Impact of Mycorrhizal Inoculation on the Development of Intsia bijuga Grown on Soil under Exotic Species Casuarina equisetifolia Plantation
Bibliographic record
Abstract
Installation of exotic species often influences the functioning of the soil microbial population and the development of indigenous plants. The objective of this study was to determine the influence of ectomycorrhizal inoculation on soil microorganisms and the development of the native plant Intsia bijuga grown on soils collected under exotic plantation of Casuarina equisetifolia. Two isolates of Pisolithus, Pis02 and PisE, were used to inoculate Intsia bijuga seedlings. After six months growth in a greenhouse, different parameters of plant development were evaluated: total biomass, mycorrhizal rate and chemical properties of leaves. For the rhizosphere soil, chemical and microbiological analyses were performed and enzyme activities were evaluated. The results showed that the inoculation of both ectomycorrhizal isolates caused a significant increase in phosphorus content in plant leaves and assimilable phosphorus content in soil cultures. In addition, the aboveground biomass of Intsia bijuga, the nitrogen content of leaves, the total microbial activity and the carbon content of the soil cultures were significantly higher with Pis02 inoculation. However the intensity of the acid phosphatase and the numbers of solubilizing tricalcium phosphate microorganisms and actinomycetes were significantly reduced. This study highlighted the importance of mycorrhizae in the establishment of native plants in soils under exotic plantation.
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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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".