Identification of Canadian six row barley (Hordeum vulgare L.) cultivars with primers derived from STSs obtained from RAPD diagnostic bands.
Bibliographic record
Abstract
To address the general concern about reproducibility of diagnostic DNA bands obtained from RAPDs for the identification of the six row Canadian barley cultivar identification scheme, we have designed specific primers based on STSs derived from those diagnostic bands. Furthermore, we have also optimized the PCR reaction conditions of the identification primers to maximize reliability. These conditions were used to develop a computerized identification key suitable for the Canadian grain handling system. Co-migrating bands pose a problem in the conversion of RAPD diagnostics to STSs. There is a need to sample and sequence a number of clones, although the number of clones theoretically needed has not been addressed. Up to seven clones of each of the diagnostic bands were sequenced. A match of at least two sequences was considered representative of the diagnostic band. However, when two groups of sequences were found with similar size in base pairs, two STSs were established for the same diagnostic band. The majority of the STSs were found to be characteristically repetitive sequences, indicating the nature of target sequences of the RAPD primers. Future work towards higher diagnostic efficiency needed in support of the Canadian grain handling system is discussed.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| 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".