Bibliographic record
Abstract
ABSTRACT Cultivated barley (Hordeum vulgare L. subsp. vulgare) is one of the economically most important cereals with a large number of germplasm accessions conserved worldwide. A core subset of 571barley accessions representing 94 countries was developed, genotyped using 30 informative simple sequence repeat (SSR) markers, and analyzed with several common approaches. The distance‐based analysis of the 230 SSR allele profile revealed a major division of the barley accessions that explained 6 to 8% SSR variation. The model‐based Bayesian analyses revealed six optimal clusters that captured 17.5% SSR variation. The clusters varied in size from 34 to 160, consisted of accessions from many countries and regions, and were well represented by accessions with various important agronomic traits such as kernel row number and growth habit. Such germplasm partitions were further supported from principal component and neighbor‐joining analyses. A mini core subset of 219 accessions from 94 countries was thus developed for future structural inferences. Interestingly, the revealed genetic structure is consistent with the known barley domestication history. Therefore, the inferred optimal clusters may provide the best possible structural description of the current global cultivated barley gene pool and also are useful for future barley research in association mapping, adaptation, and domestication.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".