Variable rate precision application of feedlot cattle manure mitigates soil greenhouse gas emissions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
• Constant and variable manure rates impact GHG emissions within commercial silage barley fields. • Landscape position and its catchment area size impacted N 2 O, CH 4 , and CO 2 emissions. • Phosphorus-limited crop growth increased yield- and value-scaled N 2 O, CH 4 , and CO 2 emissions. • Solid cattle manure did not influence ecosystem respiration or the CO 2 -equivalent emissions. • Variable rate manure application reduced N 2 O emissions and increased CH 4 sink strength. Solid cattle manure amendments provide a low-cost alternative nutrient source to inorganic fertilizers, while providing a carbon input to the soil. The augmented soil organic carbon levels, however, may be largely offset by manure-related greenhouse gas (GHG) emissions. Soil nitrous oxide (N 2 O), methane (CH 4 ), and carbon dioxide (CO 2 ) emissions were measured at the landscape-scale in a Canadian prairie agricultural field supporting silage barley ( Hordeum vulgare L.) production. Manure was applied to meet barley P requirements, while total N rate was supplemented using anhydrous ammonia. A non-manured control (NMC) also was included, to calculate N 2 O emission factors. The NMC zone consisted of an annual application of anhydrous ammonia at 80 kg N ha −1 . In addition to solid cattle manure at a constant (CRM; 45 Mg ha −1 ) or variable (VRM; 0–72 Mg ha −1 ) rate, the manured treatment zones also received 80 kg N ha −1 of anhydrous ammonia. The VRM treatment included set-backs from the watershed basin centers in ephemeral wetlands that did not receive solid cattle manure. Gas samples were collected using chamber-based methodology, with chambers installed at 130 locations across six watershed basins (n = 2 per zone) during 2019–2021. Cumulative N 2 O emissions were 76 % (CRM) and 62 % (VRM) higher following manure addition. The normalized N 2 O emissions for CRM were 24 % greater than VRM and NMC, with CRM having 31 % larger manure-induced N 2 O emissions than VRM. Though all soils were net CH 4 sinks, manure application reduced CH 4 consumption by 33 % (CRM) and 25 % (VRM) compared with the NMC. Manure addition did not impact cumulative CO 2 emissions. Although VRM application mitigated manure-related GHG emissions, enhanced GHG intensity following manure addition highlights the importance of ensuring balanced soil fertility, to support optimal crop growth and maximize yield-scaled GHG performance metrics in manured landscapes.
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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 | 0.001 |
| 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 it