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Record W7053463579

VIRULENCE OF SEPTORIA TRISETI AND FUNGICIDE CONTROL OF LEAF MOTTLE AND FUSARIUM SEED INFECTION OF CANARY SEED (PHALARIS CANARIENSIS)

2016· dissertation· en· W7053463579 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library - University of Saskatchewan (University of Saskatchewan) · 2016
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsSeptoriaPopulationVirulenceFungicidePathogenSeed treatmentPanicle
DOInot available

Abstract

fetched live from OpenAlex

Leaf mottle, caused by Septoria triseti, is the most important disease of canary seed (Phalaris canariensis L.) in western Canada and when severe it may cause reduction of canary seed yield.Understanding the host-pathogen interaction and the variation in virulence of the pathogen population is important for the development of durable resistance in canary seed cultivars.Recently, canary seed was approved as food for human consumption and identification of pathogenic fungal species on canary seed panicles is necessary to monitor seed quality.The areas during my program.A special thanks to Dr. Pierre Hucl for supporting the canary seed project.I want to thank all members of the Cereal and Flax Pathology group for their guidance in field and lab work, especially Jess Taylor and Tim Dament who taught me the first techniques at the beginning of my project.I want to thank all the people that were part of my life during my master's program, those who I saw every day and shared a smile, a lunch and just a greeting because they gave me the energy to continue,

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.004
GPT teacher head0.159
Teacher spread0.155 · 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.

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
Published2016
Admission routes1
Has abstractyes

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