Herbage productivity and nutritive value of nine grasses in the Peace River region of northwestern Canada
Bibliographic record
Abstract
Seasonal production profiles are fundamental to the effective utilisation of herbage crops. In the Peace River region of north-western Canada, the seasonal productivity and nutritive value of the primary growth of nine grasses was assessed under conditions of potentially non-limiting N fertiliser (150 kg N ha-1). Yield, digestibility and N concentration of dry matter (DM) were determined for herbage harvested at six dates during primary growth (late-May to mid-August at 2-wk intervals), and regressed on time in the growing season. Herbage DM yield increased exponentially throughout primary growth for each grass although the nature of the relationship differed among the grasses, both with respect to the maximum yield and the amount of early-season production; maximum yields ranged from 3.61 t ha-1 for reed canary to 6.31 t ha-1 for intermediate wheat. The early-season productivity of meadow foxtail and crested wheat was particularly evident, with DM yields in excess of 1 t ha-1 by 24 May compared to less than 0.32 t ha-1 for the other seven grasses. Reed canary and meadow foxtail had high N concentrations, meadow brome and three wheatgrasses had low N concentrations, and smooth brome, timothy and creeping red fescue had intermediate N concentrations. Herbage digestibility during the primary growth could be characterised by a single response curve for the nine grasses; digestibility decreased exponentially during the vegetative to head-emergence stage of growth at an average rate of 4.1 g kg-1 DM d-1, from 830 g kg-1 DM in late-May to 616 g kg-1 DM in mid-July. Herbage N concentration and digestibility were related linearly for each of the nine grasses. Key words: Grasses, herbage, yield, nutritive value, primary growth
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| 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".