Effect of Dextrose Sugar on the Growth and Production of Oyster Mushroom (Pleurotus ostreatus) through Tissue Culture
Bibliographic record
Abstract
The study was conducted to investigate the dextrose sugar effect as carbon source on mycelial growth and production of Oyster mushroom (Pleurotus ostreatus). The experiment was performed in Mushroom Laboratory, Plant Pathology Section, Agriculture Research Institute, Tandojam, during 2013-2014. Mycelial growth was developed by using tissue culture on medium (PDA) potato dextrose agar with various concentrations of dextrose sugar. Analysis of variance for concentrations was statistically highly significant for all the parameters. In some cases among the different concentrations, 2.0% dextrose sugar showed after 2 days of micro propagation, the mycelial growth (1.9 cm) was recorded, followed by 1.5% dextrose sugar that showed (1.7 cm). The earlier spawn mycelia growth was observed in case of amending same 0/2% dextrose sugar (24.5 days). The pinhead first appeared (29.5 days) after the date of spawning by using 2.0% dextrose sugar. The minimum period (4.2 days) for maturation of mushroom fruiting body were recorded at 20% and 1.5% dextrose sugar. The maximum numbers of fruiting bodies (56.2) were observed with an application of dextrose sugar at 2.0%. The maximum number of bunches per bag (16.5) were harvested with an application of dextrose sugar 2.0%. The highest (350.5 g) fresh yield of Oyster mushroom Pleurotus ostreatus was recorded from 2.0% am ended of dextrose sugar.
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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".