Stimulatory effect of peat on spore germination and hyphal growth of arbuscular mycorrhizal fungus <i>Gigaspora margarita</i>
Bibliographic record
Abstract
The effects of peat extract solutions on spore germination and hyphal growth of the arbuscular mycorrhizal fungus Gigaspora margarita Becker & Hall were investigated. Spores were incubated in extract solutions of peat from China and peat moss from Canada, which were prepared at a weight ratio of 1:10, 1:20, 1:30, 1:50 and 1:100 for each substrate according to the weight ratio of water. Compared with peat and peat moss solutions, solutions of KH2PO4 and (NH4)2SO4 at various concentrations were used as media to investigate the effect of phosphorus (P) and nitrogen (N). Spores in the peat solutions showed the highest values for germination percentage, hyphal length and number of auxiliary cells, and these values were significantly higher than the values recorded for the other treatments. In contrast, in the peat moss extract solutions, which had a lower content of N and higher content of P than the peat solutions, the germination and hyphal growth of spores decreased. Spore growth was promoted with increased concentrations of the N solutions. However, P solutions exerted an inhibitory effect on spore germination and hyphal growth. Peat solutions showed a high N content and low P content, which might be related to the promotion of spore growth.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.000 |
| 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".