POLLEN VIABILITY AND GERMINATION CAPACITY OF SOME NEW SWEET CHERRY CULTIVARS
Bibliographic record
Abstract
was collected and investigated microscopically in laboratory for viability and germination capacity. Pollen viability was determinated by applying the colorimetric method, and germination capacity by cultivating pollen on solid medium with 1.5 g agar + 15 g sucrose + 100 ml distilled water. It was noticed that fertile pollen varied from approximately 32 % to 80 %, and the pollen germination percentages after 3 hours of incubation at temperature of 10 o C, varied between 15.53 % and 82.75 %. After 24 hours of incubation under the same temperature of 10 o C, germination capacity ranged between 23.07 % and 84.51 %. Germination capacity increased with increasing incubation temperature and period, and the highest germination was obtained at the temperature of 20 o C after 24 hours of incubation, with 90.09 % capacity of germination in case of 'Carmen' cultivar, and the lowest capacity in case of 'Canada Giant' cultivar, with 42.39 % germination capacity.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".