Nitrous Oxide Emissions in Southern Alberta Croplands in response to Nitrogen Rates, Fertigation and Moisture
Bibliographic record
Abstract
Irrigated agriculture is an important source of global food supply due to its high production intensity; however, it is also a large user of water and nitrogen fertilizer, and therefore, a potential large contributor of N2O emissions. This study explores the viability of fertigation, a method of splitting N fertilizer by using existing irrigation equipment to apply in-crop applications of N added with irrigation water, as a means to reduce N2O emissions. This field study examined N fertilizer rates of 0, 60, 90 or 120 kg N ha-1 in wheat and canola crops applied once at seeding versus split N application using in-crop fertigation (i.e., fertilizer applied at two timings throughout the growing season: once at seeding at 30, 60 or 90 kg N ha-1 plus 30 kg N ha-1 through fertigation done at wheat tillering or canola 5-leaf growth stages in early June) in Southern Alberta during two experimental years (2015 and 2016). The cumulative emissions from weekly gas measurements revealed that N2O emissions, on a per-area and per-yield basis, were directly related to N fertilizer rates. When examining the effects of fertigation to split the N application, we found that canola was unaffected, however, at intermediate rates (60 and 90 kg N ha-1), fertigation effectively reduced N2O emissions by half in the wheat crop in 2016. These results suggest that lower N rates at crop seeding reduce the availability of N substrate in the soil early in the growing season when plant uptake is still low, thereby reducing the risk of N transformation to N2O. The use of fertigation to apply N later in the growing season, when plant N demand and uptake is relatively high, could lead to a better use of fertilizer compared to a one-time application in the early spring. These effects were amplified when high soil moisture in the early spring was coupled with higher seeding N fertilizer rates which led to even higher rates of N2O production. A laboratory incubation of the 2016 wheat treatments reinforced the principle that available N was associated with N2O production. An in-depth examination of the 90 and 120 kg ha-1 total N treatments showed that higher initial concentrations of nitrate in the incubation soils was highly correlated to the amount of N2O produced over a 32-day incubation. However, the cumulative N2O emissions in soil taken from the fertigation 90 kg N ha-1 rate treatment had contradictory results to those seen in the field, larger amounts of N2O were produced from fertigated compared to the unfertigated microcosms. This was a result of the higher concentration of N in the soil following the recent fertigation (applied 9 days prior to field sample collection). However, this difference in nitrate concentration was not detected at the higher 120 kg N ha-1 rate and may have been a result of the differences in the sizes of the plant nutrient sink; larger plants from the higher fertilizer rate plots were able to take up the additional N applied through fertigation. Moisture treatments that simulated a typical range of irrigated conditions were also imposed on the incubated soils but did not significantly affect the production of N2O. More extreme moisture fluctuations (higher moisture for prolonged periods simulating irrigation and early-season rainfalls) should be explored to determine the effect of intense irrigation regimes or weather patterns on N2O emissions.
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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".