THE YIELD OF A 11 YEARS OLD SASKATOON BERRY (AMELANCHIER ALNIFOLIA NUTT.) CULTURE FROM ARAD COUNTY, WESTERN ROMANIA
Bibliographic record
Abstract
Recently, in Romania special attention was given to the culture of Saskatoon berry (Amelanchier alnifolia Nutt.), a species originating from North America, whose berries are very appreciated both for their nutritional and medicinal values. The aim of this study was to highlight the yield of a culture installed in Bărzani Farm, Arad county, Romania.. The plants were produced in 2012 from seeds originating from Alberta (Canada). In the first two growing seasons the plants were kept into a nursery and specific treatments were applied. In Autumn 2013, the plants were transferred to two experimental plots, with a total area of 0.74 hectares, and a 3 m x 1 m planting scheme was adopted (i.e. 3 meters between the rows and 1 meter between the plants in the same row). Starting with 2018 different fertilizers were applied and soil analysis were performed. In most of the cases as regards the main micro- and macro-elements from the soil increasing trends were recorded thanks to the applied fertilizers. As regards the harvested quantities in the last five growing seasons, they grew from 1,250 kg (in 2018) to 6,800 kg (in 2022), meaning that, on average, each plant produced from 0.5 kg (in 2018) up to 2.7 kg (in 2022). The results recorded in the two experimental plots from Bărzani Farmrepresent an important step in the breeding program of his species in Romania.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".