Проучване на някои растежни параметри при черешови сортове в района на град Пловдив
Bibliographic record
Abstract
The study was conducted in an experimental orchard on the territory of the Fruit Growing Institute - Plovdiv. Some growth characteristics were monitored in eight sweet cherry cultivars: Lapins, Canada Giant, Ferrovia, Regina, Kordia, Skeena, Samba, and Van. The investigated parameters were: height (m) and volume (m3) of the tree canopy, trunk cross-sectional area (TCSA, cm2), length of one-year shoot (cm), length (cm), number of may bouquets and number of fruit buds on two- and three-year-old branches. In terms of the volume of the canopy, the largest values were found in the Kordia (16.9 m3) and Van (16.3 m3) cultivars, while the Skeena cultivar stood out with the smallest volume - 6.3 m3. Trunk cross-sectional area (TCSA) was the largest in the Van cultivar with 316.1 cm2, followed by the Lapins cultivar - 295.9 cm2, and the lowest TCSA value was the Skeena cultivar (178.0 cm2). The average length of the one-year shoot varies from 26.8 cm (Ferrovia) to 49.6 cm (Lapins), of the two-year-old branch - from 15.5 cm (Regina) to 32.2 cm (Lapins), and of the three-year-old branch - from 17.9 cm in the Canada Giant cultivar to 32.3 cm at Skeena cultivar. A greater number of may bouquets and fruit buds (except for the Regina cultivar) on the two-year-old branch was found in all studied cultivars. In both types of branches, the lowest values in terms of the number of may bouquets and fruit buds were recorded in the Kordia cultivar and the highest in the Van cultivar.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".