Use of six annual companion crops to establish alfalfa–timothy mixtures at different seeding dates
Bibliographic record
Abstract
Abstract Oat ( Avena sativa L.) is the main species used as a companion crop when establishing perennial forages in eastern Canada, and, although other annual species are used, they have not been systematically evaluated. A field study was conducted across five environments to contrast the use of six annual species (berseem clover, Trifolium alexandrinum L.; forage peas, Pisum sativum L.; annual ryegrass, Lolium multiflorum Lamarck; oat; Japanese millet, Echinochloa esculenta [A. Braun] H. Scholz; sudangrass, Sorghum × drummondii [Nees ex. Steud.] Millsp. & Chase) as companion crops for the establishment of alfalfa ( Medicago sativa L.)‐timothy ( Phleum pratense L.) mixtures. The control treatment consisted of the perennial species seeded without companion crop. Treatments were seeded at three dates and evaluated during the seeding and post‐seeding years. The performance of the six companion crops evaluated herein varied depending on the seeding date and the environment. For a mid‐May to early June seeding total seeding year forage mass was greatest with use of oat, Japanese millet, or sudangrass as companion crops; for a mid‐June to late June seeding with Japanese millet or sudangrass; and for a late July to early August seeding with oat or Japanese millet. These species, however, reduced in some environments seeding year alfalfa or timothy mass compared to a control seeded without a companion crop. Such reduction was also observed in some environments in the first post‐seeding year. Companion crop choice to establish alfalfa–timothy mixtures needs to take into consideration seeding date and forage needs on the short term versus the long term.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".