EVALUATION OF CIDER APPLE CULTIVARS GROWN IN FRUIT GROWING ECOSYSTEM MĂRĂCINENI
Bibliographic record
Abstract
Cider apple fruit growing is a special branch of horticulture considering that the varieties for cider are different from other apple varieties by the fruit chemical composition (high polyphenol content), and also by the specific agronomic characters (type of growth, vigor, alternate fruit bearing). Nowadays, at Research Institute for Fruit Growing Pitesti, Romania researches are carried out, in order to identify some cider varieties adapted to the pedoclimatic conditions, varieties that can be extended in commercial plantations. This paper presents the results registered during 2020-2022 regarding vigor, precocity, fruit attributes and behavior of specific disease (scab, powdery mildew, fire blight) for 22 cultivars, with different origin ('Marie Ménard', 'DouceMoën', 'Kermerrien', 'Juliana', 'Judor', 'Jurella', 'Judeline', 'Judaine' from France; 'Dabinett', 'Ellis Bitter', 'Harry Masters Jersey', 'Major' from England; 'Cortland', 'Golden Russet', 'Grimes Golden', 'Gravestein Rouge', 'Norther Spy', 'Liberty' and 'Virginia Crab' from USA; 'Mc Intosh', 'Red Mc Intosh' and 'Geneva' from Canada )grafted on two rootstocks (MM106 and M9). In the first three years after planting, 'Judeline', 'DouceMoȅn' and 'Golden Russet' cvs.grafted on M9, show a low vigor. The total solid soluble content ranged between 12.6% at 'Harry Masters Jersey' cv. and 18.9% at 'Judaine' cv. The highest value of fruit firmness was recorded at 'Judaine' cv. (8.21kgf/cm2), 'Virginia Crab' (7.98 kgf/cm2), 'Jurella' (7.97 kgf/cm2), and 'Dabinett' (7.84kgf/cm2), and the lowest value was recorded for 'Cortland' cv. (6.12kgf/cm2) and 'Judor' (6.55 kgf/cm2). 'NortherSpy' cv. show a high sensitivity to apple scab, 'Cortland', 'Grimes Golden' and 'Liberty' cvs. to powdery mildew, 'Harry Master Jersey' and 'Dabinett' cvs. to fire blight.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".