Evaluation of triticale dried distillers grains with solubles as a substitute for barley grain and barley silage in feedlot finishing diets1
Bibliographic record
Abstract
The objective of this study was to assess the value of triticale dried distillers grains with solubles (DDGS) as a replacement for barley silage in addition to a portion of the dry-rolled barley (DRB) in a grain-based feedlot finishing diet. The trial used 160 crossbred yearling steers: 144 noncannulated (478 +/- 84 kg) in a complete randomized design, and 16 ruminally cannulated (494 +/- 50 kg) in a replicated 4 x 4 Latin square design. The noncannulated steers were assigned to 8 standard pens (10 per pen) and 8 pens equipped with the GrowSafe system (GrowSafe Systems Ltd., Airdrie, Alberta, Canada; 8 per pen). The cannulated steers were placed (2 per pen) in the 8 GrowSafe pens and moved between pens at 28-d intervals. Each of 4 experimental diets was fed in 2 standard and 2 GrowSafe pens. The diets contained (DM basis) 1) 85% DRB and 10% barley silage (CON); 2) 65% DRB, 20% triticale DDGS, and 10% barley silage (D-10S), 3) 65% DRB, 25% triticale DDGS, and 5% barley silage, and 4) 65% DRB, 30% triticale DDGS, and no barley silage. Supplement (5% of dietary DM) was included in all diets. Ruminal pH was measured over four 7-d periods using indwelling electrodes. Replacing barley silage with triticale DDGS linearly decreased mean ruminal pH (P = 0.006), linearly increased duration (P = 0.006 and P = 0.01) and area under the curve (P = 0.02 and P = 0.05) below pH 5.5 and 5.2, and linearly increased the frequency of subacute (P = 0.005) and acute (P = 0.05) bouts of ruminal acidosis. Variation in mean ruminal pH decreased (P = 0.008) in steers fed D-10S compared with CON. Similarly, variation in DMI was less for steers fed triticale DDGS compared with CON. Steers fed D-10S tended to have greater DMI (P = 0.08) but similar ADG and G:F compared with CON steers. Replacing barley silage with triticale DDGS tended to linearly decrease DMI (P = 0.10) and increase (P = 0.06) G:F. Compared with CON, steers fed D-10S tended to have greater backfat thickness (P = 0.10) and decreased dressing percentage (P = 0.06), ribeye area (P = 0.10), and meat yield (P = 0.06). Severity and number of abscessed livers was greater (P = 0.006) in steers fed D-10S compared with those fed CON. Although mean ruminal pH decreased as barley silage was replaced with triticale DDGS, the trend for improved growth suggests that reduced ruminal pH did not affect animal performance. Triticale DDGS can be substituted for barley silage in finishing diets in addition to a portion of barley grain without affecting growth performance or carcass quality, but it is recommended that an antimicrobial be included in the diet to reduce liver abscesses.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".