Sanitary selection of sour cherry cv. Marasca (Prunus cerasus cv. Marasca) in Croatian largest plantation “Vlačine”
Bibliographic record
Abstract
Sour cherry cv. Marasca is considered a native Croatian variety with the best fruit quality in the Northern Dalmatia region. The current production is not sufficient to cover the demand, therefore new orchards should be established with pathogen-tested planting material. To select virus- and bacteria-free mother trees, a survey was conducted in the largest Croatian Marasca plantation "Vlačine". ELISA on 205 trees (51 elite, 103 average, 51 below average) confirmed the presence of prunus necrotic ringspot virus (PNRSV) on 101 trees (49.3%); petunia asteroid mosaic virus (PeAMV) and prune dwarf virus (PDV) on 10 trees each (4.9%); raspberry ringspot virus (RpRSV) on 7 trees (3.4%); cherry leafroll virus (CLRV), arabis mosaic virus (ArMV) and plum pox virus (PPV) on 3 trees each (1.5%); and apple mosaic virus (ApMV) on 1 tree (0.5%). For PNRSV, significant ELISA detection sensitivity was found, with twigs in dormant period as more reliable virus source compared to leaves during the growing season. In addition, six trees were positive on little cherry virus 2 (LChV-2) by RT-PCR. Along with very frequent latent infections, following symptoms were observed during pre-harvest period: yellow spots on leaves (ApMV); yellowing, stunted growth, leafless twigs with leaves only at the tip (PDV), bark splitting (PeAMV), reduced leaf size (RpRSV), chlorotic/necrotic ring spots (PNRSV), and uneven fruit ripening (LChV-2). Eleven trees were free of all viruses and bacteria defined by EPPO cherry certification scheme, including PPV. The selected virus- and bacteria-free elite trees represent a valuable genetic source for propagation and further clonal selection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".