A Set of New Simple Sequence Repeat and Avenin DNA Markers Suitable for Mapping and Fingerprinting Studies in Oat (<i>Avena</i> spp.)
Bibliographic record
Abstract
This study was conducted to develop and test new markers for use in molecular characterization of oat ( Avena spp.). Results are presented for two polymerase chain reaction (PCR)‐based markers targeting multiple avenin protein loci and 16 new microsatellite or simple sequence repeat (SSR) markers. The markers were mapped in two segregating oat ( Avena sativa L.) populations, ‘Kanota’ × ‘Ogle’ (K×O) and ‘Terra’ × ‘Marion’ (T×M), and were also tested across a diversity panel consisting of 35 cultivated varieties of oat and representatives of five other Avena species. All markers were robust, multiallelic, and highly polymorphic. The SSR markers, some highlighting multiple loci, mapped throughout the genome, and the avenin markers mapped to their expected locations in K×O and T×M. Also as expected, the avenin markers were shown to be linked to the stem rust resistance gene Pg9 in the population ‘OT328’ × ‘Dumont’ (OT×Du). Practical applications in variety identification and germplasm diagnostic assays were explored. The markers were able to distinguish closely related lines for fingerprinting purposes and were also useful for determining whether variation within a line was the result of residual heterozygosity or contamination. In addition, the markers were found to be useful for forensic purposes and for determining whether crossing and backcrossing had been successful.
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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 | 0.001 | 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 | 0.001 |
| 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".