Effect of row spacing and seeding rate on forage yield and quality of perennial cereal rye (<i>Secale cereale</i> L.)
Bibliographic record
Abstract
Perennial cereal rye (PC rye) is being developed at Lethbridge Research Centre as a new forage crop. The first Canadian cultivar of this crop (ACE-1), tested as LRC 96-1, will have the distinction of being the first North American cultivar of PC rye and the only perennial cereal crop specifically developed for forage production. PC rye was originally developed in Germany by crossing rye (Secale cereale L.) with a perennial wild rye (Secale montanum L.) and then backcrossing the F1 with Secale cereale L. while selecting for a perennial nature. In field trials, ACE-1 PC rye has produced economically viable biomass yields for 3 yr under southern Alberta growing conditions. It has similar yield and quality to barley, which is grown extensively for silage in the Canadian prairies. For proper land management and adequate forage production, ACE-1 PC rye should be seeded from mid-September to mid-October in narrow (17.5 cm) rows at a seeding rate of 80 kg ha-1. When harvested at the soft dough stage for silage it contained less crude protein (CP) and more fibre than barley; however, in vitro gas production indicates that its dry matter (DM) digestibility will be similar to that of barley. PC rye is a valuable forage crop, but it needs to be harvested earlier than the soft dough stage to obtain comparable silage quality to barley. Key words: Acid detergent fibre, crude protein, digestibility, neutral detergent fibre, perennial cereal rye, forage yield, seed yield
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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 | 0.000 | 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".