Ecotype-correlated variations in germination and seedling growth of <i>Zataria multiflora</i>
Bibliographic record
Abstract
Zataria multiflora Boiss. is a rare aromatic species endemic to the southern and southwestern regions of Iran. It is a species that is not under cultivation anywhere else in the world and is only gathered from the wild by amateur collectors. Its cultivation and domestication is very limited. Hence, we investigated the seed germination behaviour and seedling growth of different ecotypes of Z. multiflora collected from 6 sites in Iran (Jam, Ab-garm, Layzangan, Dashte-khak, Kooh-namak, and Chehel-cheshmeh) in late spring. The experiment was carried out at College of Agriculture, Shiraz University, Shiraz, Iran, in 2012. The statistical differences among the ecotypes were determined through variance analysis (ANOVA). The results of the pot experiment showed that ecotype had a significant difference for the total germination percentage, number of leaves per plant, plant height, fresh mass, dry mass, relative water content, and antioxidant enzyme activity. Differences in growth performance were also noted in relation to the altitude of the six test populations: ecotypes at a higher altitude exhibited lower germination rates and plant height. This study is significant for land managers and conservation agencies with an interest in optimizing the germination of arid-zone seeds for rehabilitation of this threatened species.
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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 | 0.000 |
| 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".