Growth and Tolerance of Pleurotus ostreatus at Different Selenium Forms
Bibliographic record
Abstract
Selenium is an important element in physiological and metabolic processes. Due to low Se concentration in most of the soils, strategies as enrichment and biofortification have been used to increase its incorporation in food. The fungus has capacity to absorb, accumulate and transform Se inorganic into organic compounds. However, the concentration and chemical forms of Se used for enrichment can affect the mycelial growth and mushrooms production. Thus, the aim of this study was to analyze the capacity of Pleurotus ostreatus in absorb, accumulate and tolerate growing concentrations of different Se chemical forms. In the disc of agar with mycelium was added 20 mL of PDA medium and Se concentration (0-200 mg L-1) in the forms of sodium selenite, sodium selenate or selenomethionine (SeMet). The greatest inhibition of mycelial growth and biomass production were observed in highest Se concentration. Regardless of the Se level, SeMet and sodium selenite were more harmful to the P. ostreatus growth than sodium selenate. However, the highest Se accumulation in the mycelium was observed in culture medium with sodium selenite. Thus, Se supplementation in the forms of sodium selenite was more indicated to enrichment of P. ostreatus mushrooms than sodium selenate and SeMet.
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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 | 0.000 |
| 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".