Dairy Farming Technologies and Tharparkar Native Cattle Breed Imrovement for High Fat-Quality-Milk Yield
Bibliographic record
Abstract
The opening balance of Tharparkar cattle as on 01.04.2011 was 154 heads (30 males and 124 females). The M:F ratio of new calvings was 1.00:0.95. The closing balance of the Tharparkar cattle herd as on 31.03.2012 was 98 cattle heads (15 males and 83 females). The overall mortality percent in Tharparkar herd was 4.62%. The overall conception rate in Tharparkar herd was 64.78%. The figures in heifer and adult groups were 63.63 and 65.30%, respectively. The overall calving abnormalities were 34.15%, which included 7.32% abortions, 2.44% unseen abortinos, 7.32 retained placenta, 2.44% premature births, 9.76% prolapses and 4.88% still first calving, service period, dry period and calving, service period, dry period and calving interval were 1056.67±90.22, 230.34±20.63, 292.05±118.36 and 472.46±28.95 days, respectively.Tharparkar cattle produced 21679 kg milk during the current year. Means for overall wet and herd averages were 3.39 and 1.48 kg, respectively. On the basis of analysis of 384 milk samples, the overall Fat, SNF and Total Solids were 4.34, 8.77 and 13.12% respectively.The least squares’ means (LSM) for overall live body weights at birth, 3, 6, 12, 18 and 24 months of age were 21.27±0.48, 56.18±2.33, 108.52±3.27, 171.34±7.77, 230.79±2.56 and 260.06±3.98 kg, respectively. The opening balance as on 01/04/2010 was 143 heads (23 males and 120 females). The Tharparkar produced 38,001 kg milk during current yearwhich was 1,546 kg more than that of previous year (36,455.0 kg). Means for overall wet and herd averages were 3.86 and 1.50 kg, respectively, under suckling system. On an average, 28.25 of total adult females were in the milk during the year, 2010-11. On the basis of 574 milk samples the overall fat, SNF, and total solids % were 4.52, 8.84 and 13.36, respectively.
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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 | 0.001 | 0.001 |
| 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) | 0.017 | 0.002 |
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".