Comprehensive assessment of two Diptera species in the resource utilization process of swine manure
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
To advance sustainable swine manure management through insect-mediated bioconversion, this study implemented a comparative evaluation of the flesh fly Boettcherisca peregrina (Robineau-Desvoidy) (Diptera: Sarcophagidae) and the blow fly Aldrichina grahami (Aldrich) (Diptera: Calliphoridae). We quantified: (i) larval viability and bioconversion efficiency under manure-fed conditions, (ii) nutritional profiles and heavy metal accumulation in larval biomass, and (iii) agronomic value and residual heavy metal speciation of processed residues. B. peregrina exhibited higher adaptability, achieving a 95% survival rate and maximum biomass within 72 h, achieving a 35.6% swine manure mass reduction, slightly outperforming A. grahami (34.3% over 84 h). Both species produced nutrient-dense larvae (56.2% to 56.4% crude protein, 24.5% to 25.2% lipid) and pupae (61.3% to 63.8% protein, 18.4% to 19.1% lipid), with balanced essential amino acid profiles suitable for animal feed. However, arsenic accumulation in larvae approached EU feed safety limits, highlighting the need for substrate optimization. Processed residues showed enhanced agronomic value, with available phosphorus increasing by 24% to 29%, while most heavy metals remained below phytotoxic thresholds; however, chromium approximately doubled after bioconversion. From an application perspective, the short development time (3 to 5 d) and relatively high conversion efficiency of both species suggest economic advantages over longer-cycle insects such as black soldier fly, although successful scale-up will require careful management of substrate variability, biosecurity, and trace-metal risks. Overall, these findings identify B. peregrina and A. grahami as promising candidates for circular agriculture systems.
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 | 0.000 | 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) | 0.000 | 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