Performance of short-lived perennial grasses grown with and without alfalfa at a semiarid location in southern Saskatchewan
Bibliographic record
Abstract
Tyically, crop rotations in the semiarid region of the Canadian prairies do not include perennial forages because forage termination produces negative effects on subsequent annual crops. Three short-lived perennial grass species, Dahurian wildrye grass (Elymus dahuricus Turcz. Ex Griseb), intermediate wheatgrass [Elytrigia intermedia (Host) Nevski] and slender wheatgrass (Elymus trachycaulus (Link) Gould ex Shinners), were compared for their forage productivity and persistence as short duration (3 yr) forage stands, either in a mixture with alfalfa (Medicago sativa L.) or in monoculture, in three trials at Swift Current, Saskatchewan. Intermediate wheatgrass produced 29 and 22% more forage and was more persistent than Dahurian wildrye or slender wheatgrass, respectively. In alfalfa mixtures, however, the grasses produced similar forage yield in two of three trials. Intermediate wheatgrass was more persistent in mixtures but yield compensation by alfalfa grown with Dahurian wildrye and slender wheatgrass produced similar total forage yield as these grass stands thinned during the third year of each trial. Intermediate wheatgrass and alfalfa mixtures could be utilized for short rotation forage stands in high-input crop sequences where stand termination is achieved with herbicides. Dahurian wildrye and alfalfa mixture has the best potential for short-rotation forages in organic crop systems of this region because it would require less tillage to terminate the stand. Key words: Crop rotation, forage 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 | 0.000 |
| 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 | 0.001 |
| 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".