Ethylene sensitivity assay for medicinal and fiber-type <i>Cannabis</i> seedlings reveals a triple-response-like phenotype
Bibliographic record
Abstract
Abstract As evidence mounts for ethylene’s important role in sex determination, understanding ethylene signaling in Cannabis sativa L. (cannabis) has become increasingly vital. This study investigated the response of hemp-type and drug-type Cannabis sativa seedlings to ethylene, revealing a unique ‘paired response’ phenotype under dark conditions and ethephon treatment, suggesting a more specialized variation of the triple response distinct from that observed in other species. Employing a novel ethephon-based assay, this research bypassed the complexities of using gaseous ethylene, providing a more accessible method for examining ethylene responses. The results showed C. sativa seedlings exhibit marked sensitivity to ethephon at concentrations (125 mg/L, 250 mg/L, and 500 mg/L) lower than those previously reported to influence mature plants, indicating a broad ethylene responsiveness across various genetic backgrounds. Furthermore, the reversal of ethylene-induced phenotypic changes by silver thiosulfate (STS) at all concentrations tested (1, 2, and 3 mM) suggests the conservation of ethylene signaling pathways in C. sativa . Importantly these phenotypic responses were observed in both drug and hemp type cannabis. However, the absence of an exaggerated apical hook in treated seedlings potentially points to a unique regulatory mechanism in response to ethylene in achene-bearing plants. These findings, highlighted by the successful induction of ethylene-sensitive phenotypes, underscore the conserved nature of ethylene signaling in C. sativa . The results highlight the need for further investigations into the regulatory mechanisms of ethylene in cannabis, especially concerning sexual development, opening new pathways for optimized breeding and cultivation practices aimed at enhancing plant growth and reproductive strategies.
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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) | 0.002 | 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".