Effects of Phosphorus Fertilization on the Microzone Characteristics of a Calcareous Alluvial Soil Using Incubation Method
Bibliographic record
Abstract
A study on the changes of the physical and chemical properties of calcareous soils receiving different rates of phosphorus fertilizer were carried out using incubation method for 180 days.The main results showed that soil pH decreased from 8.76 to 7.36 due to the application of P fertilizer.The content of Olsen-P and 0.01 mol L-1 KCl extracted P(KCl-P) were very high for the treatments receiving high phosphorus rates.For the F1,F2,F3 and F4 treatments,the contents of Olsen-P were 2338.5 mg kg-1,1576.7 mg kg-1,713.6 mg kg-1,and 316.9 mg kg-1,respectively;the contents of KCl-P were 1226.3 mg kg-1,1189.2 mg kg-1,880.2 mg kg-1,and 382.9 mg kg-1,respectively.For samples collected at the same incubation time,the contents of Olsen-P and KCl-P increased with the higher P rates.However,as for the treatments of same phosphorus rates,the contents of Olsen-P and KCl-P decreased as the incubation time prolonged,the higher P rate the larger decrease range.The content of organic phosphorus increased with the increased incubation time.For the inorganic P fractions,the Ca-P was predominant.The contents of Ca2-P,Ca8-P and Al-P increased with the fertilization rates,while the contents of O-P and Ca10-P did not change very much.The content of Fe-P was very small during the whole incubation period.As the incubation time increased,the content of Ca2-P decreased,while the Ca8-P increased largely.
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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) | 0.001 | 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".