Old Cultivars and Populations From Traditional Pepper-Growing Regions of Serbia as Breeding Potential
Bibliographic record
Abstract
In order to collect and preserve the pepper gene fond (Capsicum annuum L.) material was collected in locations in South Serbia and Central Kosovo with long tradition of growing old pepper varieties. The area around the town of Aleksinac (villages Moravac, Pr?ilovac, Nozrina and Luzane) has a long tradition of growing old varieties and populations of pepper. The Zabarka and Cokotanka varieties are typical representatives hereof, and have been included in this study. From the area near the town of Leskovac (village Donja Lakosnica) we included the variety Lakosnicka. This variety is very much grown here and is intended for grinding. In Central Kosovo, material was gathered in Laplje selo and Preoce, and the varieties collected were Rosajka and Bobinka crvena. These varieties have very specific colour, shape, size, aroma, intensity of heat and mode of usage. The different varieties will be stored in the Serbia Gene Bank and become valuable material in the selection and breeding of pepper in programs for obtaining varieties suitable for drying. The characteristics of the plants and fruits were studied and according to these traits grouping was done. Correlation of genotypes and traits was done by PCA (Principal Component Analysis). PCA grouped genotypes according to their traits (morphological and chemical) in two groups each. Genotypes grouped in this way represent the basic material for program of breeding pepper varieties suitable for drying. The selected varieties on the basis of superiority of characteristics can be proved a valuable material for any pepper breeding of Serbia which can be recommended for commercial 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 | 0.001 | 0.001 |
| 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) | 0.002 | 0.001 |
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".