Suitability of Selected Seed Genotypes of Prunus armeniaca L. for Harvesting Seeds for the Production of Generative Rootstocks for Apricot Cultivars
Bibliographic record
Abstract
In 2008-2011, at the Research Institute of Horticulture in Skierniewice, Poland seven genotypes of Prunus armeniaca L., designated MN-1, MN-2, MN-4, MN-6, MN-46, MN-53 and MN-59, were evaluated for use as trees to provide seeds for the production of generative rootstocks for apricot cultivars. The study was conducted on trees growing in the Experimental Orchard in Dabrowice (central Poland). The best as seed trees proved to be genotypes MN-4 and MN-46. Their flower buds are resistant to frost, the flowers are well able to tolerate spring frosts, and the trees yield regularly and produce a lot of small fruit. Trees of these genotypes are also characterized by a relatively low growth vigour and produce seeds with a high germination capacity. The results indicate that genotypes MN-4 and MN-46 are very suitable for harvesting seeds for the production of generative rootstocks for apricot cultivars in countries located in the seasonally cold regions of the temperate climate which represent the northernmost extent of apricot cultivation.
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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 | 0.000 | 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) | 0.001 | 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".