Effects of alfalfa flavonoids on broiler performance, meat quality, and gene expression
Bibliographic record
Abstract
Two hundred and forty 1-d-old Arbor Acre female broilers were used to study the effects of alfalfa flavonoids (AF) on broiler performance, meat quality, and gene expression. Chicken were fed with basal diet supplemented with AF at 0, 5, 10, or 15 mg kg −1 diet for a period of 42 d. Growth performance, meat quality, antioxidant effect and lipoprotein lipase (LPL), adipose triglyceride lipase (ATGL), peroxisome proliferator-activated receptor γ (PPARγ), and fatty acid synthase (FAS) gene expressions were investigated. Results showed that AF inclusion in the diet enhanced the body weight (BW) at 42 d of age and the average daily gain from 0 to 42 d, decreased the total cholesterol (TC) and low-density lipoprotein cholesterol (LDL) levels and increased HDL level in the serum, enhanced the superoxide dismutase (SOD), catalase (CAT), total antioxidant capacity (T-AOC), and glutathione peroxidase (GSH-Px), and decreased the malondialdehyde (MDA) concentrations in the serum. Also, AF supplementation decreased the abdomen fat rate, marble, and the drip loss and storage loss after the storage for 96 h. Gene expressions’ results showed that AF inclusion decreased the FAS expression and increased the LPL, PPARγ, and ATGL expressions in the liver and adipose tissues, especially when the AF inclusion level was 15 mg kg −1 diet. These results indicate that AF were found to be effective for average daily gain and breast percentage promoting, meat quality and antioxidant activity improvement via upregulating the LPL, ATGL, PPARγ, and downregulating the FAS expression in adipose and liver tissues.
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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".