Effects of abomasal infusion of conjugated linoleic acids, Sterculia foetida oil, and fish oil on production performance and the extent of fatty acid Δ9-desaturation in dairy cows
Bibliographic record
Abstract
The purpose of this study was to determine the effects of conjugated linoleic acid (CLA), Sterculia foetida oil (STO), and fish oil (FO) on milk yield and composition, milk FA profile, Δ(9)-desaturation activity, and mammary expression of 2 isoforms of stearoyl-coenzyme A desaturase (SCD-1 and SCD-5) in lactating dairy cows. Eight multiparous Holstein cows (69 ± 13 d postpartum) were used in a double 4 × 4 Latin square design with 28-d periods. For the first 14 d of each period, cows received an abomasal infusion of (1) 406 g of a saturated fatty acid (SFA) supplement (112 g of 16:0 + 230 g of 18:0) used as a control (CTL), (2) 36 g of a CLA supplement (13.9 g of trans-10,cis-12 18:2) + 370 g of SFA, (3) 7 g of STO (3.1g of 19:1 cyclo) + 399 g of SFA, or (4) 406 g of FO (55.2 g of cis-5,-8,-11,-14,-17 20:5 + 59.3 g of cis-4,-7,-10,-13,-16,-19 22:6). Infusions were followed by a 14-d washout interval. Compared with CTL, STO decreased milk yield from 38.0 to 33.0 kg/d, and increased milk fat concentration from 3.79 to 4.45%. Milk fat concentration was also decreased by CLA (2.23%) and FO (3.34%). Milk fat yield was not affected by STO (1,475 g/d) compared with CTL (1,431 g/d), but was decreased by CLA (774 g/d) and FO (1,186 g/d). Desaturase indices for 10:0, 12:0, and 20:0 were decreased, whereas the extent of desaturation of 14:0, 16:0, 17:0, and 18:0 was not affected by CLA treatment compared with CTL. Infusion of STO significantly decreased all calculated desaturase indices compared with CTL; the 14:0 index was reduced by 80.7%. Infusion of FO decreased the desaturase indices for 10:0, 14:0, 20:0, trans-11 18:1, and 18:0. The effect of FO on the 14:0 index indicates a decrease in apparent Δ(9)-desaturase activity of 30.2%. Compared with CTL, mammary mRNA abundance of SCD-1 was increased by STO (+30%) and decreased by CLA (-24%), whereas FO had no effect. No effect was observed on mRNA abundance of SCD-5. In conclusion, abomasal infusion of CLA, STO, and FO were shown to exhibit varying and distinct effects on desaturase indices, an indicator of apparent SCD activity, and mammary mRNA abundance of SCD-1.
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) | 0.001 | 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".