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Bioecology of fall armyworm Spodoptera frugiperda (J. E. Smith), its management and potential patterns of seasonal spread in Africa

dc.contributor.authorNiassy, S.
dc.contributor.authorAgbodzavu, K.M.
dc.contributor.authorKimathi, E.K.
dc.contributor.authorMutune, B.
dc.contributor.authorAbdel-Rahman, E.M.
dc.contributor.authorSalifu, D.
dc.contributor.authorHailu, G.
dc.contributor.authorBelayneh, Y.T.
dc.contributor.authorFelege, E.
dc.contributor.authorTonnang, H.
dc.contributor.authorEkesi, S.
dc.contributor.authorSubramanian, S.
dc.date.accessioned2021-07-08T14:52:21Z
dc.date.available2021-07-08T14:52:21Z
dc.date.issued2021
dc.identifier.citationNiassy, S., Agbodzavu, K.M., Kimathi, E., Mutune, B., Abdel-Rahman, E.M., Salifu, D., ... & Subramanian, S. (2021). Bioecology of fall armyworm Spodoptera frugiperda (J. E. Smith), its management and potential patterns of seasonal spread in Africa. PLOS ONE, 16(6), e0249042: 1-24.
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7167
dc.description.abstractFall 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.
dc.format.extent1-24
dc.language.isoen
dc.subjectSpodoptera Frugiperda
dc.subjectSubsaharan Africa
dc.subjectPests of Plants
dc.subjectMaize
dc.subjectIntercropping
dc.subjectCropping Systems
dc.subjectEast Africa
dc.titleBioecology of fall armyworm Spodoptera frugiperda (J. E. Smith), its management and potential patterns of seasonal spread in Africa
dc.typeJournal Article
cg.contributor.affiliationInternational Centre of Insect Physiology and Ecology
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationDCHA/OFDA, United States of America
cg.contributor.affiliationDesert Locust Control Organization for Eastern Africa, Ethiopia
cg.coverage.regionAfrica
cg.coverage.regionEast Africa
cg.coverage.countryBurundi
cg.coverage.countryEthiopia
cg.coverage.countryKenya
cg.coverage.countryRwanda
cg.coverage.countryTanzania
cg.coverage.countryUganda
cg.coverage.hubEastern Africa Hub
cg.identifier.bibtexciteidNIASSY:2021
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectCrop Systems
cg.iitasubjectFarming Systems
cg.iitasubjectMaize
cg.iitasubjectPests of Plants
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Health
cg.iitasubjectPlant Production
cg.journalPLOS ONE
cg.notesOpen Access Journal; Published online: 11 June 2021
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1371/journal.pone.0249042
cg.iitaauthor.identifierMawufe Agbodzavu: 0000-0001-5435-1250
cg.futureupdate.requiredNo
cg.identifier.issue6: e0249042
cg.identifier.volume16


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