DKW basal salts improve micropropagation and callogenesis compared with MS basal salts in multiple commercial cultivars of <i>Cannabis sativa</i>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Existing Cannabis sativa micropropagation protocols use a limited number of cultivars and the results are often not reproducible. Currently, Murashige and Skoog basal salt mixture (MS) + 0.5 μmol/L thidiazuron (TDZ) has been reported as the optimal medium for nodal micropropagation, yet our preliminary studies with this medium have resulted in abnormal morphology and high mortality rates in multiple cultivars. Following an initial screen of basal salt mixtures [MS, B5, BABI, and Driver–Kuniyaki–Walnut (DKW)], we determined that DKW produced the healthiest plants. In a second experiment, the multiplication rate and canopy area of explants grown on MS + 0.5 μmol/L TDZ and DKW + 0.5 μmol/L TDZ were compared using five drug-type cultivars. The combined multiplication average of explants grown on DKW + 0.5 μmol/L TDZ was 1.5× higher than explants grown on MS + 0.5 μmol/L TDZ. Similarly, the combined average of the canopy area was twice as large on DKW + 0.5 μmol/L TDZ. In the third experiment, callogenesis was compared using a concentration range of 2,4-dichlorophenoxyacetic acid (0–30 μmol/L) on both MS and DKW, and similarly, callus growth was superior on DKW. This study presents the largest comparison of basal salt compositions on the micropropagation of five commercially grown Cannabis cultivars to date.
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.
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 it