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Record W7036342702

Canadian goldenrod residues and extracts inhibit the growth of Streptomyces scabiei, the causal agent of potato common scab

2018· other· en· W7036342702 on OpenAlexaboutno aff

Bibliographic record

VenueConstellation (Université du Québec à Chicoutimi) · 2018
Typeother
Languageen
FieldArts and Humanities
TopicPhilosophical and Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCommon scabChemical controlPesticidePathogenResidue (chemistry)StreptomycesAcaricide
DOInot available

Abstract

fetched live from OpenAlex

Common scab is one of the most important diseases affecting potato crops worldwide. Using fresh residues and/or bio-products of Canadian goldenrod (Solidago canadensis) may offer an alternative to harmful conventional fumigants. In this study, we aimed to: (i) conduct a preliminary investigation of the utilization of S. canadensis to reduce common scab severity (Experiment 1), and (ii) determine the allopathic potentials of S. canadensis extracts on Streptomyces scabiei (also known as S. scabies), the most important soil pathogen responsible for causing common scab in North America (Experiment 2). Compared with control plants, preliminary results showed that adding 1.2 kg of fresh S. canadensis residue per m2 reduced scab severity by about 45% (Experiment 1). Furthermore, hexane and dichloromethane extracts of S. canadensis, at a concentration of 200 µg·mL−1, inhibited the growth of S. scabiei by about 97% (Experiment 2). These results were comparable with those using tetracycline (2.5 µg·mL−1), a known inhibitor of S. scabiei. Both experiments suggested that S. canadensis may represent a new approach for controlling potato common scab. More studies are required to better understand the mechanisms involved in S. canadensis induced reduction of common scab in order to standardize the approaches. \n \nLa gale commune est une maladie tellurique importante chez la pomme de terre et l’utilisation de résidus et/ou extraits de verge d’or du Canada (Solidago canadensis) pourrait représenter une alternative prometteuse aux pesticides (fumigants) utilisés pour combattre la maladie. Les objectifs de cette recherche étaient i) effectuer une expérience préliminaire afin de mesurer les effets de l’incorporation de résidus frais de S. canadensis sur la sévérité de la gale commune (expérience 1) et ii) déterminer les potentiels allélopathiques des extraits de S. canadensis sur Streptomyces scabiei, un important agent pathogène causant la maladie de la gale commune (expérience 2). Nos résultats préliminaires issus de l’expérience 1 montrent qu’ajouter 1.2 kg m−2 de S. canadensis (résidus frais) permet de réduire significativement de 45% la sévérité de la gale commune. Les extraits de S. canadensis effectués avec l’hexane et le dichlorométhane et à des concentrations de 200 µg mL−1 permettent d’inhiber à 97% la croissance de S. scabiei, résultats comparables à la tétracycline (2.5 µg mL−1), un antibiotique connu pour inhiber la croissance de S. scabiei. Les résultats de cette étude montrent clairement et pour une première fois le potentiel d’utilisation de S. canadensis comme moyen de lutte contre la maladie de la gale commune chez la pomme de terre. D’autres recherche seront toutefois nécessaires pour bien comprendre et cibler les mécanismes impliqués afin de standardiser et d’optimiser cette nouvelle et prometteuse approche.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.913
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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 head0.013
GPT teacher head0.178
Teacher spread0.165 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

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