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Record W2099269210 · doi:10.1080/07060660609507316

Genetic diversity of<i>Sclerotinia</i>species from Alaskan vegetable crops

2006· article· en· W2099269210 on OpenAlexvenueno aff
Loretta M. Winton, Andrew Krohn, Roseann Hartke Leiner

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant pathogens and resistance mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsSclerotinia sclerotiorumSclerotiniaBiologyPopulationAscocarpFungusAscosporeBotanySpore

Abstract

fetched live from OpenAlex

Abstract White mold diseases are prevalent and difficult to manage on vegetable crops in the Matanuska Valley, the main agricultural region of Alaska. Prior research on Sclerotinia sclerotiorum, the primary white mold pathogen throughout the world, has shown it to be predominantly clonal in cool temperate regions, whereas sexual recombination contributes to the population structure in milder climates. We examined the population structure of the fungus in the subarctic region of Alaska to determine whether the trend towards clonality is sustained at more extreme latitudes. Microsatellite and ribosomal DNA markers revealed that S. sclerotiorum populations in Alaska comprise predominantly, if not exclusively, nonrecombining clonal lineages. Surprisingly, many diseased plants were found to be infected by the cryptic Sclerotinia sp. 1, a closely related fungus previously reported on wild plant species and cultivated potato from Norway. In some fields, Sclerotinia sp. 1 was the only pathogen involved in disease. However, white mold in most fields was caused by both Sclerotinia sp. 1 and S. sclerotiorum in sympatry. Keywords: Sclerotinia sclerotiorum Sclerotinia sp. 1white moldlettuce dropcabbagebeanpotatosquashbasilclonality

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.013
GPT teacher head0.150
Teacher spread0.137 · 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

Citations28
Published2006
Admission routes1
Has abstractyes

Explore more

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