Rapid Assessment for Livestock Disease Mapping in Ojojie Integrated Water Shed Management Doyogena, District of Southern EthiopiaMelese Yilma1*, Fitsum Tessema1, Tewodros Getachew1, Tucho Tumato1, Shimelis Mengistu1, Tesegay Bekele1, Addisu Jimma1 and Asert Tera2
- *Corresponding Author:
- Melese Yilma
Areka Agricultural Research Center
PO Box 79, Areka, Ethiopia
E-mail: [email protected]
Received date: July 24, 2015; Accepted date: January 28, 2016; Published date: January 30, 2016
Citation: Yilma M, Tessema F, Getachew T, Tumato T, Mengistu S, et al. (2016) Rapid Assessment for Livestock Disease Mapping in Ojojie Integrated Water Shed Management Doyogena, District of Southern Ethiopia. J Veterinar Sci Technol 7:300. doi:10.4172/2157-7579.1000300
Copyright: © 2016 Yilma M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The objective of this paper was rapid assessment of major health problem for disease mapping on integrated water shad management system and the study was undertaken in farmers dissection group formed in the water shade delineated site ojojie model water shade. As to livestock production constraint disease challenge was most important next to feed and indigenous breed genetic performance in the management system. In the area as to the major livestock production constraint season play great role in association with rainfall pattern. Overstocking in the pasture and traditional husbandry practice provoke livestock disease challenge and outbreak in the management system. For the herd entry and exit rout birth, market, family gift, outbreak mortality (natural death lose) and government and NGO program was identified as the main source for disease and infection challenge in the management system. Seasonal disease distributions and livestock production variation is manly associate with the disease enzootic stability, feed gap, and environmental condition variability. The study was first report to the area can be used as bench mark for disease laboratory diagnosis and conformation.