Fertilizer-induced phosphorus dynamics in alkaline-calcareous soils as influenced by soil chemical properties
Bibliographic record
Abstract
For proper fertility management, the influence of soil properties on phosphorus (P) dynamics with fertilizer application should be better understood. We examined the influence of soil chemical properties on P dynamics with the application of monoammonium phosphate (MAP) to alkaline-calcareous soils from Manitoba. Nonfertilized and MAP-fertilized soils (at 30 and 60 kg P ha−1) were incubated for 8 wk. At 2 wk intervals, we analyzed pore water samples for dissolved reactive P (DRP) concentration, and soil samples for Olsen P (OP) and Mehlich-3 P (M3P) concentrations. Change in pore water DRP concentration with fertilizer application varied from a slight decrease (−0.02 mg L−1) to a significant, large increase (3.1 mg L−1) and showed a significant, negative relationship with P sorption capacity. The increase in OP and M3P with fertilizer application was influenced by the rate of P applied, initial soil test P and P sorption capacity. The estimated mean OP and M3P to maintain pore water DRP concentration at 0.2 mg L−1 were 25 and 48 mg kg−1, respectively. Fertilizer application at the same rate resulted in a widely varying degree of P saturation (DPS) increment depending on soil properties, indicating the importance of monitoring DPS changes for sustainable fertilizer use.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".