Placement, timing and source of nitrogen fertilizer on yield of irrigated Russet Burbank Potato in Manitoba
Bibliographic record
Abstract
Efficacious timing and rate of synthetic fertilizer nitrogen (N) application can reduce the amount of N needed to be applied for potato production. The purpose of this study was to compare combinations of source, timing, and application methods of different synthetic N fertilizers on yield and quality of irrigated Russet Burbank, processing potato in Manitoba. Source, timing, and application method combinations were examined to provide a range of N availability over the growing season. This study was conducted at two sites over two years. Split applications of granular urea or Super-U, addition of ESN at planting and split application of granular urea at planting and fertigation were the most consistent treatments for highest marketable yield and nitrogen use efficiency. ESN was advantageous in wet site conditions. The results indicate split application of granular urea and split granular urea and fertigation that growers of processing irrigated potato primarily use in Manitoba are sound management practices.
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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".