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Record W2159887516 · doi:10.5539/jas.v7n3p105

Study on Pathogenicity Test of Meloidogyne incognita on Different Vegetable Crops

2015· article· en· W2159887516 on OpenAlexvenueno aff
Anamika Anamika

Bibliographic record

VenueJournal of Agricultural Science · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNematode management and characterization studies
Canadian institutionsnot available
Fundersnot available
KeywordsMeloidogyne incognitaTerra incognitaBiologyCropRoot-knot nematodePopulationNematodePopulation densityAgronomyCrop lossHorticultureEcology

Abstract

fetched live from OpenAlex

The relationships between the population density of Meloidogyne incognita and damage to test crop have been investigated. Symptoms were more pronounced of damage with ageing of the crop, but indicative only at population levels above that initiated damage. The nature and extent of damage caused by root-knot nematodes, M. incognita to test crop at different inoculum levels of 500, 1000, 2000 and 3,000 larvae per plant was studied, in pot culture. The influence of four initial inoculum densities of root-knot nematode, Meloidogyne incognita and plant age on root-knot disease of test crop shows significant reduction in the plant growth parameters and increase of initial inoculum densities increase in root-knots there by increasing nematode population but this increase was inversely proportional with the nematode population which was density dependent which causes competition for nutrition among the developing nematodes within available root system and also due to inability of juveniles of subsequent generation to find infection sites.

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 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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score0.160

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.046
GPT teacher head0.253
Teacher spread0.206 · 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 teacher head, 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

Citations4
Published2015
Admission routes1
Has abstractyes

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