Seed yield and yield components of creeping bentgrass cultivars
Bibliographic record
Abstract
Creeping bentgrass (Agrostis stolonifera L.) is a high-value turfgrass species that offers opportunities for western Canadian seed companies and producers. The objective of this study was to evaluate creeping bentgrass seed yield and the relationship between seedhead density and seed yield across a diverse range of cultivars. A series of four trials was established in Manitoba between 1992 and 1994 and included 18th Green, Cobra, Emerald, National, Penneagle, Pennlinks, Putter, Southshore, UM86-01 and UM86-02. Seed production and seedhead density were measured for 2–3 yr at each location. Additional yield component measurements included harvest index and thousand seed weight. The three cultivars developed within the region consistently showed high seed yield, seedhead density and harvest index and were numerically ranked in the top four for seed yield across all 11 location years. UM86-01 was in the highest grouping for seed yield across all harvests with yields ranging from 312 to 582 kg ha-1. Seedhead density was strongly related to seed yield (highly significant in five of six comparisons) and therefore has the potential to be a valuable indicator of relative seed yield in creeping bentgrass. These results indicate that creeping bentgrass seed yield is variable across cultivars and that seedhead density can serve as a good predictor of seed production potential across cultivars. Key words: creeping bentgrass, harvest index, seedhead density, seed yield, yield components.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 | 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 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".