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Record W4406155984 · doi:10.1111/nph.20351

An emerging fungal disease is spreading across the globe and affecting the blueberry industry

2025· article· en· W4406155984 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

VenueNew Phytologist · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPowdery Mildew Fungal Diseases
Canadian institutionsAgriculture and Agri-Food Canada
FundersNovo Nordisk FondenNovo NordiskNational Science Foundation
KeywordsPowdery mildewHerbariumBiologyIdentification (biology)OutbreakChinaGeographyAgroforestryBotany

Abstract

fetched live from OpenAlex

Powdery mildew is an economically important disease caused by c. 1000 different fungal species. Erysiphe vaccinii is an emerging powdery mildew species that is impacting the blueberry industry. Once confined to North America, E. vaccinii is now spreading rapidly across major blueberry-growing regions, including China, Morocco, Mexico, and the USA, threatening millions in losses. This study documents its recent global spread by analyzing both herbarium specimens, some over 150-yr-old, and fresh samples collected world-wide. Our findings were integrated into a 'living phylogeny' via T-BAS to simplify pathogen identification and enable rapid responses to new outbreaks. We identified 50 haplotypes, two primary introductions world-wide, and revealed a shift from a generalist to a specialist pathogen. This research provides insights into the complexities of host specialization and highlights the need to address this emerging global threat to blueberry production.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.869

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.026
GPT teacher head0.304
Teacher spread0.278 · 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