EVALUATION OF SWEET CHERRY CULTIVARS RECENTLY INTRODUCED INTO BULGARIA COMPARED WITH TWO BULGARIAN CULTIVARS
Bibliographic record
Abstract
From 1 998 t o 2 00 3, e ight s weet c herry v arieties w ere e valuated i n t erms o f vigor, productivity and fruit weight. The varieties tested were: ‘Celeste’, ‘Vanspur’, ‘Lapins’, ‘Kordia’, ‘Regina’, 13S2717, ‘Bigarreau Burlat’ and ‘Van’. ‘Celeste’, ‘Vanspur’, ‘Lapins’, ‘Kordia’ and ‘Regina’ are recently introduced foreign cultivars. 13S2717 is a hybrid developed at the Summerland Experimental Station in Canada. ‘Bigarreau Burlat’ and ‘Van’ are cultivars commonly grown in Bulgaria. Six o r s even t re es o f e ach v arie ty, g rafted o n P 1 ( Prunus mahaleb seedling) rootstock, were planted 4.5 x 6.0 meters apart. Each tree was trained with a central leader and a freegrowing crown. Gravity irrigation was employed. Growth in ‘Kordia’ and ‘Regina’ was vigorous, and growth in the other varieties was moderate or moderatetovigorous. The most precocious variety was ‘Vanspur’. The m ost p roduct ive v ariety w as ‘Van’ , f ollowed b y ‘Vanspur’ , 1 3S2717, ‘Kordia’, ‘Lapins’, ‘Celeste’, ‘Bigarreau Burlat’ and ‘Regina’. ‘Regina’ blossomed very late. In 2003, ‘Regina’ blossomed very rapidly under adverse weather conditions. The air temperature was over 25°C, which reduced blossom and fruit set. The varieties with the largest fruits were ‘Regina’ and ‘Celeste’. The variety most susceptible to fruit skin cracking was 13S2717.
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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 | 0.000 |
| 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 | 0.000 |
| 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".