Bibliographic record
Abstract
The results of the study of milk productivity and lactation rates of fi rst-calf cows are presented. The research into fi rst-calf cows of black-andwhite Holstein breed, belonging to sire lines of Wis Ideal 1013415 and Refl ection Sovereign 198998 was conducted in 2018 in Novosibirsk region. The number of cows under study was 64, the period of the study covered 305 days of lactation. Monitoring of milk production, milk fl ow intensity, fat and protein content was carried out monthly. The research materials were analyzed for groups of cows depending on their sire line and productivity for single and daily milk yield, fat and protein content, and dynamics of milk ejection for the fi rst 3 minutes of milking. The highest daily milk yield in both lines was observed in the second month of lactation. In the fourth and fi fth months of lactation, the average daily milk yield of Refl ection Sovereign cows was signifi cantly higher (р < 0.001) than that of their peers of the Vis Ideal line, by 1.3 kg. During the lactation period, the productivity of the Vis Ideal and Refl ection Sovereign cows was almost the same: milk yield – 8296 and 8220 kg, fat content – 4.02 and 4.06%, protein – 3.36 and 3.35% and milk fl ow intensity – 2.70 and 2.78 kg/min, respectively. In the second and third months of lactation, cows of both lines had a decrease in the content of fat, protein and intensity of milk fl ow with a gradual increase in these indices in the fourth and fi fth months of lactation. First-calf cows of the black-and-white breed of Canadian selection of different sire lines showed a high level of milk productivity and proved to be suitable for further breeding work.
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 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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".