Developmental patterns in hormone and lipid metabolism of growing Jinhua and Landrace gilts
Bibliographic record
Abstract
The aim of the present study was to investigate the developmental patterns of lipid metabolism, hormones and growth factor in Jinhua and Landrace gilts. Six purebred gilts of each breed were selected and slaughtered for analyses at 35, 80, and 125 d of age, respectively. Jinhua gilts contained less lean meat (P < 0.01), and more carcass fat (P < 0.05) compared with Landrace gilts. Serum leptin, insulin-like growth factor I (IGF-I) and insulin levels increased with age, whereas, free triiodothyronine (FT 3 ) and free thyroxine (FT 4 ) levels decreased with age in both breeds (P < 0.05). Jinhua gilts had lower (P < 0.05) serum IGF-I, FT 3 and FT 4 levels, and higher (P < 0.05) serum leptin and insulin levels compared with Landrace gilts. Fatty acid synthase (FAS) activity of Jinhua gilts was higher than that of Landrace gilts (P < 0.001), whereas Jinhua gilts had lower hormone-sensitive lipase (HSL) activity (P < 0.001). Jinhua gilts had lower (P < 0.05) levels of free fatty acid (FFA) and triacylglycerol (TG). These results suggest that hormone and growth factors could induce changes in lipid metabolism that inhibit fat synthesis through reducing lipogenic enzymes activities and promote fat degradation by increasing HSL activity, and therefore induce differences in carcass characteristics in the two breeds. Key words: Gilts, lipid metabolism, carcass characteristics, hormone, growth factor
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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".