Identification of Phenotypic Characteristics in Three Chemotype Categories in the Genus Cannabis
Bibliographic record
Abstract
Modern Cannabis cultivars are morphologically distinguished by their leaflet shapes (wide for “Indica” and narrow for “Sativa”) by users and breeders. However, there are no scientific bases or references for determining the shape of these leaflets. In addition, these two categories contained mostly THC dominant (high THC) cultivars while excluded CBD dominant (high CBD) and intermediate (intermediate level of both THC and CBD) cultivars. This study investigated the phenotypic variation in 21 Cannabis cultivars covering three chemical phenotypes, referred to as chemotypes, grown in a commercial greenhouse. Thirty morphological traits were measured in the vegetative, flowering, and harvest stages on live plants and harvested inflorescences. The collected data were subjected to correlation analysis, hierarchical clustering, principal component analysis, and canonical correlation analysis with preassigned chemotypes. Canonical correlation analysis assigned individual plants to their chemotypes with 92.9% accuracy. Significant morphological differences were identified. Traits usable as phenotype markers for CBD dominant cultivars included light-green and narrow leaflets, a greater number of primary and secondary serrations, loose inflorescences, dense and resinous trichomes, and Botrytis cinerea resistance. Traits for intermediate cultivars included deep-green and medium-wide leaflets, more primary and secondary serrations, medium compact inflorescences, trichomes that are less dense and less resinous, and Botrytis cinerea resistance. Traits for THC dominant cultivars included deep-green and wide leaflets, large and compact inflorescences, dense and resinous trichomes, and Botrytis cinerea susceptibility. The results of this study provide a comprehensive profile of morphological traits of modern Cannabis cultivars and provides the first such profile for CBD dominant and intermediate cultivars. Additionally, this study included the traits of inflorescences, which have not been compared between three chemotypes in the literature. Phenotype markers identified in this study can facilitate preliminary cultivar identification and selection on live plants before or as a supplement to chemical and genetic analysis.
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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 | 0.001 | 0.001 |
| 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".