DNA Fingerprinting of Seeded Bermudagrass Cultivars
Why this work is in the frame
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Bibliographic record
Abstract
Bermudagrasses ( Cynodon spp.) are important for turf and forage in temperate and tropical climates, with cultivars historically propagated clonally. Over the past two decades the number of seed‐propagated commercial cultivars has dramatically increased, but information is lacking on the extent of the genetic diversity among these new cultivars. Accordingly, this research was undertaken to assess the genetic relatedness of 17 seed‐propagated turf‐bermudagrass cultivars using DNA amplification fingerprinting (DAF). Four DAF and four Minihairpin‐DAF (MHP‐DAF) primers were used in this study. The DAF and MHP‐DAF primers amplified 90 and 131 amplicons, respectively. A total of 13 out of the 17 cultivars were practically indistinguishable using the DAF primers with an average similarity [similarity coefficient (SC)] of 0.982 while the MHP‐DAF primers distinguished all cultivars readily. Results from the DAF and MHP‐DAF analysis indicated that 14 out of the 17 cultivars were related to Arizona common germplasm with average SC of 0.833 in the MHP‐DAF analysis. Arizona common germplasm is naturalized to the Colorado River Valley production areas of Arizona and California. The three most distinct cultivars—‘Princess 77’, ‘Yukon’, and ‘SWI‐11’—had an average SC of 0.668. The most distinct cultivar was Yukon with an average SC of 0.604. Yukon showed 59 DNA signatures not observed in the other cultivars studied with DAF and MHP‐DAF. These results indicated that a majority of seeded‐type bermudagrasses developed over the past two decades depend on a narrow genetic base and that several recent cultivars are markedly genetically distinct, indicating a recent and significant broadening of the germplasm.
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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 | 0.001 |
| 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) | 0.001 | 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 it