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Record W4399608300 · doi:10.17311/tas.2024.100.106

Histopathology of Root-Knot Nematode (Meloidogyne incognita) Infection on Two African Indigenous Vegetables

2024· article· en· W4399608300 on OpenAlexfundno aff
Leonard Uzoma Amulu, Durdoluwa Joseph Oyedele, O. K. Adekunle

Bibliographic record

VenueTrends in Agricultural Sciences · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNematode management and characterization studies
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsMeloidogyne incognitaHistopathologyRoot-knot nematodeNematodeBiologyTerra incognitaIndigenousVeterinary medicinePathologyMedicineEcology

Abstract

fetched live from OpenAlex

Background and Objective: The root-knot nematodes are cosmopolitan pests attacking almost all cultivated crops including African vegetables.Two screen house studies were conducted in 2016 to investigate the histopathology of Meloidogyne incognita on Solanum macrocarpon and Amaranthus cruentus.Materials and Methods: The roots of 40 seedlings of Solanum macrocarpon were inoculated with 1,000 eggs of Meloidogyne incognita; the remaining 40 seedlings served as controls.Ten inoculated and 10 uninoculated seedlings were uprooted at seven days intervals.The study was repeated once.The roots were processed and sectioned.The sections were stained and examined under a compound microscope to determine giant cell formation.The establishment of Amaranthus cruentus trial followed a similar pattern to that of Solanum macrocarpon.Results: The Solanum macrocarpon and Amaranthus cruentus are susceptible to Meloidogyne incognita.This was evidenced by the formation of giant cells in the root tissues of the two vegetables.Conclusion: Solanum macrocarpon and Amaranthus cruentus are susceptible to Meloidogyne incognita.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.840
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
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 head0.030
GPT teacher head0.279
Teacher spread0.250 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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