Morphometric Diversity and Genetic Relationship of “Bangkok” Chicken (Thai Game Fowl) in East Java, Indonesia
Bibliographic record
Abstract
Commercial chickens that were selected for both meat and egg production were domesticated from the descendants of red junglefowl (Gallus gallus) species that have been widely spreading in Asia, including Indonesia. There were an estimated 32 strains of local chicken in Indonesia with high morphological diversity. The one of contributors to the diversity of Indonesian local chicken is called "Bangkok" chicken. As a reference to the name of the chicken, it is a suspected descendent of Thai game fowl (Gallus gallus domesticus Linnaeus, 1758) which was introduced in Thailand region many years ago. The objective of this study was to explore the existence of this chicken related to the genetic relationship with the Indonesian local chicken. This study was conducted in East Java Province which covered sample areas Banyuwangi, Pasuruan, and Madiun Regencies. The materials were "Bangkok" chicken offspring with a total of 450 birds. The observed variables consisted of qualitative and quantitative morphological characters, both male and female of adult chickens (1 yr to 1.5 yr old). The highest frequency of the comb shape was Single comb (36.9 %) and the lowest was Rose shape (11.8 %). While the highest frequency of shank colour was blackish-yellow (45.6 %) and the white color (3.6 %) was the lowest. The closest genetic distance base on morphometric diversity was between Pasuruan and Banyuwangi chickens (96.04). It was suspected due to the distance area between Pasuruan and Banyuwangi closer than Madiun and Banyuwangi, while Madiun and Pasuruan was the farthest genetic distance (682.03). Hence, the breeding program of Bangkok chicken based on the genetic distance needs further consideration to prevent inbreeding from occurring. Otherwise, the closest distance should be called for to upgrade the purity of the Bangkok chicken ancestor.
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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 | 0.000 | 0.000 |
| 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".