Methane emissions and digestive physiology of non-lactating dairy cows fed pasture forage
Bibliographic record
Abstract
The objective of this study was to identify intake and digestion characteristic(s) responsible for variation in methane (CH 4 ) emissions from non-lactating cows fed pasture forage. Nine Friesian × Jersey cows ranked low, medium or high CH 4 emitters [group means 15.3, 19.2 and 24.8 g kg -1 dry matter intake (DMI), respectively; P = 0.015] were selected from a herd of 302 lactating cows. The selected cows were dried-off, rumen-fistulated, and fed indoors on fresh pasture forage at 0700 and 1700. Voluntary feed intake (VFI), feeding behaviour and intake rates (IR) were measured over 5 d. Feed allowance was reduced to 90% of VFI for measurement of CH 4 emissions and rumen fermentation and digestion kinetics parameters. Although some variation in CH 4 yield remained among the animals (26.4 ± 3.6 g kg -1 DMI), the previous ranking of cows during lactation was no longer evident during this study (P = 0.41). The change in CH 4 yields may have resulted from lower feed intakes of lower quality pasture compared with grazing. Regression analysis showed that absolute CH 4 emission (g d -1 ) was best described by DMI and rumen acetate concentration (ACE) before the PM feeding (ACE 1700) (R 2 = 0.88), whereas CH 4 yield (g kg -1 DMI) was mainly a function of ACE 1700 h alone (R 2 = 0.84). We suggest that large animal-to-animal variations in CH 4 yield are most likely associated with high intakes and concomitant effects of salivation and rumen digestion and passage. Key words: Methane, animal variation, feed intake, rumen digestion, dairy cows, pasture
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".