Abstract:Using multi-stage purposive sampling technique, 270 households who owned cattle were selected from three agro-ecologies to assess feed resources potential and to evaluate the nutritional quality majorly used feed resources. Structured questionnaire, field observation and focus group discussion were used to collect detailinformation. Conversion factors were used to quantify each feed recourse yield potential per a year in the district. Ten majorly usedcattle feed sampleswere taken to evaluate their nutritional … Show more
“…It obtains a maximum of 800 and a minimum of 500 mm of rainfall annually [ 41 ]. The temperature varies from a minimum of 12 °C to a maximum of 33 °C annually [ 42 ]. Fig.…”
“…It obtains a maximum of 800 and a minimum of 500 mm of rainfall annually [ 41 ]. The temperature varies from a minimum of 12 °C to a maximum of 33 °C annually [ 42 ]. Fig.…”
Background
A cross‐sectional survey study was conducted from September 2020 to April 2021. A total of 217 households were randomly selected. The data collection instruments were structured questionnaires: focus group discussion and key informant interviews. Data were coded, entered and analyzed using Statistical Package for the Social Sciences (SPSS) version 20 software. Ranking indexes as well as binary logistic regression analysis were used to look for the relationship between dependent and independent variables.
Result
The present study showed that season of calving, disease and parasite challenges, housing conditions and shortage of land for forage production with an index value of 0.180, 0.154, 0.153 and 0.126, respectively, were the most important constraints affecting milk production potential. Likewise, foot and mouth disease [adjusted odds ratio (AOR) = 0.001, 95% confidence interval (CI) = (0.000–0.016)], internal parasites [AOR = 0.003, 95% CI = (0.000–0.046)], shortage of grazing land [AOR = 0.017, 95% CI = (0.002–0.148)], summer season of calving [AOR = 0.012, 95% CI = (0.002–0.088)], overall cattle herd composition [AOR = 0.002, 95% CI = (0.000–0.025)], straw shed [AOR = 0.046, 95% CI = (0.006–0.327)] and open yard [AOR = 0.003, 95% CI = (0.000–0.183)] housing conditions were significantly associated with milk production status at p < 0.001 and p < 0.05.
Conclusion
The current study indicated that milk production status was poor. Therefore, suitable government policy support and provision of subsidies, genuine participation of dairy producers with governmental and non‐governmental organizations are imperative to improve livestock productivity. Furthermore, future research and development actions should find solutions to decrease the bottlenecks so that the massive potentials of the area could be exploited to its maximum and could advance the livelihood of the community.
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