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Record W2884587526 · doi:10.1163/15685411-00003198

Gibberellin reduces the susceptibility of rice, Oryza sativa, to the migratory nematode Hirschmanniella oryzae

2018· article· en· W2884587526 on OpenAlexaff
Lander Bauters, Mohammod Hossain, Kamrun Nahar, Godelieve Gheysen

Bibliographic record

VenueNematology · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNematode management and characterization studies
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsGibberellic acidBiologyOryza sativaGibberellinNematodePlant hormoneBotanyHormoneEcologyGeneGeneticsBiochemistry

Abstract

fetched live from OpenAlex

Summary Upon pathogen attack, the plant defence response is mediated by a set of connected signal transduction pathways, guided by several classes of plant hormones. In this study, experiments were conducted to observe the role of the plant hormone gibberellic acid in the response of rice to infection by the migratory root-rot nematode Hirschmanniella oryzae. Foliar treatments with gibberellic acid showed a negative effect on H. oryzae infection in the roots. Analyses of mutant rice lines impaired in the production or signalling of gibberellic acid confirmed the effect of the plant hormone on H. oryzae infection. Taken together, the results clearly indicate that gibberellic acid has a positive effect on the capability of the rice plant to fend off an infection by the migratory nematode H. oryzae.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.246
Teacher spread0.225 · 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 designBench or experimental
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

Citations7
Published2018
Admission routes1
Has abstractyes

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