Assessment of Major Livestock Feed Resources, Feed Balance and Nutritional Value in Soddo District, East Gurage Zone, Central Ethiopia
Bibliographic record
Abstract
The objective of this study was to assess livestock feed resource, feed balance and nutritional values at different agro ecologies of Soddo district, east Gurage zone, central Ethiopia. The kebeles of the district were stratified in to two agro- ecological zones and representative kebeles were selected from the two agro-ecology. .A total of 166 sampled respondents were selected by simple random sampling and data were collected by using semi- structure questionnaire interview and personal observation. The result of the study showed that the livestock production system in the district was a mixed crop-livestock production system. The overall family size per household was 6.72±0.27in high land agro ecology and 7.45±0.33in midland agro ecology , the average cattle population per household was 7.17±0.30 heads (6.84TLU), and the overall land holding was 1.29±0.325 ha per household in this study. . In the highland agro-ecology of the study areas, the major feed resources of cattle were crop residue, natural pasture, and Enset leaf while it was natural pasture and crop residue in midland agro-ecology. Annual feed supply in the district satisfies 68.9% and 79.7% TDM; 44.83% and 39.36% TDCP, and 69.46% and 83.25% TME of the maintenance requirement of livestock in TLU per year in highland and midland agro-ecologies, respectively. Major livestock constraints are shortage of feed, high-cost feed, inadequate extension and training service. Therefore, different intervention strategies are needed to improve the husbandry practices, mainly to improve the feed resource available and. Cattles feed deficit was serious problem and needs strong intervention and attention by the concerned bodies
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".