Molecular characterization of Spodoptera litura Nucleopolyhedrovirus (SlNPV) Labuhan Batu isolate
Bibliographic record
Abstract
Abstract Spodoptera litura F. is a new pest that potentially becomes a serious pest threatening palm oil industry. The control can be carried out using biological control agents S.litura Nucleopolyhedrovirus (SlNPV). Molecular approach using polymerase chain reaction (PCR) has been used to characterize the SlNPV isolate. The aim of this study was to determine the molecular characteristics of SlNPV Labuhan Batu isolate based on DNA sequence analysis. The NPV isolate was collected from oil palm plantation Negeri Lama Estate Group, PT. Hari sawit Jaya, Asian Agri, Labuhan Batu. The SlNPV DNA extraction was conducted using the DNA gSYNC kit. The amplification of SlNPV DNA was done by specific primers with oligonucleotide sequences forward 5′-ACGTTACGATCTAGATCC-3′ and reverse 5′-AACGTTAGACAGACATAT-3′ with ±700bp of amplicon. Homology and phylogeny characteristics were used to determine the relationship of SlNPV isolate from Labuhan Batu to NPV from other countries were reported in the GeneBank of National Center for Biotechnology Information (NCBI). The results showed that SlNPV isolate from Labuhan Batu had the closest related to SlNPV from Australia, SliNPV from Canada and SlNPV from China, with the similarity percentage 100%, 96% and 90% respectively. They belong to the same group as the NPVs that infected the Spodoptera genus.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".