Features and status of miniature indigenous germplasm of cattle- Malnad Gidda
Bibliographic record
Abstract
Malnad Gidda cattle are small size animals and distributed in Malnad area of Karnataka. The population of the breed is about 7-8 lakh in Karnataka but is showing a declining trend. This breed has not been included in the list of recognized cattle breeds of India due to lack of information about the breed. A survey was undertaken in the 23 villages of 3 talukas of Shimoga district and 4 talukas of Chickmagalur district of Kamataka state. Data were collected for management, phenotypic characteristics, morpho-metric traits, production and reproductive performance on 398 animals belonging to 41 farmers. There were 5 coat colours found in these animals (black, brown, red, fawn and white, sometimes mixture of any 2) but black colour was predominant. Average body length, height at withers and chest girth were 87.04±O.65, 90.29±0.46, and l18.36±O.67 cm for cows and 86.53±1.93, 91±1.47 and 118.47±3.93 cm for adult males, respectively, indicated the small size of Malnad Gidda breed among all the known cattle breeds of India. The herd size varied from 3 to 35 animals. The average daily milk yield of elite cows was obtained as 2.11 kg. The age at first service in males, age at first calving of cows, service period, dry period and calving interval, were 38.06±1.24 months, 45.41±1.22 months, 8.38±1.03 months, 7.17±O.53 months and 17.02±O.68 months, respectively. Animals of this breed are playing a significant role in the rural livelihood of Malnad area of Karnataka in terms of draught, milk and manure. There is a need to take up systematic genetic improvement programme and sustainable measures for the conservation of population of this breed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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".