Factors Affecting Kenya Alpine Dairy Goat Milk Production in Nyeri Region
Bibliographic record
Abstract
<p>In Kenya use of exotic dairy goats in breeding programmes for smallholder production systems has become popular, but information on the milk production is scarce. A study was carried out to assess the milk yield of dairy goats reared in high potential and semi arid areas of Nyeri County. This involved 190 smallholder farmers rearing Alphine dairy goats in Nyeri County and registered with Dairy Goat association of Kenya (DGAK). Which formed 100% sampling of the population under study. The grade, feeding practices and age of the dairy goats were evaluated. The dairy goat average milk production was 1.90 litres per day, with the appendix grade in Kieni East giving the highest production of 2.69 liters per day while foundation grade in Mukurweini gave the lowest, 0.98 litres per day. The higher milk production in Kieni East, which is a semi arid area, was noted to be due to good feeding practices where 43% of the farmers used concentrates during milking and also 48% supplemented the feed with minerals. In the high potential area of Mukurweini none of the farmers used mineral supplements with only 5% using concentrates during milking. The age of the dam significantly affected the average milk production, with the onset of production being the age of 2.0 years, reaching the peak at the age of 6.5 years. Kieni East, gave the highest production of 4.2 litres at the age of 6 years. The results demonstrated that the low-input farming conditions affected the Alphine goats milk production.</p>
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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 | 0.002 | 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".