First report of a new invasive pest fall army worm, Spodoptera frugiperda (J.E. Smith) in maize crop at Pantnagar, Uttarakhand
Bibliographic record
Abstract
Fall armyworm, Spodoptera frugiperda (J.E. Smith) is a noxious lepidopterous pest of maize crop. Northern region of India was devoid from incidences of S. frugiperda until now in 2019 it has been observed in Uttarakhand state for the first time at N.E.B. Corp Research Center, GBPUA&T Pantnagar, Udham Singh Nagar during the routine survey in the maize field. The morphological and molecular tools were used for the identification of the Pantnagar pest sample. The mtCOI gene was used as molecular marker and it was found that the Pantnagar sample sequence showed 100% similarity after BLAST with the sequence accession No. GU095403.1 (658 bp) and MH704433 (658bp) of S. frugiperda from Canada and Karnataka (India), respectively. The mtCOI consensus sequences generated for Pantnagar sample of 630 bp has been deposited in National Centre for Biotechnology Information GenBank databases as S. frugiperda sequence of Pantnagar sample. Morphological and molecular characterization of Pantnagar pest sample marked the conformity of the pest being S. frugiperda (J.E. Smith) which is reported for the first time from Uttarakhand state.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".