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Record W4392375095 · doi:10.1080/07060661.2024.2316632

Characterization of <i>Athelia rolfsii</i> associated with southern blight of pointed gourd ( <i>Trichosanthes dioica</i> ) in India

2024· article· en· W4392375095 on OpenAlexvenueno aff
Sangeetha Ganesan, Priti Sonavane, Deepika Devadarshini, Ayushman Gadnayak, Supriya Sahu, Gobinda Ch Acharya

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Resistance and Genetics
Canadian institutionsnot available
Fundersnot available
KeywordsTrichosanthesBlightBiologyBotanyMedicine

Abstract

fetched live from OpenAlex

Pointed gourd (Trichosanthes dioica Roxb) is a perennial cucurbitaceous vegetable popular in the eastern and northern parts of India. In July 2018, an occurrence of southern blight disease was observed in a pointed gourd crop grown in Odisha state located in the eastern part of India. The typical symptoms included angular necrotic patches and disintegration of leaf tissues with the vein and veinlet intact, exhibiting a diagnostic netted pattern of veins. Silky white, fan-shaped mycelial growth with sclerotial bodies was observed on the lower surface of infected leaves. Eventually, the infected leaves dried up, leaving several bare patches in the field. Associated fungi were isolated, which resembled the reference strain Athelia rolfsii based on colony characteristics. Phylogenetic analysis of the internal transcribed spacer of rRNA gene region confirmed that the isolates were A. rolfsii. Pathogenicity was successfully proved on detached leaves as well as on potted pointed gourd plants. On the basis of symptoms associated with the disease, fungal morphology, molecular identification, and pathogenicity tests on host plants, the causal fungus was identified as A. rolfsii. This is the first report of southern blight disease caused by A. rolfsii on pointed gourd in India.

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 score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.006
GPT teacher head0.164
Teacher spread0.158 · 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
Published2024
Admission routes1
Has abstractyes

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