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Record W1225053902

Biological Control of Sclerotinia Stem Rot of Canola Using Ulocladium atrum

2007· article· en· W1225053902 on OpenAlexaboutno aff
Huang HungChang, R. S. Erickson

Bibliographic record

VenueZhíwù bìnglǐxué huìkān · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant pathogens and resistance mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsSclerotiniaSclerotinia sclerotiorumCanolaBiologyStem rotFungicideAgronomyPhomaBrassicaBiological pest controlHorticulture
DOInot available

Abstract

fetched live from OpenAlex

Field studies were conducted in 2004 and 2005 in Lethbridge, Alberta, Canada to determine the efficacy of control of Sclerotinia stem rot of canola caused by Sclerotinia sclerotiorum by the antagonistic fungus Ulocladium atrum. Compared to the untreated control, foliar application of a 10^6 spore/mL suspension of U. atrum at the rate of 300 mL/m^2 onto canola plants at the early flowering stage resulted in reductions in incidence and severity of Sclerotinia stem rot, a reduction in contamination of harvested canola seeds by sclerotia of S. sclerotiorum, and an increase in canola seed yield. The effectiveness of U. atrum was similar to the treatment of the mycoparasite Coniothyrium minitans, but not as good as foliar application of 750 g/ha of the fungicide Lance (boscalid). Suggestions for further research on enhancing the effectiveness of U. atrum as a biological control agent for Sclerotinia diseases caused by S. sclerotiorum, and assessing its eco-friendliness, are discussed.

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 score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.216
Teacher spread0.177 · 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

Citations9
Published2007
Admission routes1
Has abstractyes

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