The effect of seed pre-soaking, burial depth and site conditions on the survival and growth of wild almond, Amygdalus scoparia
Bibliographic record
Abstract
Wild almond (Amygdalus scoparia) is one of the most important species that provides a variety of ecological functions in the Zagros forest ecosystem. In this study, we investigated the effects of some seed treatments on the survival and growth of Amygdalus scoparia after seed planting at different aspects and elevations under natural conditions. The seed pretreatments consisted in soaking them in water at cold (10 °C) and warm (80 °C) temperatures for 24 hours. The impact of these pretreatments was evaluated on the survival rate (%), height and diameter growth of newly emerged seedlings. Based on Duncan’s test, the height of seedlings established on the north-facing aspect was significantly higher than the other aspects, while the lowest seedling height was observed in the south-facing aspect. The height of seedlings established on east- and west-facing aspects had intermediate values and were statistically similar. The tallest seedlings were observed when seeds were buried at a depth of 2 cm and seedling height tended to decrease with increasing burial depth. Seedlings established on the north-facing aspect at both elevation levels (1200 and 1800 m) were significantly taller than those found on the south-facing aspect. Overall, the use of cold water as a seed pre-treatment in conjunction with a north-facing seedling at a burial depth of 2 cm maximize the survival and the development of Amygdalus scoparia seedlings.
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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) | 0.001 | 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".