Methane emissions from the rumen of sheep fed a mixed grass-clover pasture at two fertilisation rates in early and late season
Bibliographic record
Abstract
In vivo CH4 production from four rumen-fistulated sheep fed fresh ryegrass-white clover (Lolium perenne – Trifolium repens) diets ad libitum was monitored using C2H6 as a tracer gas. Treatments comprised mixed pastures at two different fertilisation rates (0 vs. 150 kg N ha–1 yr–1) and at two periods in the growing season (early, June–July vs. late, August–September). Higher crude protein (CP) [22.5% dry matter (DM)] in late vs. early season (13% DM) was associated with increased importance of protein fermentation, as suggested by higher rumen concentrations of iso-acids [3.7 ± 1.0 vs. 2.4 ± 0.9% total volatile fatty acids (VFA)]. However, rumen CH4 production (25.8 ± 5.0 L kg–1 DMI) was not affected, probably because of compensatory seasonal changes in the chemical composition of the pasture, su0 as reduced water-soluble carbohydrates (WSC) (13.0 ± 2.6 vs. 4.9 ± 1.4% DM) or increased neutral detergent fibre (NDF) (48.5 ± 6.1 vs. 57.4 ± 4.6% DM). Although clover saponins might have a defaunation and CH4 inhibitory effect, considerable seasonal or fertiliser-induced changes in clover proportion did not affect rumen protozoal concentrations (8.8 ± 1.6 ×105 mL–1 rumen contents, early season), rumen methanogenesis or microbial growth as suggested from urinary excretion of purine derivatives (6.7 ± 1.7 mmol d–1). In contrast, however, a clear animal effect was found: on average, one animal produced less CH4 than the three others (20.3 vs. 27.6 L kg–1 DMI). Key words: Ryegrass, clover, N fertilisation, season, rumen, methane Mbanzamihigo, L., Fievez, V., da Costa Gomez, C., Piattoni, F., Carlier, L. et Demeyer, D. 2002. Les émissions
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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".