Yield and quality responses of irrigated timothy to fertilizer application in southern Alberta
Bibliographic record
Abstract
Timothy (Phleum pratense L.) hay production for export markets has expanded considerably in western Canada during the past decade. Fertilization practices for optimum yield and quality of irrigated timothy were investigated for 4 yr at two locations in southern Alberta. The efficacy of spring-broadcast urea and ammonium nitrate (AN) were similar and greater than that of controlled-release urea. The optimum N rate for dry matter yield was approximately 130 kg N ha-1 for the first cut and 110 kg N ha-1 for the second cut, depending on crop and fertilizer prices. Both green colour and brown leaf ratings increased with N rate, with optimum colour for the first cut obtained with 100 to 150 kg N ha-1. Digestibility was unaffected by N rate except when crops were very deficient in N. At the location where timothy was responsive to P fertilization, yields were similar with annual broadcast applications of 13 kg P ha-1 or one pre-seeding application of 86 kg P ha-1. Timothy yield and quality were not responsive to K fertilization, although high K removal rates may shorten the period until K deficiencies develop. High yields of timothy hay (average 11 Mg ha-1 yr-1) were consistently obtained with adequate N and P fertilization. Key words: Phleum pratense, controlled-release urea, ammonium nitrate, phosphorus, digestibility
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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 | 0.000 | 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".