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Record W7087118673 · doi:10.5539/jas.v17n11p131

Morphological and Molecular Characterization of Fungal Plant Pathogens Potentially Involved in Root Necrosis Disease of Cassava in the West of the Democratic Republic of Congo

2025· article· en· W7087118673 on OpenAlexvenueno aff

Bibliographic record

VenueJournal of Agricultural Science · 2025
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsnot available
FundersUniversité de Liège
KeywordsNecrosisRoot rotFusarium solaniFungusPathogenDiseaseCongo red

Abstract

fetched live from OpenAlex

Cassava root necrosis disease, a serious disease threatening cassava crops, was first reported in Kinshasa and Kongo Central in the Democratic Republic of Congo in 2003. Initial attempts to identify viral pathogens failed, revealing instead a complex of fungal and bacterial pathogens. The etiology of Cassava Root Necrosis Disease remains unclear, as no single pathogen has been identified as the primary cause. The objective of this study was to characterize the fungal microorganisms potentially involved in cassava root necrosis disease. Morphological and molecular analyses identified 18 isolates as belonging to the species Fusarium solani and 2 to the species Trichoderma sp., while two isolates remained uncharacterized. These results contribute to the understanding of the complex etiology of cassava root rot.

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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.241
Teacher spread0.230 · 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 routes1
Has abstractyes

Explore more

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