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Record W2922324828 · doi:10.1111/ppa.13013

Clubroot disease in Latin America: distribution and management strategies

2019· article· en· W2922324828 on OpenAlexaff
Andrea Botero, Celsa García, B. D. Gossen, Stephen E. Strelkov, Christopher D. Todd, Peta C. Bonham‐Smith, Edel Pérez‐López

Bibliographic record

VenuePlant Pathology · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Resistance and Genetics
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of SaskatchewanUniversity of Alberta
Fundersnot available
KeywordsClubrootBiologyTemperate climateLatin AmericansAgronomyBrassicaCruciferous vegetablesHorticultureBotany

Abstract

fetched live from OpenAlex

Clubroot caused by Plasmodiophora brassicae is an important disease of cruciferous crops worldwide. In Latin America (from Mexico to Chile, including the Caribbean), most of the area in cruciferous crops is devoted to oilseed rape ( Brassica napus ; c . 230 600 ha) in Brazil, Chile, Paraguay, Uruguay and Argentina, while cruciferous vegetables such as cabbage, cauliflower, broccoli and Brussels sprouts (40 900 ha) are cropped intensively on small acreages across the region. Although clubroot is present in most Latin American countries, there have been very few studies of P. brassicae . Clubroot research in Latin America has focused mainly on adapting disease management strategies developed in temperate climates to tropical climates, including liming, biological control and genetic resistance. This review summarizes the management strategies used in Latin America to reduce the impact of clubroot, including novel strategies when compared with temperate regions, such as a crop rotation with aromatic plant species and the use of biological control with Trichoderma spp. Latin America has unique characteristics relative to temperate countries such as high humidity, warm temperatures and acidic soil that impact the interaction between P. brassicae and its plant hosts, so more research is required.

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: Review · Consensus signal: Review
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.195
Teacher spread0.187 · 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
GenreReview

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

Citations53
Published2019
Admission routes1
Has abstractyes

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