Physiological Study on Root Adaptation and Recovery of Tissue-Cultured <i>Anoectochilus roxburghii</i> Seedlings after Transplanting
Bibliographic record
Abstract
Anoectochilus roxburghii, a rare medicinal plant, has attracted widespread attention for its scarce resources and high cultivation difficulty.Tissue culture rapid propagation, has become the main seedling raising method, but the adaptation and recovery of the root system after transplantation remain a bottleneck.This study summarizes several regulatory mechanisms: the proportional relationship of hormones (IAA, CK, stellolactone), the accumulation of osmotic regulatory substances (proline, soluble sugar), and the activation of antioxidant systems (SOD, CAT, POD), which play an important role in alleviating transplant shock.Meanwhile, the upregulation of energy metabolism, the accumulation of secondary metabolites, and the absorption of mineral elements have been proven to be the key supports for the rejuvenation of root systems.Studies show that, a reasonable hormone ratio can shorten the recovery period of the root system.The accumulation of osmotic regulatory substances, and the enhancement of antioxidant enzyme activity, play a prominent role in the early recovery stage.In the later stage, light quality regulation and substrate improvement have shown obvious effects on the improvement of root function, and the overall adaptation of the plant.This study provides new ideas for the efficient cultivation and management of A. roxburghii, and also offers theoretical basis and guidance for its industrial promotion and resource protection.
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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".