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Record W4400688852 · doi:10.1080/07060661.2024.2371893

Morphological and molecular characterization of the European dagger nematode <i>Xiphinema diversicaudatum</i> on peach ( <i>Prunus persica</i> ) in Canada

2024· article· en· W4400688852 on OpenAlexafffundvenueabout
Jerry Akanwari, Qing Yu, Tahera Sultana

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNematode management and characterization studies
Canadian institutionsBrock UniversityAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food Canada
KeywordsPrunusDaggerBiologyNematodeBotanyHorticultureEcologyPhilosophyTheology

Abstract

fetched live from OpenAlex

Plant-parasitic nematodes (PPNs) pose a significant threat to global agriculture, leading to substantial yield losses. Managing nematode populations remains a challenging option due to financial, technical and environmental constraints. In Ontario, Canada, the presence of Xiphinema nematodes, a virus vector species, is of particular concern. This study reports the discovery of X. diversicaudatum in a peach field in Southern Ontario, Canada. The description includes morphological and molecular characterization using the 18S and 28S rDNA sequences. Morphological and molecular characterization of Ontario’s population matched those from Europe. While X. diversicaudatum was presumed eradicated from Canada, the present finding showed that the nematode could have spread beyond greenhouses. The study highlights the importance of intensive soil sampling for early nematode detection, even as strict reporting requirements may deter such efforts. We report for the first time the presence of X. diversicaudatum on peaches in Canada and in North America.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score0.808

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.008
GPT teacher head0.156
Teacher spread0.147 · 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 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

Citations1
Published2024
Admission routes4
Has abstractyes

Explore more

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