Registration of oat cultivar ‘Rushmore’
Bibliographic record
Abstract
Abstract More awareness from consumers on the health benefits of oat (Avena sativa L.) in the last few decades has increased the demand for oat. However, in the United States, oat production has continued to decline. Most of the oats used in U.S. food products are imported from Canada. Although oats are known to fit well in corn (Zea mays L.)–soybean [Glycine max (L.) Merr] rotations, difficulties in marketing the grain and relatively low prices in comparison to corn and soybeans have limited the number of acres planted to oats. High‐yielding oat cultivars adapted to the Northern Great Plains with high test weight and good milling characteristics are needed. ‘Rushmore’ (Reg. no. CV‐388, PI 698122) is a spring oat cultivar released by the South Dakota Agricultural Experiment Station in 2019. Rushmore was derived from the three‐way cross SD080015//SD070110/SD060130 and developed using a modified bulk and single‐seed descent method. Prior to release, Rushmore was tested in the uniform early oat performance nursery in 2016 and 2017 and in the South Dakota Crop Performance Testing oat variety trial since 2017. Rushmore was evaluated as experimental line SD140515 and evaluated for grain yield, test weight, disease resistance, lodging resistance, grain shape, milling characteristics, and grain composition. Rushmore was released to oat producers due to its combination of high grain yield, excellent test weight, lodging and disease resistance, and good milling characteristics. The excellent test weight potential of Rushmore is expected to help producers in marketing their grain to the feed and food industries.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".