Placement depth and distribution of cattle slurry influence initial maize growth and phosphorus and nitrogen uptake
Bibliographic record
Abstract
Abstract Background Placed cattle slurry (CS) provides essential nutrients such as nitrogen (N) and phosphorus (P) to young maize ( Zea Mays L.) plants and may substitute the use of mineral starter fertilizers. However, placement depth and distribution of slurry may influence the plant growth response. Aims The objective was to evaluate the effects of slurry placement depth and distribution on initial maize growth, and N and P uptake on loamy sand and coarse sandy soil. Methods In a pot experiment, CS spiked with ( 15 NH 4 ) 2 SO 4 was placed either 2, 5, or 8 cm below the seed in a thick layer covering 50% of the central pot area or 5 cm below the seed in a thinner layer covering the whole pot area. Results In the loamy sand soil, maize biomass and P uptake at the five‐leaf stage were higher when slurry was placed in a thick‐centered layer 2 or 5 cm below the seed than at 8 cm. In the coarse sandy soil, maize biomass increased by 21%, when slurry was placed in a thinner layer covering the whole pot area, compared to slurry placed in a thick layer, whereas slurry placement depth had no effect on this soil type. Nitrogen use efficiency (NUE) and 15 N recovery ( 15 NRE) were not affected by slurry placement depth, but the application of slurry in the thick layer increased NUE and 15 NRE in loamy sand soil as compared to the thin slurry layer at the same depth. Conclusions Placed CS could replace starter N and P fertilizer for the early growth of maize. The beneficial effect of placed slurry depended on slurry placement depth in the loamy sand soil and slurry distribution in the coarse sandy soil, and distribution of slurry in broader bands seems a promising strategy in coarse sandy soils.
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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".