MORPHOMETRIC CHARACTERIZATION OF LOCAL AND EXOTIC CHICKEN GENOTYPES IN THREE AGRO-ECOLOGIES OF NORTHERN ETHIOPIA
Bibliographic record
Abstract
The northern part of Ethiopia is endowed with local and exotic breeds of chicken; however, their morphometric characterization needs to be done to support future improvements and conservation. Hence, the study was conducted in three agro-ecologies (lowland, midland, and highland) of Northern Ethiopia to assess the morphometric traits of local and exotic (Naked-neck) chicken genotypes. The experiment was designed as 4x2 factorial with Chicken genotype (4 levels: local from each of lowland, midland and highland, and exotic from lowland) and Sex (2 levels: female and male) being the factors. ANOVA was conducted to determine the main and interaction effects of these factors on 21 morphometric traits. The results revealed significant interaction of Chicken genotype and Sex on all morphometric traits other than skull length, skull width, skull index and neck length highlighting the presence of vast sex specific differences among the genotypes. Apart from comb, earlobe and beak indices and wattle width, male Naked-neck (from lowland) have significantly higher values than the other seven combinations. The morphometric variations of chicken genotypes unveiled in this study are good indicators of genetic diversity of chicken population in Northern Ethiopia and calls for designing community based genetic improvement program to maximize desirable traits. Key words: Highland, Lowland, Midland, Quantitative trait
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".