Influence of different AM fungi on the growth, nutrition and withanolide concentration of Withania somnifera
Bibliographic record
Abstract
Withania somnifera (Ashwagandha) is an important medicinal plant whose roots containing the alkaloid withanolide have been used in the Indian traditional system of medicine for the cure of many ailments. A polyhouse study was conducted to screen and select the efficient arbuscular mycorrhizal (AM) fungi for inoculating W. somnifera. Screening was done with eleven different species of AM fungi viz.Acaulospora laevis, Gigaspora margarita, Glomus bagyarajii, Glomus etunicatum, Glomus fasciculatum, Glomus intraradices, Glomus leptotichum, Glomus macrocarpum, Glomus monosporum, Glomus mosseae and Scutellospora calospora. Plants were raised in polybags containing sand soil mix inoculated with different AM fungi. Plant parameters like height, stem girth, biovolume index, biomass of shoot and root, NPK concentration, root withanolide concentration, and mycorrhizal parameters like root colonization, spore number in the root zone soil were determined following standard procedures. Based on the improved plant parameters, especially root biomass and withanolide concentration, it is concluded that Acaulospora laevis is the best AM fungus for inoculating W. somnifera, the next best being Glomus etunicatum.
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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 | 0.000 | 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 | 0.001 |
| 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".