armyworm Spodoptera frugiperda

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...

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Veröffentlicht in:PloS one 2021-06, Vol.16 (6), p.e0249042
Hauptverfasser: Niassy, Saliou, Agbodzavu, Mawufe Komi, Kimathi, Emily, Mutune, Berita, Abdel-Rahman, El Fatih M, Salifu, Daisy, Hailu, Girma, Belayneh, Yeneneh T, Felege, Elias, Tonnang, Henri E. Z, Ekesi, Sunday, Subramanian, Sevgan
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container_issue 6
container_start_page e0249042
container_title PloS one
container_volume 16
creator Niassy, Saliou
Agbodzavu, Mawufe Komi
Kimathi, Emily
Mutune, Berita
Abdel-Rahman, El Fatih M
Salifu, Daisy
Hailu, Girma
Belayneh, Yeneneh T
Felege, Elias
Tonnang, Henri E. Z
Ekesi, Sunday
Subramanian, Sevgan
description 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.
doi_str_mv 10.1371/journal.pone.0249042
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subjects Analysis
Army-worms
Environmental aspects
Geospatial data
Population biology
title Bioecology of fall armyworm Spodoptera frugiperda
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