APPILCATION OF PHOSPHATE FERTILIZER AND HARVEST MANAGEMENT FOR IMPORTANT FENUGREEK (TRIGONELLA FOENUM-GRAECUM L.) SEED AND FORAGE YIELD IN A DARK BROWN SOIL ZONE OF CANADA
Bibliographic record
Abstract
ABSTRACT Fenugreek (Trigonella foenum-graecum L.) is an annual legume crop. Recently a new forage cultivar, Tristar, was released for use by western Canada producers. Experiments were conducted to determine appropriate cultural practices for maximizing forage and seed production in this crop. Annual variation in climate and soil moisture conditions significantly affected forage and seed yield of fenugreek. Application of phosphate fertilizer (@ 0, 30, 40, 50 and 60 kg/ha) also had a significant effect on forage and seed yield. For seed yield 40 to 50 kg/ha of phosphate application was effective while high forage yield was obtained when 50 to 60 kg/ha of phosphate was applied. Combining seed after swathing yielded significantly more seed in Tristar fenugreek than direct combining (p <0.001). These experiments indicate that the uses of appropriate agronomic practices are necessary to maximize forage and seed production of this new crop cultivar in dark brown soil zones of the Canadian prairies.
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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 | 0.000 | 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".