<i>Achyranthes Japonica </i>Nakai root extract supplementation improves apparent nutrient digestibility, caecum microbiota, and excreta gas emission in broiler chicks
Bibliographic record
Abstract
This study investigated the effects of supplementing Achyranthes Japonica Nakai (AJN) root extract to the diet of broiler chicks on growth performance, nutrient digestibility, caecum microbiota, excreta gas emission, and relative weight of organs. A total of 270 one-day-old Ross 308 broiler chicks (42.11 ± 0.18 g) were randomly allotted into three dietary treatments according to the initial body weight. Each treatment had five replicate cages with 18 birds per cage. The experimental period was 35 d (starter, days 1–7; grower, days 8–21; finisher, days 22–35). Dietary treatments were a corn–soybean meal-based basal diet supplemented with 0.000%, 0.015%, or 0.030% AJN root extract. The apparent total tract digestibility of nitrogen (P = 0.025) increased linearly with the increase of the dosage of AJN root extract, while the counts of Escherichia coli in the caecum (P = 0.038) and excreta ammonia emission (P = 0.003) decreased linearly. However, the growth performance (P > 0.05) and the relative weight of organs (P > 0.05) did not differ among the dietary groups. In conclusion, AJN root extract could increase the nutrient digestibility and reduce the noxious gas emission by reducing the caecum harmful microbiota in a dose-dependent manner.
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) | 0.000 | 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".