Effects of saccharified corn straw on growth performance, nutrient metabolic rates, gastrointestinal tract development, and serum antioxidant index of broilers
Bibliographic record
Abstract
This study was conducted to investigate effects of saccharified corn straw (SCS) on broiler growth. A total of 250 one-day-old female Arbor Acres (AA) broilers were distributed into five groups. The broilers in groups 1–5 were fed with diets containing 0% (basal diet), 4%, 8%, 12% SCS, and 8% SCS (high oil), respectively. The experiment lasted 42 d including early and later stages. In the early stage, average daily gain (ADG) and feed conversion ratio (FCR) in groups 2 and 5 were almost the same as the control group; higher levels of SCS additions would decrease ADG and increase FCR (P < 0.05). In the later stage, ADG was higher, and FCR was lower in group 5 than that in other groups (P < 0.05); ADG in groups 3–4 was higher than that in groups 1 (P < 0.05) and 2. The different levels of SCS supplementation had different effects on nutrient metabolic rates and relative organ weight (P < 0.05), but they had insignificant effects on relative organ length. In the later stage, SCS supplementation could significantly increase serum total antioxidant capacity activity. It could be concluded that dietary 4% SCS in the early stage and 4%–12% SCS in the later stage had no negative effects on growth performance and nutrient metabolic rates for broilers.
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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) | 0.001 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".