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Record W2089996196 · doi:10.4141/p06-094

Effects of summer and fall applications of foliar boron on fruit bud winter injury in wild blueberry (<i>Vaccinium angustifolium</i> Ait.)

2007· article· en· W2089996196 on OpenAlexaffvenue
Leonard J. Eaton, H-Y. Ju, Kevin Sanderson

Bibliographic record

VenueCanadian Journal of Plant Science · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Physiology and Cultivation Studies
Canadian institutionsAgriculture and Agri-Food CanadaNova Scotia Department of Agriculture
Fundersnot available
KeywordsVacciniumBiologyCropEricaceaeAnnual growth cycle of grapevinesHorticultureBotanyAgronomyShoot

Abstract

fetched live from OpenAlex

The effects of single and multiple applications of foliar B to two commercial wild blueberry sites during 1999 to 2001 were determined. The effects on tissue B concentrations and winter injury to developing fruit buds was evaluated. At one site, applications of foliar B in summer or fall or in both seasons increased tissue B levels in the first crop fruit buds, but the increases were not observed 1 yr later in the second crop fruit buds. At the other site, applications of foliar B in both the summer and fall of two successive cropping cycles reduced winter injury compared with untreated controls, indicating that multiple foliar B applications may be required to reduce winter injury to developing buds of wild blueberry. Key words: Extractable boron, bud damage, tissue boron concentration, Vaccinium angustifolium Ait.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.051

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)0.0010.000

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 head0.009
GPT teacher head0.219
Teacher spread0.210 · 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 designBench or experimental
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

Citations5
Published2007
Admission routes2
Has abstractyes

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