Registration of ‘OLé’ Peanut
Bibliographic record
Abstract
OLé (Reg. No. CV-128, PI 674164) peanut (experimental designation ARSOK-S140-1OL) is a high-oleic spanish-type (Arachis hypogaea L. subsp. fastigiata var. vulgaris) that was cooperatively released by the USDA–ARS and the Oklahoma Agricultural Experiment Station in 2014. OLé is the product of the cross ‘Tamspan 90’ × F435. The male parent, F435, is the original donor of the high-oleic genes. Pedigree methodology was used in screening segregating populations. The advanced breeding line ARSOK-S140-1OL was identified due to its enhanced resistance to Sclerotinia blight (causal agent Sclerotinia minor Jagger) and pod rot (causal agents Pythium myriothylum and/or Rhizoctonia solani). In 6 yr of advanced breeding line performance trials across three locations in Oklahoma, OLé yielded an average of 4048 kg ha−1 and had less incidence of Sclerotinia blight in 2009 to 2011 and 2013 and less pod rot in 2009 and 2010 (P < 0.05) compared with OLin. Overall, field performance data indicate that production of OLé instead of OLin could save producers $150 to $400 ha−1 annually in disease management input costs.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 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".