Diversity and Biological Activities of Endophytic Fungi at Al-Qassim Region
Bibliographic record
Abstract
In recent year’s endophytic fungi has become a major concern on their host plants by enhancing their growth, increasing their fitness, strengthening their tolerances to abiotic and biotic stresses, and promoting their accumulation of secondary metabolites. Kingdom of Saudi Arabia has a wide range of flora which may be a rich source of endophytic fungi so that, the present study involves diversity and bioactivity of the endophytic fungal community in Al-Qassim region from 15 wild plants 162 isolates were obtained and identified. Among them, the most common isolates were Aspergillus niger, Aspergillus terreus, Aspergillus ochraceous and Trichoderma viride, these four endophytic isolates were examined for its antagonistic effect against six phytopathogenic fungi using two different assays, Dual-culture and Culture filtrate. Trichoderma viride recorded the most significant growth inhibition of almost pathogenic fungi followed by the three endophytic Aspergillus spp. In addition, these four endophytic fungi were screened for the production of some extracellular enzymes such as protease, cellulose, amylase, pectinase and xylanase. Our results show the ability of these isolates to produce these extracellular enzymes so this indicated the possible role of endophytic fungi as a biocontrol agent of plant disease.
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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 | 0.000 |
| 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".