AN EFFICIENT PLANT REGENERATION SYSTEM VIA DIRECT ADVENTITIOUS BUD FORMATION IN CHICORY
Bibliographic record
Abstract
An efficient plant regeneration system through direct adventitious bud formation is established using leaf segments of asepsis seedlings of chicory(Cichorium intybus L.).After 5～7d of culture,adventitious buds appeared directly from explants without any intervening callus on Murashige and Skoog(MS) medium supplemented with different concentrations of N-6-benzyladenine(BA) alone or together with 0.5mg/L α-naphthaleneacetic acid(NAA).According to histological observations,adventitious buds were originated from thin wall cell of vascular bundle of the leafs,and the vascular bundle systems of adventitious buds are closely connected with that of leaf explant.6-BA was necessary for direct adventitious bud formation.The frequency and number of adventitious bud formation were strongly influenced by the development stage of explants and sucrose concentration.After 15 days culture,the 100% frequency of bud formation as well as an average of 36～38 adventitious buds per explant were obtained on MS medium supplemented with 2.0mg/L 6-BA,0.5mg/L NAA,100mg/L Vc,100mg/L V_(B1),300mg/L proline and 40 g/L sucrose using 20-day-old leaves.When transplanted and cultured for about 10d on the 1/2 MS medium added 0.5mg/L indole-3-butyric acid(IBA), 97.58% rooting frequency was obtained.Plantlets grew well and appeared normal with no mortality after transfer to soil.
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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 | 0.001 |
| 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".