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Record W4312177016 · doi:10.3126/arj.v3i01.50483

Evaluation of Rice Genotypes Resistance to Yellow Stem Borer, Scirpophaga incertulas (Walker) through Sex Pheromone Trap

2022· article· en· W4312177016 on OpenAlex
Sushil Nyaupane

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAmrit Research Journal · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Research and Practices
Canadian institutionsWestern University
Fundersnot available
KeywordsBiologyKharif cropPanicleRandomized block designPEST analysisCultivarHorticultureAgronomyCrop

Abstract

fetched live from OpenAlex

Yellow stem borer, Scirpophaga incertulas (Walker) is monophagous insect pest causing serious damage to rice growers of plain regions of Nepal. This study was done to evaluate the host preference of yellow stem borer to the various genotypes of rice. The research design employed was Randomized Complete Block Design (RCBD) with seven treatments and three replications and done in kharif season of 2021. Rice varieties selected were Sabitri, Sarju 52, US 312, Radha 4, Sawa Mansuli, Silki and Hardinath 3, which are popularly cultivated in Kailali. Sex pheromone trap (scirpolure) was installed to monitor the preference of yellow stem borer for various rice varieties, especially at the panicle initiation stage of rice. Statistical analysis of four weeks data of adult male moths trapped on different cultivars of rice revealed that the yellow stem borer adult moths were highly attracted to the US 312 and less attracted to Sarju 52 and Silki varieties. This research implied that the adoption of popular rice variety Sarju 52 could safeguard the farmers from the notorious pest i.e. yellow stem borer of rice.

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)0.016
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.217
GPT teacher head0.403
Teacher spread0.186 · 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