Sugarcane Bagasse Ash as a Seedling Growth Media Component
Bibliographic record
Abstract
Bagasse is the fibrous material remaining after removing the sucrose, water, and other impurities (filter mud) from the milable sugarcane. Louisiana sugarcane mills use a portion of the sugarcane bagasse for fuel producing over 20,411 mt of sugarcane bagasse ash (SBA) as a by-product. The purpose of this research was to investigate the use of SBA as an amendment to soilless planting media for the production of vegetable seedlings. The SBA was combined by volume with a commercial soilless growing media into 5 combinations (0%:100%, 25%:75%, 50%:50%, 75%:25%, and 100%:0%, SBA and growing media, respectively). Squash var. ‘Straightneck’ and cantaloupe var. ‘Magnum Hybrid Melon’ were planted in each of the 5 different planting mixtures. The research indicates that the addition of SBA can enhance squash and cantaloupe seedling growth depending on the percentage of the ash added to the growth media. Squash plant stalk lengths and total plant fresh weights (stalk, leaves, tops, roots, and total plant) overall responded best at the 75% SBA. Squash dry weights were consistently greater when SBA was added to the soilless media compared to no SBA. The 25% and 50% SBA media produced the greatest cantaloupe leaf fresh weights. Cantaloupe leaf dry weights followed a similar trend, where the 25% and 50% SBA media produced greater plant weights with lesser yields observed at the 75% and 100% SBA levels. This data suggests that the 75% SBA and 25% SBA were certainly suitable potting media combinations for squash and cantaloupe seedling production, respectively.
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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".