Yield and quality of Manitoba oats as affected by cultivar and nitrogen fertility
Bibliographic record
Abstract
Efficient nitrogen fertilizer use is a vital component to profitable crop production and sustainable agriculture in Western Canada. Oats have a reputation for being less responsive to N additions due to lodging. This may cause producers to reduce inputs resulting in oat yields below their genetic potential. A registered semi dwarf oat cultivar could lead to significant improvements in grain yield and quality at higher N levels. Comparisons of the semi dwarf versus taller cultivars are necessary to evaluate their \npotential for western Canadian production systems. Experiments were conducted in 1998/99 to define the characteristics of high yielding, high quality oat cultivars, both tall and semi dwarf, and their response to nitrogen fertility. Cultivars included AC Assiniboia, AC Medallion, Triple Crown, CDC Boyer, and OT288, an unreleased semi dwarf line. Results from the 1998 sites found N fertilizer to increase yield at two of four \nsites. OT 288 yielded consistently higher than the taller cultivars at all locations. Cultivar significantly affected grain quality parameters. An analysis of grain yield and oat milling quality for both site years will be discussed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".