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Record W7116785259 · doi:10.1094/php-07-25-0189-rs

Prolonged Periods of Flooding Increased the Susceptibility of <i>Gordonia lasianthus</i> to <i>Phytophthora cinnamomi</i>

2025· article· en· W7116785259 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePlant Health Progress · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogens and Resistance
Canadian institutionsCytodiagnostics (Canada)
Fundersnot available
KeywordsPhytophthora cinnamomiFlooding (psychology)EcosystemClimate changeOomyceteOrnamental plantWetlandBiodiversity

Abstract

fetched live from OpenAlex

Phytophthora cinnamomi is a globally important soilborne Oomycete plant pathogen with an extensive and diverse host range, including numerous tree species and woody ornamental plants, and has disrupted forest ecosystems on multiple continents. Members of the Gordonieae tribe, in the family Theaceae, exhibit varying degrees of susceptibility to P. cinnamomi, with Franklinia alatamaha likely being extinct in nature because it is very susceptible to this pathogen. In contrast, Gordonia lasianthus, or loblolly bay, was previously considered resistant when compared with other Gordonieae species. However, in 2019, bleeding cankers were observed on the lower trunk of mature G. lasianthus trees in a coastal forest in South Carolina, in an area that experienced extensive flooding, likely due to a recent hurricane and anthropogenic development. This study demonstrates how prolonged exposure to flooded soil conditions significantly increased susceptibility of G. lasianthus to P. cinnamomi and led to severe symptoms of wilting, defoliation, and mortality. It also suggests how host–pathogen interactions involving species of Phytophthora may shift in the future because of climate change and increased frequency of extreme weather events.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.551
Threshold uncertainty score0.210

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.014
GPT teacher head0.265
Teacher spread0.250 · 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