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Record W4412425611 · doi:10.1111/aab.70037

Toxicity of essential oils from Nordic plants against different pathogenic organisms and pests of cultivated plants

2025· article· en· W4412425611 on OpenAlexafffundabout
Antoine Roy‐Lemieux, Maxime Delisle‐Houde, Pauline Navarro, André Marette, Russell J. Tweddell

Bibliographic record

VenueAnnals of Applied Biology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEssential Oils and Antimicrobial Activity
Canadian institutionsUniversité Laval
FundersAgriculture and Agri-Food CanadaNatural Sciences and Engineering Research Council of CanadaMinistère de l'Agriculture, des Pêcheries et de l'AlimentationUniversité Laval
KeywordsBiologyBotanyToxicityBiotechnologyToxicology

Abstract

fetched live from OpenAlex

Abstract Plant essential oils (EOs) represent a potentially effective, safe, and eco‐friendly alternative to synthetic pesticides that cause negative effects for human health and the environment. While numerous studies have been conducted with EOs from tropical and temperate plants, very few studies have investigated the toxicity of EOs from Nordic plants against plant pathogenic organisms and pests. The present study evaluated in airtight glass chambers the toxicity of vapours produced by EOs obtained from sweet gale, balsam poplar, Labrador tea, jack pine, and black spruce against different pathogenic organisms and pests of cultivated plants. Vapours of Labrador tea EO strongly or completely inhibited the mycelial growth of Alternaria solani , Phytophthora capsici , and Sclerotinia sclerotiorum , while vapours of sweet gale, black spruce, and jack pine EOs inhibited the mycelial growth to a lesser extent. Vapours of all tested EOs were shown to have bactericidal activity against Clavibacter michiganensis subsp. michiganensis , insecticidal activity against bird cherry‐oat aphids, acaricidal activity against spider mites, and phytotoxicity against Powell's amaranth. The study reveals the toxicity of EOs from Nordic plants against various pathogens and pests affecting crops, opening new avenues of research for the development of low‐risk alternatives to synthetic pesticides in agriculture, with minimal impact on the environment and human health.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.248
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes3
Has abstractyes

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