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Record W2613369457

Epidemiology and Management of Stemphylium Leaf Blight on Onion (Allium Cepa L.) in The Holland Marsh, Ontario

2017· dissertation· en· W2613369457 on OpenAlexfundaboutno aff
Cyril Selasi Tayviah

Bibliographic record

VenueThe Atrium (University of Guelph) · 2017
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicGarlic and Onion Studies
Canadian institutionsnot available
FundersMinistry of Agriculture, Food and Rural AffairsOntario Ministry of Agriculture, Food and Rural Affairs
KeywordsAlliumBlightMarshBiologyHorticultureEcologyWetland
DOInot available

Abstract

fetched live from OpenAlex

Stemphylium leaf blight (SLB), caused by Stemphylium vesicarium Wallr (Simmons) (teleomorph: Pleospora allii. (Rabenh.) Ces. & De Not), is a destructive disease of onion. The objective of this study was to assess the epidemiology of SLB in Ontario and evaluate management strategies. Stemphylium leaf blight first appeared at the end of June to mid-July in 2015 and 2016, coinciding with air-borne conidia of S. vesicarium (based on spore trapping), frequent rainfall, and air temperatures ≥ 15 °C. Onion cultivars Pontiac, Milestone and Hendrix were slightly less susceptible to SLB compared to the other commercial cultivars in the study. A protective application of fluopyram plus pyrimethanil at the 3 4 leaf stage reduced SLB incidence, but later applications had little impact. Aerial infrared photography demonstrated the potential to identify differences in onion plots, but these differences were not related to SLB. Additional research is needed to evaluate more fungicides and spray-timings for SLB management.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.042
GPT teacher head0.246
Teacher spread0.204 · 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 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

Citations8
Published2017
Admission routes2
Has abstractyes

Explore more

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