Productivity of Grazing Holstein Cows in Atlantic Canada
Bibliographic record
Abstract
The feasibility and profitability of management-intensive grazing (MIG) in Atlantic Canada was studied. Productivity of MIG plus concentrate (1 kg:3 kg of milk) was compared with that of confinement feeding (Confined) using haylage (1996) or corn silage (1997) as 50% of dry matter (DM) in a total mixed ration (TMR). Each year, two groups of 10 Holsteins were used. In 1996, pasture CP content increased from 15.2 to 18.0% of DM, while those of acid detergent fiber (ADF) and neutral detergent fiber (NDF) decreased (33.6 to 23.8%, and 55.6 to 35.4%, respectively) between July 10 and August 28. In 1997, pasture crude protein (CP) content decreased from 30.0 to 15.7%, while ADF and NDF increased (24.9 to 35.8% and 53.5 to 67.4%, respectively) from June 16 to July 14. Because pasture biomass was reduced by winter-kill followed by drought in 1997, MIG cows were supplemented with TMR. Estimated pasture DM intakes ranged from 14.2 to 18.1 kg/d per cow. Milk yields averaged 29.5 and 30.4 +/- 0.43 kg/d in 1996 and 32.5 and 31.8 +/- 0.61 kg/d in 1997 for Confined and MIG cows, respectively. In 1996, the dietary treatment x time interaction was significant. Cows in MIG had higher yields than those in Confined later in the trial, while fat and CP concentrations were usually lower in milk from MIG cows. Lower body weights resulted with MIG. Few differences between production systems were significant in 1997. Milk revenue (Canadian $/d) from Confined cows was higher (14.03 vs. 13.77 in 1996 and 16.10 vs. 15.39 in 1997), but partial profitability of the MIG system was marginally greater in both years.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".