Appropriate Condition for Cluster Buds Induction of <i>Cremastra appendiculata</i>
Bibliographic record
Abstract
To screen for suitable conditions for cluster bud induction of Cremastra appendiculata . The aseptic germination protocorms of C. appendiculata seeds were used as explant materials to explore the effects of different basic media, types of plant growth regulators, anti-browning agents and their concentrations on the induction of cluster buds of C. appendiculata . The results showed that: 1/4MS medium was the suitable basic medium for cluster buds growing; when the concentration of plant growth regulator TDZ was 2.0 mg/L and the concentration of IAA was 0.2 mg/L, the induction rates of cluster bud were higher which are 72.58% and 55.63% respectively; when the anti-browning agent was PVP and its concentration is 2 000 mg/L, the induction rate of cluster buds was higher which is 79.90%. The suitable conditions for C. appendiculata cluster buds induction are: 1/4MS + TDZ 2.0 mg/L+ IAA 0.1 mg/L+ PVP 2 000 mg/L, and the induction rate can reach 81.16%. This provided a basis for establishing a rapid propagation technology system of C. appendiculata and realizing its large-scale artificial cultivation.
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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) | 0.000 | 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 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".