Genetic Differentiation among Nigerian Indigenous Goat Populations
Bibliographic record
Abstract
A total of 200 goats and 25 microsatellite markers proposed by the Food and Agricultural Organization and the International Society for Animal Genetics (FAO-ISAG) were used to determine the genetic diversity of three breeds of the Nigerian indigenous goats, namely Sahel (60), Red Sokoto (60), West African Dwarf (60) and one strain; Kano Brown (20). Genetic differentiation between the breeds and strain ranged from 0.011 to 0.037, and the least genetically differentiated populations were Kano Brown and Red Sokoto. Molecular variations were observed to be higher within populations (96%) than among populations (4%), which suggest higher heterozygosity within populations. This study showed that the Nigerian goats are admixed due to extensive cross-breeding and high gene flow amongst the breeds, and that the goats are geographically distributed in two major locations. Measures to conserve the uniqueness/distinctiveness of the Nigerian goat breeds should be sought, and gene flow between populations should be controlled by adopting effective breeding and management practices.
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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 | 0.001 | 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 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".