Rapid verification of wheat<i>Hordeum</i> introgressions by direct staining of SCAR, STS, and SSR amplicons
Bibliographic record
Abstract
A range of single tagged site (STS), simple sequence repeat (SSR), and sequence-characterized amplified region (SCAR) markers were screened for their utility in detecting Hordeum vulgare and H. chilense chromosomes in a wheat background. PCR conditions were optimized for specific amplification of the targeted sequences and to avoid cross-species amplification. Two H. vulgare derived STSs, six H. vulgare derived SSRs, and nine H. chilense derived SCARs were usable for the detection of five H. vulgare and three H. chilense chromosomes by direct ethidium bromide staining of the PCR products in test tubes, avoiding the more costly and time-consuming DNA electrophoresis step. The practical application of the method is illustrated by the identification of a monotelosomic substitution of H. vulgare chromosome 6HS in tritordeum and a monosomic addition of H. chilense chromosome 6Hch in durum wheat.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".