Isolation and Identification of Antagonistic Bacteria Against Postharvest Blue Mold Decay of Apple and Its Mutation by Low Energy N~+ Implantation
Bibliographic record
Abstract
Taking an antagonistic strain BA-16 which could inhibit Penicillium expansumisolated from apple surface as metarial,phenotypic,physiological,biochemical and phylogenetic(16SrRNA)charactors were studied.The strain BA-16 was identified as Bacillus amyloliquefaciens.In order to enhance its antagonistic capability,the mutation of BA-16 was carried out by using low energy N+implantation.After the mutation,the mutant BA-16-8,which showed the strongest antagonist capability and stable hereditary stability was selected out.Aiming at estimating the increasing biological control effects of apple blue mold decay by mutant BA-16-8,the inhibition effects of bacterial broth and cell-free fermentation broth of mutant and wild-type strain were studied by biological control trial on fruit.The results showed that comparing with its wild type,the mutant displayed significantly higher effect on controlling apple blue mold disease.Therefore,the mutant BA-16-8will be a potential biological control agent against apple blue mold decay.
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 | 0.000 | 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 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".