Evidence map›Paper›PMID 41024584›Full record

ArticlePest management science2026

Modeling of suitable geographic areas for Striacosta albicosta in corn and dry bean crops under climate change scenarios.

Poliana S Pereira, Julie A Peterson, Rodrigo S Ramos, Katharine A Swoboda Bhattarai, Marcelo C Picanço, Renato A Sarmento

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pest management science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

6 authors.

Poliana S PereiraPostgraduate Program in Plant Production, Federal University of Tocantins, Gurupi, Brazil.ORCID https://orcid.org/0000-0002-0794-9863
Julie A PetersonDepartment of Entomology, University of Nebraska-Lincoln, West Central Research, Extension & Education Center, North Platte, Nebraska, USA.
Rodrigo S RamosDepartment of Entomology, Federal University of Viçosa, Viçosa, Brazil.ORCID https://orcid.org/0000-0002-7659-834X
Katharine A Swoboda BhattaraiDepartment of Entomology, University of Nebraska-Lincoln, West Central Research, Extension & Education Center, North Platte, Nebraska, USA.
Marcelo C PicançoDepartment of Entomology, Federal University of Viçosa, Viçosa, Brazil.
Renato A SarmentoPostgraduate Program in Plant Production, Federal University of Tocantins, Gurupi, Brazil.ORCID https://orcid.org/0000-0002-5379-9595

Funding

Hatch Multistate Research capacity funding program (Accession Number 1006556) from the USDA National Institute of Food and AgriculturePrograma Nacional de Cooperação Acadêmica na Amazônia (PROCAD AMAZÔNIA - Process: 88881.357579/2019-01) of the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES, Brazil
6 · The paper itself

Abstract

backgroundStriacosta albicosta (Lepidoptera: Noctuidae) is an important pest that causes damage to corn and dry beans. This pest originally occurred only in parts of the western United States, but initiated a concerning range expansion in 1999 and is now present in eastern North America, particularly in the Great Lakes region. Consequently, evaluating the geographical distribution of this insect is very important for its management, as it helps to identify current occurrences and predict future spread into different regions of the world. We investigated areas suitable for the establishment of the pest S. albicosta and its hosts, under current and future climate scenarios.

resultsThe variables that contributed most to the model were the mean annual temperature range, mean annual temperature, and precipitation of the driest month. Although the pest is currently restricted to North America, the study indicates that regions in Europe, Asia, Oceania, South America, and Africa also present suitable conditions for its occurrence. Under current conditions, 11.41% of the area was classified as suitable, whereas 8.81% was identified as highly suitable for S. albicosta.

conclusionThis study is the first to identify regions with suitable climatic conditions for the introduction and establishment of this pest under current and future climate scenarios. These results can guide government agencies in implementing preventive measures, such as inspections and quarantines, to prevent the spread of this pest to new areas. © 2025 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

Animal DistributionClimate ChangeMothsPhaseolusZea maysAnimalsCrops, Agriculturalclimate modelingMaxEntPhaseolus vulgarisWestern bean cutworm (WBC)Zea mays

Identifiers

PMID41024584
PMCPMC12713701

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.