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Record W4409333637 · doi:10.3390/crops5020021

Grapevine Response to Pyroligneous Acid: Antifungal, Physiological, and Biochemical Impacts

2025· article· en· W4409333637 on OpenAlexafffund
Efoo Bawa Nutsukpo, Peter Amoako Ofori, Raphael Ofoe, Anagha Pradeep Kumar, Samuel K. Asiedu, Chijioke Emenike, Lord Abbey

Bibliographic record

VenueCrops · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHorticultural and Viticultural Research
Canadian institutionsDalhousie University
FundersAgriculture and Agri-Food CanadaResearch Nova ScotiaCanada Foundation for Innovation
KeywordsAntifungalBiologyChemistryMicrobiology

Abstract

fetched live from OpenAlex

Botrytis cinerea is a major fungal pathogen causing significant economic losses in grapevines worldwide. To address the environmental concerns associated with overreliance on synthetic fungicides, this study investigated the antifungal efficacy of varying concentrations of pyroligneous acid (PA) (0, 2, and 4%) compared to a commercial fungicide (Switch®) against B. cinerea in grapevines (Vitis vinifera ‘Himrod’), as well as its physiological and biochemical responses. Our preliminary in vitro assays using the poisoned food method showed that PA significantly (p < 0.05) inhibited B. cinerea mycelial growth by approximately 0.70-, and 1-fold, respectively, compared to the 0% PA during the three weeks of observation. The results also demonstrated that the 2% PA and 4% PA treatments, as well as the Switch® application, significantly (p < 0.05) reduced average lesion length by 0.19-, 0.52-, and 0.85-fold, respectively, compared to the untreated plants with Botrytis alone. Both the 4% PA and Switch® significantly (p < 0.05) increased the maximum quantum efficiency of photosystems II (Fv/Fm) and potential photosynthetic capacity (Fv/Fo) by approximately 0.02-fold and 0.1-fold, respectively, compared to the untreated plants with Botrytis alone. The 2 and 4% PA treatments also increased total carotenoids and flavonoids. Further molecular studies are recommended to elucidate the mechanisms underlying the observed physiological and biochemical changes.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score0.267

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.023
GPT teacher head0.292
Teacher spread0.269 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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