Diversity of Arbuscular Mycorrhizal Fungi of Durum Wheat (Triticum durum Desf.) Fields of the East of Algeria
Bibliographic record
Abstract
In Algeria, in the semi-arid and arid areas cereal production is limited because of many constraints like lack of mineral elements (phosphorus and nitrogen), low organic matter and an insufficient water reserve due to the low rainfall. Most researches on durum wheat (Triticum durum Desf.) are undertaken to increase its productivity. In recent years several methods have been used including using microorganisms. Arbuscular Mycorrhizal fungi (AMF) appear to have important roles in plants in various soil conditions. In Algeria and particularly in the eastern regions, the diversity of AMF spores in the soil is so far little studied. In this context this study focuses on the study of the diversity and the abundance of AMF spores in Triticum durum Desf. fields in arid, semi-arid and coastal regions. Soil samples were collected and characterized and the spores isolated by the wet sieving methods were observed, counted and identified. The results of the physic-chemical characterization of all soil samples reveal a clay loam, loam clay and loam sandy soils with an alkaline pH (7.54-8.27), a total nitrogen content from 0.023 to 0.082% and phosphorus content ranging from 1.63% to 7.74%. We noted the presence of several morphotypes that were classified as follow: Glomeraceae, Acaulosporaceae and Scutellosporaceae with a predominance of Glomeraceae in different sites depending on climate and soil type. The presence of these families demonstrates a biodiversity of the eastern wheat fields of Algeria.
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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 | 0.000 | 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) | 0.001 | 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".