Improvement of Oat as a Winter Forage Crop in the Southern United States
Bibliographic record
Abstract
ABSTRACT Oat ( Avena sativa L.) is a cool season annual grass species produced for grain and forage in many countries. The majority of oat cultivars in the United States are spring types grown primarily for grain production. However, in the southern region of the United States, much of the oat production consists of winter types that are grown for grain or animal forage, and in some cases as a dual‐purpose crop. As with other small grain crops used for forage production, the improvement of grazing tolerance, forage yield, and forage quality have not been major goals in U.S. oat breeding programs even though oat forage is a rich source of protein, vitamin B 1 , phosphorus, iron, and other minerals. However, breeding and research efforts for oat have recently been revitalized because of increased awareness of the positive health benefits associated with oat consumed as a whole grain food. Strengthening the molecular approaches for forage oat breeding in the southern United States could have a large impact on cattle production systems and could increase the production area planted to oat. Although many of the molecular tools developed for the improvement of grain production could be applicable to winter forage oat breeding, the tools are currently an untapped resource within the forage breeding community. The objectives of this manuscript are to examine the production of forage oat, the current state of forage oat breeding, and how molecular tools could aid and strengthen the development of improved forage oat cultivars.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".