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Record W2186541790

Epidemiology and spread of Leptosphaeria species (phoma stem canker) on brassicas

2013· preprint· en· W2186541790 on OpenAlexaboutno aff
Bruce D.L. Fitt, David Hughes, Henrik U. Stotz, Bruce A. McDonald, Thierry Rouxel

Bibliographic record

VenueUniversity of Hertfordshire Research Archive (University of Hertfordshire) · 2013
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Resistance and Genetics
Canadian institutionsnot available
Fundersnot available
KeywordsCankerLeptosphaeria maculansPhomaBiologyBotanyBrassica
DOInot available

Abstract

fetched live from OpenAlex

Leptosphaeria maculans and L. biglobosa, cause of phoma stem canker disease of brassicas, are related pathogens of brassicas that were originally considered as one species but occupy slightly different ecological niches and are now reproductively isolated. Both pathogens are naturally dispersed by air-borne ascospores, produced on infected crop debris, which may be dispersed over longer distances as a contaminant in internationally traded seed cargoes. Globally, the invasion by the more damaging L. maculans into areas where only L. biglobosa was present occurred in North America in the 1980s and Eastern Europe in the 1990s, whereas there are still areas of the world, such as China, where only L. biglobosa is present. In addition, the worldwide population of L. maculans is much less variable than that of L. biglobosa, which has populations related to particular geographic areas (Australia, Canada and the Indo-European continent) that should be considered as different species that diverged > 4MYA. Further evidence is provided by the massive invasion of the genome of L. maculans by numerous repeated elements; recent evidence suggests that divergence between L. biglobosa and L. maculans occurred 72MYA. As the environment and brassica cropping patterns alter in response to climate change, further evolution of these two Leptosphaeria species will occur, with possible increases in the range and severity of phoma stem canker epidemics.

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 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 score0.610
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0020.002
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 head0.075
GPT teacher head0.259
Teacher spread0.185 · 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
Published2013
Admission routes1
Has abstractyes

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