Zonejection: Conservation Tillage Manure Nutrient Delivery System
Bibliographic record
Abstract
Manure application in minimum till (MT) systems is a challenge worthy of attention because residue cover is a keystone for environmental protection. To develop a system combining zone tillage and manure application into one operation (zonejection), two experiments were conducted. In Exp. 1, liquid swine manure (LSM) was applied in fall or spring for two site years (A, B). In Exp. 2, LSM was zone‐applied either all preplant (PP) or split between preplant and sidedress (SP) for three site years (C, D, E). In both experiments, dietrich (DMI), vibro shank (VS), or subsurface deposition (SSD) applied the LSM, corn ( Zea mays L.) was seeded in the manured zone, and NO 3 –N movement was monitored. Nutrients were supplied by inorganic fertilizer (IF) in control treatments under conventional till (CT), no till (NT), and zone till (ZT). With fall‐applied LSM, after a mild winter, more N was lost from the soil–plant system (i.e., 35 kg ha −1 soil NO 3 –N) than after a cold winter with snow cover (18 kg ha −1 ), and corn grain yield was reduced (by 1.2 Mg ha −1 ), even though supplemental fertilizer N was sidedressed. In Exp. 2, with LSM zoned all PP or SP, grain yield and N use efficiency were comparable to that with IF, except when double the crop N requirement was zoned all PP (Site D). Planting into a zone of concentrated LSM (3.4 S m −1 ) reduced grain yield when the LSM was injected by VS. With careful management, zonejection allows efficient utilization of manure nutrients while preserving residue cover.
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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".