Evidence map›Paper›PMID 34115755›Full record

ArticlePloS one2021

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

Saliou Niassy, Mawufe Komi Agbodzavu, Emily Kimathi, Berita Mutune, El Fatih M Abdel-Rahman, Daisy Salifu, Girma Hailu, Yeneneh T Belayneh, Elias Felege, Henri E Z Tonnang and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.9field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Tracking phases of the fall armyworm (Biological invasions · 2026
    Article
  8. Article
  9. Monitoring Activity ofJournal of toxicology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Forecasting the seasonal phenology ofFrontiers in insect science · 2024
    Article
  15. Frontiers in plant science · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Identification ofInsects · 2023
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 2 countries.

Saliou NiassyInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.ORCID 0000-0003-1061-4041
Mawufe Komi AgbodzavuInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.ORCID 0000-0001-5435-1250
Emily KimathiInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.
Berita MutuneInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.
El Fatih M Abdel-RahmanInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.
Daisy SalifuInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.
Girma HailuInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.
Yeneneh T BelaynehDCHA/OFDA, Washington, D.C., United States of America.
Elias FelegeDesert Locust Control Organization for Eastern Africa (DLCO-EA), Ethiopia.
Henri E Z TonnangInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.
Sunday EkesiInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.
Sevgan SubramanianInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.
International Centre of Insect Physiology and Ecology · KEAfrican Union · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

SeasonsSpodopteraAfricaAnimalsCrops, AgriculturalPopulation DynamicsZea mays

Identifiers

PMID34115755
PMCPMC8195398
OpenAlexW3171968441

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.