Relevance of the genetic structure of natural populations, and sampling and classification approaches for conservation and use of wild crop relatives: potato as an example
Bibliographic record
Abstract
Crop wild relatives (CWRs) are wild taxa with close genetic relationships to species with direct socioeconomic importance. As essential components of natural habitats and agricultural systems, their conservation and sustainable use are vital. CWRs are ex situ conserved in germplasm banks as samples of natural populations (accessions). Most accessions have been assigned specific status according to the Taxonomic Species Concept, which presupposes that living organisms are at the end of speciation. Thus, the morphological and genetic variability that could be encountered in natural populations is disregarded, negatively affecting conservation of allelic frequencies and effective use in breeding. Passport information usually contains collection date and geographical data, but not reproductive behavior of the sampled population (which defines its genetic structure) and sampling strategies. For ex situ multiplications of original collections, no information is provided on the effectively used strategies. As information on how accessions were composed is lacking, conservation of the allelic frequencies from the originally sampled populations is unknown. Knowledge of reproductive biology of plant populations is of utmost importance to understanding their natural morphological and molecular variability and to developing appropriate methodological approaches for sampling, classifying, and ex situ multiplying to conserve gene frequencies for basic and applied purposes.
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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 | 0.000 |
| 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) | 0.000 | 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".