Effects of Cultivation Substrates on Yield and Quality of <i>Ganoderma lucidum</i>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Ganoderma lucidum, renowned for its rich polysaccharides and triterpenoid active compounds, possesses significant medicinal value, driving strong market demand.This study examines the effects of different cultivation substrates on the yield and quality of G. lucidum, aiming to identify substrates that can effectively enhance its yield and active compound content.The study evaluated various substrates, including sawdust, agricultural waste, and modified media, finding that specific lignocellulosic substrates, such as coconut sawdust, significantly increased the yield and biological efficiency of G. lucidum.Additionally, the incorporation of supplements like olive oil and copper was found to enhance the triterpenoid and phenolic compound content in G. lucidum.The findings indicate that optimizing substrate formulations and additives can improve the medicinal value and economic viability of G. lucidum production, providing a scientific basis for achieving efficient and sustainable cultivation.This study has significant practical implications for the development of the G. lucidum cultivation industry, suggesting future directions for further optimization of substrates and cultivation conditions to meet the market demand for high-quality G. lucidum.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| 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) | 0.000 | 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 it