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Record W4416168305 · doi:10.24326/asphc.2025.5526

Evaluation of sustainable strategies for greenhouse pest control in chrysanthemum and sweet pepper production

2025· article· en· W4416168305 on OpenAlexaboutno aff
Gerard Podedworny, Robert Kobierski, Bartłomiej Borowski, Małgorzata Tartanus

Bibliographic record

VenueActa Scientiarum Polonorum Hortorum Cultus · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pest Control Strategies
Canadian institutionsnot available
FundersUniwersytet Łódzki
KeywordsTetranychus urticaePepperThripsAbamectinSpider mitePest controlIntegrated pest managementPEST analysis

Abstract

fetched live from OpenAlex

The effectiveness of 16 examples of selected sustainable practices in pest control (i.e. application of plant-derived products, microbial agents or inorganic compounds with expected low environmental impact; simultaneous use of already registered active substances against other harmful organisms, and trap cropping) was tested in the protected cultivation of Chrysanthemum × morifolium Creamist Golden and Capsicum annuum Ożarowska against the two-spotted spider mite (Tetranychus urticae Koch.) and thrips (Frankliniella occidentalis (Pergande), Thrips tabaci Lind.). The study identified Bacillus subtilis, common nettle manure, willow bark decoction, oregano and cinnamon essential oils as the most promising solutions for reducing spider mite population. However, in the thrips control, the infusion of Canadian goldenrod root showed a high immediate efficacy that was comparable to the abamectin that was used as a reference product. Further research on these substances is recommended to increase their effectiveness, understand their mode of action against pests and determine the impact on crops.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.015
GPT teacher head0.256
Teacher spread0.241 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueActa Scientiarum Polonorum Hortorum CultusSame topicInsect Pest Control StrategiesFrench-language works237,207