Lactation performance of dairy cows fed increasing concentrations of wheat dried distillers grains with solubles
Bibliographic record
Abstract
In Western Canada, dried distillers grains with solubles (DDGS) is produced from mixtures of corn and wheat at variable ratios, and used as a source of dietary crude protein (CP) in diets of lactating dairy cows. The objective of this study was to determine the effect of increasing dietary allocation of wheat DDGS on dry matter intake, milk production, milk composition, feed efficiency, plasma metabolites, and ruminal fermentation of dairy cows in midlactation. Sixteen multiparous and 16 primiparous lactating Holstein cows were used in a replicated 4 × 4 Latin square design with 3-wk periods. Dietary treatments were a control diet containing canola meal as the primary protein source (CON) and diets containing increasing concentrations of wheat DDGS in place of corn DDGS (0, 50, and 100% of dietary DDGS allocation). The treatment protein sources supplied approximately 35% of dietary CP. Yields of milk, milk fat, lactose, and energy-corrected milk were greater for diets containing DDGS compared with the CON diet. Although cows fed the DDGS diets tended to have lower CP digestibility compared with those fed the CON diet, concentrations of ruminal ammonia nitrogen, plasma urea nitrogen, and milk urea nitrogen were higher, but milk protein concentration was lower for cows fed the DDGS diets. Although dry matter intake increased linearly as the dietary allocation of wheat DDGS increased, milk yield was not affected, thus decreasing feed efficiency linearly. Feeding increasing levels of wheat DDGS tended to decrease plasma glucose concentration linearly. Plasma Leu concentration decreased linearly and plasma Gln concentration increased linearly as dietary inclusion of wheat DDGS increased. Apparent total-tract digestibility of nutrients except for CP was not affected by dietary treatments. A mixture of wheat and corn DDGS seems to have similar feeding values to both DDGS sources and it can be used as an alternative protein source in diets for lactating dairy cows. However, replacing corn DDGS with wheat DDGS might decrease feed efficiency.
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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 | 0.000 | 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) | 0.001 | 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".