Evidence map›Paper›PMID 40138114›Full record

ArticleNeotropical entomology2025

EPG Reveals Dinotefuran's Efficiency in Suppressing the Feeding Behavior of Frankliniella occidentalis on Kidney Bean Leaves.

Song Tian, Junrui Zhi, Wenbo Yue, Dingyin Li, Li Liu

Abstract read
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In one paragraph

Article in Neotropical entomology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Song TianInstitute of Entomology, Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Guizhou University, Guiyang, China.ORCID http://orcid.org/0009-0005-0047-6062
Junrui ZhiInstitute of Entomology, Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Guizhou University, Guiyang, China. jrzhi@gzu.edu.cn.ORCID http://orcid.org/0000-0002-9428-1733
Wenbo YueInstitute of Entomology, Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Guizhou University, Guiyang, China.ORCID http://orcid.org/0000-0002-5379-6626
Dingyin LiInstitute of Entomology, Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Guizhou University, Guiyang, China.ORCID http://orcid.org/0000-0002-3239-5698
Li LiuInstitute of Entomology, Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Guizhou University, Guiyang, China.ORCID http://orcid.org/0000-0002-0903-9679

Funding

National Natural Science Foundation of China 31660516
6 · The paper itself

Abstract

Western flower thrips (WFT), Frankliniella occidentalis (Thysanoptera: Thripidae), is one of the serious damage pests on agricultural production globally. Dinotefuran is an effective insecticide to control this pest. This study compared the feeding behavior and feeding area of F. occidentalis on the kidney bean leaves under four treatments: F. occidentalis, whether treated with dinotefuran (DWFT) or untreated (CWFT), each fed on kidney bean leaves that were either treated with dinotefuran (DP) or untreated with dinotefuran (CP). (labeled as: DWFT-DP, CWFT-DP, DWFT-CP, and CWFT-CP (control), respectively). After 72 h, the LC

Indexed as

Feeding BehaviorGuanidinesInsecticidesNeonicotinoidsNitro CompoundsPhaseolusThysanopteraAnimalsInsect ControlPlant LeavesdinotefuranGuanidinesInsecticidesNeonicotinoidsNitro Compoundsbehavioral traitsdinotefuranelectrical penetration graphingestionleaf damageWestern flower thrips

Identifiers

PMID40138114

What OpenQuestion holds

Textmetadata
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.