Nitrogen Dynamics of Decomposing Corn Residue Components Under Three Tillage Systems
Bibliographic record
Abstract
Corn ( Zea mays L.) residues returned after grain‐corn harvest are a heterogeneous mix of leaves, stems, husks, and cobs with a rather high overall C/N ratio. Considerable N immobilization has been reported from laboratory studies of decomposing corn residues, with less and variable N immobilization reported from field studies. The primary objectives of our study were to determine overall N dynamics for crop residues applied to land under corn grain production under three tillage systems in eastern Canadian conditions, and to see how constituent plant parts contribute to overall patterns of net N immobilization and release. Mesh litterbags (fiberglass screen) containing corn leaves, stems, cobs, or husks were buried or left on the soil surface in plots under no‐till, reduced tillage, or conventional tillage, and retrieved over a 2‐yr period. Residue N dynamics, including depth effects on residue N, differed greatly by residue type. Cobs, husks, and stems all immobilized N at some point. However, N immobilization was counterbalanced or exceeded by simultaneous N release from other residues, and no net N immobilization was observed for the residues overall (all types combined) for the sampling intervals included in our 2‐yr study. Nitrogen dynamics were related to ease of residue decomposition, in turn influenced by residue physical and chemical characteristics as well as by placement depth. Thus cobs immobilized little or no N at any given time because of their slow decomposition, despite very low initial N content. Estimated differences in residue N content between overall tillage systems were relatively small.
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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 | 0.001 | 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".