Response of irrigated corn silage to seeding rate and row spacing in southern Alberta
Bibliographic record
Abstract
A field study was conducted to determine if high seeding rates were economically beneficial for irrigated corn silage production in southern Alberta. On average, 84% of seeds produced a plant, with 12% higher plant establishment in narrow (38 cm) than wide (76 cm) rows. Row spacing did not significantly affect yield, but maximum profitability was attained with a lower seeding rate for narrow rows. Whole-plant dry matter yields and net income were increased by 13% when seeding rates were increased from 64 000 to 74 000 seeds ha -1 , but were not significantly affected by seeding rates from 74 000 to 114 000 seeds ha -1 . The ideal seeding rate within this range may vary due to site specific conditions. Forage quality was unaffected by seeding rate. Key words: Corn, Zea mays L., irrigated silage production, quality, plant population, row spacing
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".