Effect of Cryopreservation Method Supported With Biochemical Analyses in the Axillary Bud of Jewel Orchid, Ludisia Discolor
Bibliographic record
Abstract
Abstract This study was conducted to investigate the potential of conserving an endangered terrestrial jewel orchid Ludisia discolor using in vitro grown axillary buds. Excised segments of axillary buds (4 - 5 mm in length) were precultured on a modified Murashige and Skoog (MS) medium supplemented with 0.2 M sucrose for 24 h and osmoprotected in a loading solution for 20 min. Then, axillary buds were dehydrated in PVS2 solution for 10 min at 0°C and incubated in liquid nitrogen for 1 h. Subsequently, axillary buds were rewarmed rapidly by dilution solution and transferred to a growth recovery medium supplemented with 0.05 µM melatonin under in vitro conditions that led to an improved survival chance (16.67%) for cryopreserved L. discolor. The abiotic stresses and the overproduction of reactive oxygen species (ROS) during cryopreservation stages may contribute to cryoinjuries and poor survival. The varied response towards stress was detected with significantly increased values recorded at certain cryopreservation stages, including proline activity at the dehydration stage (5.51 µmol/g), catalase at the preculture (85.64 U/g) and dehydration (70.87 U/g) stages, peroxidase at the rewarming stage (565.37 U/g) and ascorbate peroxidase during the loading stage (12.19 U/g). Hence, this first attempt to cryopreserved L. discolor indicates that future experimental designs could include exogenous antioxidants and different vitrification solutions to improve survival and regeneration.
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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 | 0.000 |
| 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".