The Effectiveness Analysis of Arbuscular Mycorrhizal Fungi (AMF) and Ameliorant Treatments on the Growth of Red Jabon Seedling on Soil Medium Post-Lime Mining
Bibliographic record
Abstract
The use of AMF and CLW combinatination in reclamation and revegetation has never been done, so it is expected to provide added value in environmental improvement and accelerate the growth of red Jabon (Anthochepalus macropyllus) plants.This study aimed to analyze the effectiveness of AMF inoculants and soil ameliorants on the growth of Jabon red seedlings planted on post-mining soil media of limestone PT.Holcim Indonesia Tbk.The research method used a factorial randomized group design consisting of 3 treatment factors, namely factor 1 mycorrhizae (M0, M1, and M2), factor 2 phosphate (P0 and P1), and factor 3 leaching waste cement residue (CLW) from car castings (L0) and L1).So there were 12 treatment combinations, each treatment was repeated ten times, and each replicate was 12 plant units, so the total number was 1440 plants.The results showed that the interaction of the three treatment factors of AMF, phosphate, and CLW significantly increased the diameter increase of A. Macrophyllus seedlings planted on limestone post-mining soil media.The interaction of AMF treatment with phosphate significantly increased the growth of seedling height and the percentage of AMF colonization.The interaction of phosphate treatment with CLW significantly increased the increase in seedling height and seedling diameter.The single AMF treatment was effective in increasing the average increase in seedling height (18.20 cm), average increase in seedling diameter (2.67 mm), root fresh weight (6.46 g), shoot fresh weight (29.13 g), root dry weight (1, 77 g), shoot dry weight (5.14 g), total dry weight (6.91 g) as well as the percentage value of A. macrophyllus colonization on A. Macrophyllus plants reached 32.63%-41.00%.This study concludes that treatment with the addition of AMF has a significant effect on the seedling growth of A. macrophyllus.Seeing the extent of critical land, marginal land and damaged mining land in Indonesia, the innovation of using biological fertilizers in the form of AMF is one of the most appropriate and promising solutions in the future.
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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 | 0.001 | 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".