Effects of Different Trace Elements and Levels on Nutrients and Energy Utilization, Antioxidant Capacity, and Mineral Deposition of Broiler Chickens
Bibliographic record
Abstract
This study investigated the effects of inorganic trace elements (IEs) and sucrose chelated trace elements (SEs) on the growth performance, nutrients and energy utilization, antioxidant capacity, and mineral deposition in broiler chickens, and the efficiency of IEs replaced by SEs at different levels was also evaluated. A total of 448,21-day-old male Arbor Acres broiler chickens with similar body weights were randomly assigned into 6 dietary treatments (8 cages/treatments) in a complete randomized design. Treatments were a basal diet including 2.0 g/kg of IE (IE-2.0) premix, and SE-2.0, SE-1.5, SE-1.0, SE-0.5, and SE-0 were basal diets in which IEs were replaced by SE premix at 2.0, 1.5, 1.0, 0.5, and 0 g/kg, respectively. In general, there was a linear and quadratic decrease in growth performance including average daily feed intake (ADFI) and average daily gain (ADG), apparent and true availability of nutrients (DM, OM, and CP), GE, trace elements (Cu, Zn, Mn, Fe, I, and Se), essential AA (Lys, Met, Arg, His, Phe, Thr, and Val), non-essential AA (Asp, Ser, Glu, Gly, and Cys), superoxide dismutase (SOD), and trace elements (Fe, Zn, Cu, and Mn) in the liver, and an increase in feed-to-gain ratio (F/G) and liver malondialdehyde (MDA), with decreasing SE levels (p < 0.05). In conclusion, under the conditions of this experiment, using half of the sucrose chelated trace elements (Cu, Fe, Zn, and Mn) instead of inorganic trace elements did not affect the growth performance, nutrients and energy utilization, antioxidant capacity, and liver trace element deposition in broiler chickens.
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 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".