KERAGAMAN MORFOTIPE FUNGI EKTOMIKORIZA PADA HUTAN PINUS (Pinus merkusii Jungh. & de Vriese) DI KEBUN RAYA KENDARI
Bibliographic record
Abstract
Kendari Botanical Garden is an ex situ plant conservation area that has the functions of conservation, research, education, tourism and environmental services. In the area there are many pine trees (Pinus merkusii Jungh. & de Vriese) which are known to be symbiotic with ectomycorrhizal fungi. The purpose of this study was to determine the diversity of ectomycorrhizal morphotypes under pine stands in Kendari Botanical Garden. This research was conducted from September to October 2020. The research method used was purposive sampling, including plot making, root sampling and characterisation and identification of root morphotypes. Morphotype characterisation used the colour atlas of ectomychorrizae guide while the percentage of colonisation was calculated using the gridline intersection method. Pinus merkusii formed 7 ectomycorrhizal morphotypes namely simple very pole brown, dichotomous light yellowish brown, dichotomous brownish yellow, monopodial-pinnate reddish black, irregularly pinnate very dark grey, coralloid dark brown and coralloid very dark grey. The simple very pole brown morphotype was the type with the highest relative abundance and species richness index with a root colonisation percentage of 36.43%. The ectomycorrhizal diversity index in P. merkusii is in the high category with a value of 3.45
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".