Suitability of fruits of selected blackcurrant (Ribes nigrum L.) cultivars for fresh market
Bibliographic record
Abstract
The fruit quality of 10 blackcurrant genotypes of Polish origin (‘Bona’, ‘Gofert’, ‘Tines’, D13B/11 and PC-425 very recently named as ‘Tihope’) and Ukrainian (‘Chereshnieva’, ‘Yubylejnaia Kopania’, ‘Saniuta’, ‘Sofievskaia’ and ‘Vernisazh’) was evaluated in Central Poland in 2008–2010. The yield, fruit size (weight of 100 berries), the length of strigs and number of berries per strig, fruit firmness, soluble solids, content of ascorbic acids (vit. C), fruit appearance, taste and aroma as well as the shelf-life of fresh fruit in a room temperature were assessed. Results obtained in studies showed that new Polish cultivars ‘Tihope’ (PC-425) and ‘Gofert’ as well as Ukrainian cultivars ‘Jubilejnaja Kopania’ and ‘Vernisazh’ were the most productive and had the highest average fruit yield. The largest fruits produced the Polish breeding clone (D13B/11). Large fruits also had the standard cultivar ‘Bona’, cv. ‘Tihope’ (PC-425) and ‘Saniuta’. The highest number of fruit per strig was counted on Ukrainian cultivars (‘Chereshnieva’, ‘Yubylejnaia Kopania’, ‘Saniuta’) and Polish cv. ‘Gofert’. These cultivars also produced the longest strigs. The tested cultivars differed slightly in the attractiveness of the fruits. ‘Bona’ and ‘Tihope’ (PC-425) boasted the best appearance of fruits. Fruits of ‘Bona’ were found as the most flavorful. ‘Saniuta’, ‘Gofert’ and D13B/11 demonstrated only a little less taste and aroma. The best shelf-life of fruits possessed ‘Bona’, ‘Tihope’ (PC-425) and ‘Tines’. The firmest fruits were produced by ‘Chereshnieva’, ‘Tihope’ (PC-425), ‘Sofievskaia’ and ‘Gofert’. The highest content of soluble solids was found in fruit of ‘Gofert’ and ‘Tines’. The richest in vitamin C were fruits of ‘Gofert’, ‘Sofievskaia’ and ‘Tihope’ (PC-425).
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".