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Goraga et al  


Full Length Research Paper

Swine Production, Productivity and Breeding Practices in Ethiopia


1Zemelak Goraga*, 1Meskerem Adamu, 2Seid Ali, 2Alemayehu Guteta, 2Mammo Mengesha, 3Gustavo J. M. M. Lima


1Ethiopian Biotechnology Institute, P.O.Box:5954, Addis Ababa, Ethiopia.
2Ethiopian Institute of Agricultural Research at DZARC, P.O. Box 32, Debrezeit, Ethiopia.
3Embrapa Swine and Poultry, P.O. Box 21, Concordia SC, 89700-000, Concordia, Brazil.


Corresponding author email: zemelaks@yahoo.com

Received June 24, 2017; Accepted July 3, 2017


The study was undertaken to characterize breed features, reproductive performance, breeding practice, breed selection criteria and herd replacement in Ethiopian swine production systems. A total of 66 swine farms were selected in six major towns to collect quantitative and qualitative data on the studied parameters. A multi-stage sampling procedure was employed to select sampling areas and respondents. A standardized questionnaire was used to collect the data using person to person interview. Data were analyzed using appropriate statistical procedures of SAS and SPSS software packages. The study revealed that Ethiopian swine breeds had diverse coat colors where white coat color was the predominant one. Average reproductive performances of swine herds for age at first puberty, litter size and gestation length were ranged from 9 – 10 (months), 8 – 10 (piglets per farrowing) and 3 to 3.5 (months), respectively. None of these reproductive performances were significant (P>0.05) across the three scales of production. About 76 – 86% of the total interviewed swine producers did select sires and dams for breeding. Dams section was mainly based on health status, body conformation and mothering ability; whereas, sires selection was based on health status, body conformation and coat color. Findings of this study can support the development of breeding strategies aiming to improve Ethiopian swine production and productivity.


Keywords: Breeding practice, Ethiopian swine, Production Performance, Selection criteria.

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