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Record W2148420498 · doi:10.5539/ijb.v3n4p47

Response of Melon Cultivars to Natural Infection by Diseases in South Western Nigeria

2011· article· en· W2148420498 on OpenAlex
I. A. Kehinde

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Biology · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsCultivarDowny mildewMelonFusarium wiltBiologyIncidence (geometry)BlightCropAgronomyHorticultureVeterinary medicineFusarium oxysporumMedicineMathematics

Abstract

fetched live from OpenAlex

Melon is an important crop in South western, Nigeria. The study evaluated incidence and severity of Anthracnose, mildews, wilt, leaf spot and blight disease of melon cultivars: Serewe, Bara A, Bara B in cultivated plots in South Western Nigeria. Experiment was set in a randomized complete block design with five replicates in the Teaching and Research field of the University of Ibadan, Nigeria. Disease incidence and severity was varied among the melon cultivars. Predominant foliar diseases were Anthracnose and leaf blight with maximum disease incidence index of 82.0–100% across the cultivars. Disease incidence and severity indices for all diseases were high during the early season (27.0-100%) and low during the dry season (19.0-65.0%) except for the downy mildew disease. Fusarium wilt disease incidence was significantly lower than all other diseases encountered. Cultivars were not consistent in their reaction to the diseases and these also varied with the years. The study has given information on the predominant diseases for which control management technology should be developed.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.349
Threshold uncertainty score0.123

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.020
GPT teacher head0.269
Teacher spread0.249 · 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