Effect of full-fat hemp seed on performance and tissue fatty acids of feedlot cattle
Bibliographic record
Abstract
Sixty individually penned steers (380 ± 39 kg) were fed barley-based finishing diets containing 0 (control), 9 or 14% full-fat hemp seed (HS) and effects on performance and tissue fatty acid profiles were assessed. At harvest, samples of pars costalis diaphragmatis (PCD) and brisket fat were collected from each carcass. Feeding HS did not affect (P > 0.25) dry matter intake (DMI), average daily gain (ADG), or gain feed -1 . Carcass traits were also unaffected (P > 0.35) by treatment. Feeding HS linearly increased (P < 0.001) proportions of C18:0, C18:3 and C18:1 trans-9 in PCD, and 18:2 trans, trans in both PCD and brisket fat. As well, HS linearly increased cis-9 trans-11 CLA (P < 0.001), total saturates (P = 0.002) and polyunsaturated fatty acids (PUFA) (P = 0.01) in PCD. The presence of C20:4, C20:5 and C22:5 was detected only in tissues of cattle supplemented with HS (P < 0.06). Linear reductions (P < 0.002) in C16:1 cis, C17:1, C18:1 cis -9, C20:1, and total unsaturates in PCD, as well as linear decreases in C17:0 (P = 0.04) and C17:1 (P < 0.001) in brisket fat were observed when HS was fed. Levels of HS up to 14% of diet ary DM exerted no detrimental effect on the growth or feed efficiency of cattle as compared to cattle fed a standard barley-based finishing diet. Including HS in the diet had both positive (increased CLA content) and negative (increased trans and saturated fats) effects on fatty acid profiles of beef tissues. Key words: Beef, conjugated linoleic acid, full-fat oilseed, hemp seed, tissue fatty acids
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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 | 0.001 |
| 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".