Genomic structure and ex situ conservation of the North American grapevine <em>Vitis labrusca</em>
Bibliographic record
Abstract
Vitis labrusca, a North American wild grapevine, is an important source of disease resistance and climate resilience traits for grape breeding, yet its genomic diversity is incompletely represented in ex situ germplasm collections. We genotyped 314 accessions, which included material conserved at the USDA germplasm collection and newly sampled wild individuals. Accessions were genotyped using genotyping-by-sequencing, and after imputation and filtering, we identified a total of 44,701 SNPs. Within the accessions genotyped, we identified extensive mislabelling and hybridization, with approximately one-third of accessions classified as putative hybrids. We also detected genetically distinct populations from Virginia and North Carolina that are not currently conserved. These results reveal significant geographic and genomic gaps in ex situ conservation of V. labrusca and highlight priority regions for future sampling to better safeguard this species for breeding and research.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.013 |
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".