Effects of Bedding Preparations on Potato Yield and Greenhouse Gas Emissions in Southern Alberta, Canada
Bibliographic record
Abstract
Fall bedding, a prevalent practice for potato (Solanum tuberosum) production in southern Alberta, entails fall-season soil preparations including irrigation, fertilization, plowing, and bed formation. This approach, while economically advantageous - owing to reduced labor and fertilizer costs and a decrease in other necessary preparations during fall - raises environmental concerns. Specifically, the lag between fertilizer application and crop nutrient uptake may lead to elevated emissions of carbon dioxide (CO₂) and nitrous oxide (N₂O), potent greenhouse gases.To investigate these potential environmental impacts and assess potato yield outcomes, a field study was conducted in Lethbridge, Alberta. This experiment utilized 36 plots with different combinations of bedding approaches (fall bedding, spring bedding, and spring bedding following a winter cover crop), two irrigation levels (80% and 120% of AIMM recommended rates), and both fertilized and unfertilized conditions. Each combination was replicated three times.Findings show that N₂O emissions are strongly influenced by fertilizer application (P < 0.005), the timing of bedding (P < 0.05) and field position (hill or furrow) (P < 0.05), with the highest emissions observed in fall-bedded plots under high irrigation and fertilization. In contrast, CO₂ emissions were less variable, although highly significant differences were observed primarily between hill and furrow positions (P < 0.0005). Furthermore, variations in bedding practices and fertilization both significantly affected tuber yields (P < 0.05), underscoring the need to balance production practices with environmental considerations in potato cultivation.
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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 | 0.000 | 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) | 0.000 | 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".