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Record W4410028608 · doi:10.1094/pdis-04-24-0806-re

Evaluation of Fall and Spring Lime Applications for the Management of Clubroot of Canola in Western Canada

2025· article· en· W4410028608 on OpenAlexaffabout
Zhiyu Yu, Sheau‐Fang Hwang, Stephen E. Strelkov

Bibliographic record

VenuePlant Disease · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Resistance and Genetics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsClubrootCanolaLimeBiologyAgronomyBrassicaGreenhouseHorticulture

Abstract

fetched live from OpenAlex

Clubroot, a soilborne disease caused by Plasmodiophora brassicae, poses a significant threat to canola (Brassica napus) production. The use of lime to elevate soil pH shows promise for clubroot management. In this study, limestone and hydrated lime (HL) were evaluated for their effectiveness in controlling clubroot across four field sites in 2019 to 2020 and 2021 to 2022, and in greenhouse trials conducted in 2019 to 2020 and 2020 to 2021. The treatments included an untreated control (UTC), limestone applied at rates of 5 and 10 t ha−1 in either fall or spring, spring application of HL at 5.0 and 10 t ha−1, and a combination of fall limestone application with spring HL application at rates of 2.5 or 5.0 t ha−1 each. The canola hybrids ‘45H31’ (susceptible) and ‘CS2000’ (moderately resistant) were included in the greenhouse experiments, while ‘45H31’ was used in the field. Significant reductions (P < 0.05) in clubroot severity relative to the UTCs were observed in all lime treatments in the field or greenhouse, except for the 5.0 t ha−1 spring limestone application at one field site in 2021 to 2022. Increases in soil pH and reductions in soil inoculum density were recorded for all lime treatments. The most consistent reductions in clubroot severity across sites and years were obtained with fall limestone or spring HL application at 10 t ha−1, or the combination of fall limestone and spring HL at 5 t ha−1 each. Applying limestone in the fall may present a viable option for managing clubroot in canola. [Formula: see text] Copyright © 2025 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .

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)0.001
metaresearch head score (Gemma)0.001
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 score0.350
Threshold uncertainty score0.704

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
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 head0.021
GPT teacher head0.241
Teacher spread0.221 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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