Screening and identification of a phosphate solubilizing strain isolated from pig manure compost and determination of its phosphate solubilizing capacity
Bibliographic record
Abstract
A strain PSM-1 with strong ability to dissolve phosphates was isolated from pig manure compost. It was identified by morphology and ITS gene sequence analysis. The phosphate solubilizing ability and genetic stability of PSM-1 were tested. The results indicated that the strain was identified as Penicillium chrysogenum based on its morphological features and ITS gene sequence. The order of dissolving phosphorus in three different inorganic phosphorus liquid media were: Ca3( PO4)2( 138. 36 mg·L- 1) Fe PO4( 117. 38 mg·L- 1) Al PO4( 113. 76 mg·L- 1). Moreover,the quantity of dissolved phosphorus( QDP) and p H values in culture medium had significantly negative correlation. The strain PSM-1 achieved the highest QDP of 195.67 mg·L- 1when glucose as carbon source and ammonium nitrate as nitrogen source,which was higher than the initial available phosphorus of 141. 42%.The order of the carbon and source utilization efficiency by the strain was glucose sucrose maltose starch,and ammonium nitrate nitrate ammonium sulfate ammonium oxalate,respectively. The QDP of PSM-1 was maintained around( 124. 54 ± 3. 50) mg·L- 1after 20 times serial subcultivation,which indicated that the strain had a good genetic stability. The results suggested that the strain PSM-1 has desired solubilizing phosphate capacity,and it has potential applications in the soil ecological amendment.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".