Productive and Reproductive Performances of Indigenous Lime and Parkote Buffaloes in the Western hills of Nepal
Bibliographic record
Abstract
Livestock is an integral part for the most rural livelihoods in Nepal. A very high proportion of poor and marginalized farmers depend on livestock as main or supplemental resources for their income. Cattle and buffalo contribute to more than 70% of the livestock sector. The Lime, Parkote and Gaddi are the indigenous buffalo breeds of Nepal. The productive and reproductive performances of indigenous buffalo breeds, Lime and Parkote, were studied in Regional Agricultural Research Station (RARS), Lumle in Nepal. The lactation data of the indigenous buffaloes recorded by RARS livestock farm for 14 years (from 2000 to 2014) was collected and analyzed to assess the production and reproduction traits. The productive performance was 964.0±33.0 litre/lactation in Lime and 878.5±66.3 litre/lactation in Parkote, while a daily milk yield of Lime was 3.2±0.1 litre/day and that of Parkote was 2.9±0.2 litre/day. The milk constituents of Lime were 9.0% fat, 9.2% solids not fat (SNF) and 3.8% protein. The milk contents of Parkote were 8.9% fat, 9.8% SNF and 4.0% protein. The maximum mating was found in October (30%), while the minimum mating was in June (1%) in both the breeds. The calving time of Lime and Parkote was maximum in September (36%). The Lime and Parkote buffaloes are high potential milking animals in the western hills of Nepal. Furthermore, the value chain and organic production approaches would be very useful for the conservation and utilization of these indigenous buffaloes
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".