Evidence map›Paper›PMID 42487101›Full record

ArticleBulletin of environmental contamination and toxicology2026

Combined Effects of Air Pollution and Drought Stress in Tomato Landraces.

Nora Kováts, Bettina Eck-Varanka, Katalin Hubai, József Rádi, Gábor Teke

Abstract read
In one paragraph

Article in Bulletin of environmental contamination and toxicology, 2026. 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.

Nora KovátsCentre for Natural Sciences, University of Pannonia, Egyetem str. 10, Veszprém, 8200, Hungary. kovacs.nora@mk.uni-pannon.hu.ORCID http://orcid.org/0000-0002-3725-6662
Bettina Eck-VarankaCentre for Natural Sciences, University of Pannonia, Egyetem str. 10, Veszprém, 8200, Hungary.
Katalin HubaiCentre for Natural Sciences, University of Pannonia, Egyetem str. 10, Veszprém, 8200, Hungary.
József RádiELGOSCAR-2000 Environmental Technology and Water Management Ltd., Balatonfűzfő, 8184, Hungary.
Gábor TekeELGOSCAR-2000 Environmental Technology and Water Management Ltd., Balatonfűzfő, 8184, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Europe, agriculture has been seriously affected by the increased frequency of droughts. Agricultural fields are also exposed to traffic-related air pollution. Air pollution and drought elucidate simultaneous stress, which has been scarcely studied. The major objective of the study was to evaluate the combined effects of air pollution and drought stress on different tomato varieties/landraces. 3 commercial varieties as well as 2 Hungarian landraces were selected, effects of the combined stressors were evaluated based on biomass reduction and biochemical end-points such as photosynthetic pigments concentrations and peroxidase (POD) activity. Air pollution was simulated by treating test plants according to the No. 227 OECD Guideline. Differences were experienced in the sensitivity of varieties, landraces tested: the regional landrace 'Tápiószelei' proved the most tolerant to any combination of treatments. Results stress the importance of the cultivation of regional landraces to cope with environmental stress in a changing climate.

Indexed as

Air PollutantsAir PollutionDroughtsSolanum lycopersicumStress, PhysiologicalAir PollutantsAtmospheric particulate matter pollutionClimate changeDrought stressPolycyclic aromatic hydrocarbonsTomato landraces

Identifiers

PMID42487101
PMCPMC13391766

What OpenQuestion holds

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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.