Production Objectives, Reproductive Performance and Selection Criteria of Indigenous Sheep Types in Meket and Gidan Districts, North Wollo Zone, Ethiopia
Tarekegn Demeke,
Tesfaye Getachew,
Elias Bayou
Issue:
Volume 8, Issue 1, February 2020
Pages:
1-6
Received:
9 December 2019
Accepted:
7 January 2020
Published:
17 January 2020
Abstract: This study was aimed to generate comprehensive information on production objectives, reproductive performance and selection criteria of indigenous sheep types under farmer’s management condition in Meket and Gidan districts, North Wollo Zone. Ethiopia. Multistage purposive sampling was employed based on the potential of sheep production. Accordingly 6 rural kebeles (3 from each district) were considered purposively. About 240 households (120 from each district) were used for household survey. Statistical package for social sciences (SPSS 16.0 2007) was used to analyze data. The main objectives of keeping sheep were for income generation followed by meat consumption across the districts compared. Sexual maturity age of Meket ram was 9.04 months whereas Gidan ram was 8.51 months. The average age at first lambing, lambing interval and lifetime lamb crop of Meket Sheep were 16.04 months, 9.14 months and 8.92 lambs, respectively. The corresponding values for Gidan Sheep were 15.57 months, 8.66 months and 9.77 lambs, respectively. Color, growth character and appearance were the most important traits considered by farmers to select breeding rams in both study districts. Ages at first sexual maturity, color, lamb growth and pedigree were the most important trait in choosing of breeding ewes in Meket district. Whereas Ages at first sexual maturity, color, tail type/length and pedigree were the most important trait in choosing of breeding ewes in Gidan district. Therefore, this finding was put baseline for understanding about production objective, Reproductive performance and selection criteria of Sheep and serve as a base for designing a sustainable breeding programme and selection strategies in the study area.
Abstract: This study was aimed to generate comprehensive information on production objectives, reproductive performance and selection criteria of indigenous sheep types under farmer’s management condition in Meket and Gidan districts, North Wollo Zone. Ethiopia. Multistage purposive sampling was employed based on the potential of sheep production. Accordingl...
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Analysis of TB Case Counts in Southwest Ethiopia Using Bayesian Hierarchical Approach of the Latent Gaussian Model
Endale Alemayehu,
Reta Habtamu,
Akalu Banbeta
Issue:
Volume 8, Issue 1, February 2020
Pages:
7-16
Received:
10 January 2020
Accepted:
26 February 2020
Published:
19 May 2020
Abstract: Introduction: Tuberculosis is the long-lasting infectious disease caused by bacteria called Mycobacterium tuberculosis. Globally, in 2016 alone, approximately 10.4 million new cases have occurred. Africa has shared around 25% of the incidence and specifically in Ethiopia around 82 thousand was caught by Tuberculosis. Methods: The study has been conducted in, south west Ethiopia, Jimma zone of entire districts and the data is basically secondary which is obtained from Jimma zone health office. The counts of Tuberculosis case counts have been analyzed with factors like gender, HIV co-infection, Population density and age of patients. The Integrated Nested Laplace Approximation (INLA) method of Bayesian approach which is fast, deterministic and promising alternative to MCMC method was used to determine posterior marginal of the parameters of interest. Results: The Latent Gaussian Model (LGM) of Poisson distributional assumption of Tuberculosis cases that includes both fixed and random effects with penalized complexity priors appeared to be the best model to fit the data based on the Watanabe Akaike Information Criteria and other supportive criteria. Using Kullback-Leibler Divergence criteria, the under-used simplified Laplace approximation indicated that posterior marginal was well approximated by normal distribution. The predictive value of the best model is not far deviated from the actual data based on the Conditional Predictive Ordinate and the probability integral transform. Conclusions: All the variables were significant under this model and the posterior marginal was well approximated by standard Gaussian. The PIT indicated that predictive distribution was less affected by outliers and the model was reasonably well.
Abstract: Introduction: Tuberculosis is the long-lasting infectious disease caused by bacteria called Mycobacterium tuberculosis. Globally, in 2016 alone, approximately 10.4 million new cases have occurred. Africa has shared around 25% of the incidence and specifically in Ethiopia around 82 thousand was caught by Tuberculosis. Methods: The study has been con...
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