Growing Pleurotus ostreatus (ex. Fr) Kummer Using Gamma Radiation in Southern Ghana and its Associated Pests
Bibliographic record
Abstract
Pests have been implicated in causing severe damage to food crops including mushrooms, thereby increasing the incidence of postharvest loss. This study investigated the various pests involved in the cultivation of gamma radiation aided cultivated Pleurotus ostreatus. Pests were isolated and identified by the procedure described by the Entomological Society of Canada. Cultivation of Pleurotus ostreatus was achieved by pre-treating composted sawdust substrates and spawn preparation with a gamma radiation dose of 15 kGy from a Cobalt 60 source (SLL 515, Hungary) at a dose rate of 1.7 kGyh-1 in air. A total of five pests were recorded while cropping, namely; Drosophila melanogaster (Fruit fly), Blatta germanica (cockroach), Archachatina marginata (giant snail), and Doratogonus meridionalis (millipede) and Cryptophlebia leucotreta (False codling moth). The predominant pest was Drosophila melanogaster (Fruit fly) (97%). Results recorded over four flush periods were 378g, 0.63, and 63% for Total yield, biological yield, Biological Efficiency (%), respectively. The average stipe length and pileus diameter were recorded and showed no statistical differences (p>0.05) observed in the different weeks. Other growth parameters (mushroom size, total number of primordia, total number of fruitbodies etc.) recorded showed some significant differences (p<0.05). Pests identified contributed to yield reduction and product quality.
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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".