Species composition and diversity of arbuscular mycorrhizal fungi in White Nile state, Central Sudan
Bibliographic record
Abstract
A survey was conducted in 13 selected crops in the White Nile state, Central Sudan, to assess root colonization, spore densities and species richness of arbuscular mycorrhizal fungi (AMF) based on morphological aspects. For each crop, four samples were taken from one field. Additionally, an attempt was made to study the relationship between soil physico-chemical properties and AMF colonization rates, spore densities, species richness and other selected AMF diversity indices. The mean percentage of AMF colonization across all crops was 34%, ranging from 19% to 50%. The spore densities retrieved from the different rhizospheres were relatively high, varying from 344 to 1222 spores per 100 g dry soil with a mean of 798. There was no correlation between AMF spore densities in the soil and the root colonization rates. A total of 42 morphologically classifiable species representing 14 genera of AMF were detected without correlation between species richness in the soil and the spore densities. A hierarchical cluster analysis based on the similarity among AMF communities with respect to crop species overall showed that species compositions were relatively similar to the highest dissimilarities of about 25% dividing three of the four mango samples and the four sorghum samples from all other samples.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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 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".