Potentialities of dairy production of local cattle raised in rural environment in northern Ivory Coast
Bibliographic record
Abstract
This study aims to underline the real dairy performances of local cattle breeds (N’Dama, Mere and Metis) raised in rural conditions. Mere cattle is a crossbreed from crossbreeding between local trypanotolerant taurine breeds (Baoule breed mainly) and zebu breeds from Burkina Faso and Mali, mainly. The designation ‘‘Metis’’ has been given to animals recognized as crossbred, but of unknown parents. Three parameters (Milk production, Duration of lactation and Calving interval) were studied in six rural localities of the northern region of Cote d’Ivoire. The results showed that milk quantity produced by Metis cattle, 262 ± 77 kg was significantly higher (P = 0.042) than those of the two other cattle. Mere cattle with 223.3 ± 64 of milk, was significantly different from N’Dama breed (193.53 ± 46.76 kg). Quantity of milk produced and duration of lactation were significantly influenced (P<0.05) by genetic type (N’Dama, Mere, Metis), age, calving season. But it was not the same case for calving interval. Inadequate natural and technical environment affect the genetic potential of local breeds expression. Adequate management conditions could substantially enhance the dairy performances of local cattle.
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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 | 0.001 |
| 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".