Management Requirements for Dryland Creeping Bentgrass Seed Production
Bibliographic record
Abstract
An extensive research project was initiated in 1992 to develop a dryland seed production system for creeping bentgrass (Agrostis stolonifera L.) in western Canada. Two objectives involved determining the appropriate renovation method and spring nitrogen timing and rate to maximize seed yield. Renovation experiments included scalping, mowing, aeration, tillage, burning and chemical and mechanical gapping and spring N fertilization experiments included at 0, 50, 100, and 150 kg N ha-1 at two dates. Scalping (removal of stubble and growth to 1.25 cm) showed the greatest potential to maintain seed yields. Timing of renovation was also important with early (after harvest) treatments superior as they allowed an adequate regrowth period prior to winter. Spring nitrogen applications of greater than 50 kg ha-1 did not show increased seed yields. Dryland seed production is possible in the higher rainfall areas of western Canada with yields ranging from 50 to 500 kg ha-1, but attention to recommended management practices is essential given the short growing season.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".