Long‐Term Effects of Semisolid Beef Manure Application to Forage Grass on Soil Mineralizable Nitrogen
Bibliographic record
Abstract
Livestock manure is an important source of N for forage grass production. The long‐term effects of semisolid beef manure application to forage grass on potentially mineralizable N ( N 0 ), mineralizable N pools, and field estimates of soil N supply were evaluated in dike‐land (heavy textured, poorly drained) and upland (medium‐textured) soils in Nova Scotia, Canada. Treatments included an unfertilized control, annual spring application of 100 kg N ha −1 mineral fertilizer or annual applications of 75, 150, or 300 kg total Kjeldhal N ha −1 as manure (M75, M150, and M300, respectively) from 1995 to 2004. Soil samples collected in fall 2004 were used to estimate N 0 using a 44‐wk aerobic incubation at 25°C. The N 0 values were 62 and 49% higher in the M300 treatment (324 and 480 kg N ha −l ) than the other manure treatments (199 and 323 kg N ha −1 ) for the upland and dike‐land soils, respectively. The mineralization rate coefficient ranged from 0.045 to 0.082 wk −1 Manure application increased the readily mineralizable N pool (Pool I); higher rates of application resulted in higher values in both soils. The intermediate and stable mineralizable N pools were increased only by the M300 treatment in the upland soil but not in the dike‐land soil. Long‐term manure application of the M300 treatment resulted in high N 0 with no yield benefits, which can increase the risk of N losses to the environment in both soils, whereas Pool I was responsive to all manure application rates.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".