Evidence map›Paper›PMID 41465647›Full record

ArticleInsects2025

Identification and Evaluation of Alfalfa Volatiles for Monitoring and Management of

Yingning Luo, Shuhua Wei, Fang Tang, Mark R McNeill, Xiongbing Tu, Yanqi Liu, Chen Han, Changqing Qu, Xuewei Yin, Liping Ban

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Insects, 2025. 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

10 authors.

Yingning LuoEngineering Technology Research Center of Anti-Aging Chinese Herbal Medicine of Anhui Province, Fuyang Normal University, Fuyang 236037, China.ORCID 0009-0005-0787-8275
Shuhua WeiInstitute of Plant Protection, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, China.ORCID 0000-0003-2479-707X
Fang TangCollege of Grassland Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Mark R McNeillBioeconomy Science Institute, Christchurch 8140, New Zealand.ORCID 0000-0001-9140-610X
Xiongbing TuState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0003-0676-8777
Yanqi LiuCollege of Grassland Science, Inner Mongolia Agricultural University, Hohhot 010018, China.
Chen HanPowerchina Huadong Engineering Corporation Limited, Hangzhou 311100, China.
Changqing QuEngineering Technology Research Center of Anti-Aging Chinese Herbal Medicine of Anhui Province, Fuyang Normal University, Fuyang 236037, China.ORCID 0000-0003-0832-4299
Xuewei YinCollege of Grassland Science and Technology, China Agricultural University, Beijing 100193, China.
Liping BanCollege of Grassland Science and Technology, China Agricultural University, Beijing 100193, China.ORCID 0000-0001-8560-6922

Funding

Beijing Innovation Consortium of Modern Agricultural Industry Technology System BAIC02-2025National Natural Science Foundation of China 32573603Open Project of Provincial and Ministerial Scientific Research Platform, Fuyang Normal University FSKFKT027DState Key Laboratory for Biology of Plant Diseases and Insect Pests SKLOF202516
6 · The paper itself

Abstract

Plant-derived volatile organic compounds (VOCs) are widely used as insect attractants for population monitoring, offering an efficient and eco-friendly approach to pest management. Since thrips are the dominant pest species in alfalfa (

Indexed as

Medicago sativaolfactory cuessemiochemicalsthripsvolatile organic compounds

Identifiers

PMID41465647
PMCPMC12733796

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.