MétaCan
Menu
Back to cohort
Record W2164844352 · doi:10.1080/07060660309507092

Estimating inoculum production relative to percent leaf area infected and environmental conditions required for stimulating release of<i>Entomosporium mespili</i>conidia on<i>Amelanchier alnifolia</i>

2003· article· en· W2164844352 on OpenAlexafffundvenueabout
Q.A. Holtslag, W. R. Remphrey, W. G. Dilantha Fernando, R. G. St-Pierre, Ruth Dill‐Macky

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsUniversity of SaskatchewanUniversity of Manitoba
FundersUniversity of Manitoba
KeywordsConidiumShrubHorticultureBiologyBerryBotanyCanopy

Abstract

fetched live from OpenAlex

Amelanchier alnifolia, commonly known as saskatoon, is a fruit-bearing shrub native to the Canadian Prairies. Currently, production is limited by the fungal pathogen Entomosporium mespili. It was found that there is a positive linear relationship between the relative concentration of E. mespili conidia (X) and the percent of saskatoon leaf area that is infected (Y), as represented by the equation Y = 0.0534X. In a field study, initial disease symptoms appeared 5 d after the first precipitation event that occurred 1 d or more after the date of flowering. A splash-dispersed-conidia trap was constructed and used to trap conidia within the canopy of a saskatoon plant and, in both years of this study, conidia were first trapped on the 184th day of the year, which coincided with the exponential increase of percent leaf area infected. Conidia were primarily released during the first 2 h of precipitation events. Information on inoculum production and release will eventually be integrated into a dynamic disease-forecasting model for entomosporium leaf and berry spot caused by E. mespili on saskatoon.

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 score0.057
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

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 head0.011
GPT teacher head0.222
Teacher spread0.211 · 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

Citations3
Published2003
Admission routes4
Has abstractyes

Explore more

Same venueCanadian Journal of Plant PathologySame topicPlant Pathogens and Fungal DiseasesFrench-language works237,207