Impact of prolonged cold exposure on dry matter intake and enteric methane emissions of beef cows overwintered on low-quality forage diets with and without supplemented wheat and corn dried distillers' grain with solubles
Bibliographic record
Abstract
Bernier, J. N., Undi, M., Plaizier, J. C., Wittenberg, K. M., Donohoe, G. R. and Ominski, K. H. 2012. Impact of prolonged cold exposure on dry matter intake and enteric methane emissions of beef cows overwintered on low-quality forage diets with and without supplemented wheat and corn dried distillers' grain with solubles. Can. J. Anim. Sci. 92: 493-500. This study was conducted to determine the impact of prolonged cold exposure on dry matter intake (DMI) and enteric methane (CH4) emissions of overwintering beef cows consuming low-quality forage with and without supplemented protein in the form of dried distillers' grain with solubles (DDGS). The study was carried out with 30 mature, dry, open beef cows (663±52.9 kg) that were fed a low-quality (deficient CP, 6.0% CP) forage (control), low-quality forage supplemented with 10% DDGS (sufficient CP, 8.7% CP; DDGS10) or 20% DDGS (excess CP, 11.6% CP; DDGS20). Carrying out the study from October through February allowed assessment under thermal neutral and prolonged cold conditions typical of the prairie region of Canada (Manitoba, Alberta and Saskatchewan). Average minimum and maximum daily temperatures were 2.7 and 13.8°C in the thermal neutral period, and -23.5 and -11.0°C in the prolonged cold period, respectively. When no protein supplements were offered, cows exposed to prolonged cold consumed less (P=0.01) forage than when exposed to thermal neutral conditions. Enteric CH4 emissions, when measured as litres per day, were not influenced (P>0.05) by dietary protein supplementation, averaging 285.6±11.71, 311.9±11.49 and 282.6±13.02 L d-1 for cows fed control, DDGS10, and DDGS20 diets, respectively. When expressed as a percentage of energy consumed, cows consuming low-quality forage supplemented with 20% DDGS produced 18.5% less (P=0.01) enteric CH4 relative to cows consuming the low-quality forage only, with emissions of 5.3±0.38 and 6.5±0.33% GEI, respectively. Mature beef cows maintained at the same physiological status and dietary regime produced 26.8% less (P=0.001) enteric CH4 (7.1±0.30 vs. 5.2±0.26% GEI) under prolonged cold as compared with thermal neutral conditions. Based on these results, enteric CH4 emissions for the Canadian cow herd that is overwintered outdoors may be overestimated using current International Panel on Climate Change (IPCC) methodology.
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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) | 0.001 | 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".