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Record W4319438847 · doi:10.1080/07060661.2023.2177749

Systemically induced resistance against disease of wheat caused by <i>Fusarium graminearum</i>

2023· article· en· W4319438847 on OpenAlexaffvenue
Abdurraouf Abaya, Allen Xue, Tom Hsiang

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of Guelph
Fundersnot available
KeywordsInoculationFusariumPathogenBiologyBiological pest controlAgar plateAgarHorticultureMicrobiologyBacteria

Abstract

fetched live from OpenAlex

The endophytic fungi Simplicillium lamellicola and Clonostachys rosea were assayed for their ability to induce resistance in wheat against disease caused by Fusarium graminearum Schwabe in growth room and outdoor tests. Agar inoculum of the endophytes was applied 4 days before agar inoculum of F. graminearum was applied to adjacent leaves. Simplicillium lamellicola or C. rosea treatments applied on one leaf significantly reduced the disease on another leaf by between 68 and 70% in growth room tests at 11 days post pathogen inoculation and by between 43 and 49% in outdoor tests at 9 days after inoculation compared to pathogen-inoculated controls with no biocontrols. Simplicillium lamellicola is a promising biocontrol agent since it systemically induced disease resistance in wheat against Fusarium graminearum. Future work is needed to investigate the mode of action of the defence responses and the proper formulation and application of this biocontrol agent.

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 score0.001
Threshold uncertainty score0.004

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 integrity0.0000.001
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 head0.010
GPT teacher head0.203
Teacher spread0.193 · 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

Citations2
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Plant PathologySame topicPlant Pathogens and Fungal DiseasesFrench-language works237,207