Buffalo Selection in Bali Province, Indonesia: Performance and Quantitative Trait Analysis
Bibliographic record
Abstract
Background: The selection program is one of the efforts that can be made to select livestock as superior breed stock. The selection program can be carried out by looking at the performance of quantitative traits in buffalo by measuring several economically valuable traits referring to the Indonesian National Standard (SNI 7706.1: 2011) regarding superior young bull buffalo breeds. Methods: The research was carried out by directly measuring the performance of quantitative characteristics of buffalo in three regencies out of nine regencies in Bali Province, Indonesia, namely: Jembrana Regency, Tabanan Regency, and Buleleng Regency. Data analysis was carried out descriptively to obtain average quantitative characteristics and calculate the magnitude of population diversity. Results: The results obtained were that the performance of quantitative traits in male and female buffalo in Bali Province, Indonesia, was higher than the Indonesian National Standard (SNI 7706.1: 2011) regarding superior young bull buffalo breeds. The population diversity of quantitative characteristics of male buffalo aged 2-3 years old in Bali province is categorized as diverse (varied). On the other hand, male buffalo aged >3 years are in the uniform (homogeneous) category, as are female buffalo aged 2-3 years and >3 years. Conclusion: The buffalo in the province of Bali, Indonesia, were suitable for use as a breed, and effective selection was carried out on the male buffalo population aged 2-3 years. Suggestions require efforts to increase public interest in keeping buffaloes by providing protection and appreciation to breeders who want to keep buffaloes, especially female 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 | 0.001 | 0.001 |
| 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) | 0.001 | 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".