Estimates Of Genetic Parameters, Genetic Trends And Optimizing Community Based Breeding Of Abera Sheep Breed, Ethiopia
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Title |
Estimates Of Genetic Parameters, Genetic Trends And Optimizing Community Based Breeding Of Abera Sheep Breed, Ethiopia
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Creator |
Alemayehu, Amelmal
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Subject |
genetic parameters
goal 1 no poverty genetic trends estimated breeding value growth traits poverty reduction, livelihoods and jobs community based sheep breeding optimize selection intensity source of breeding ewe |
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Description |
Three combined investigations were carried out with the objectives of 1) estimating the genetic parameters and genetic trends for growth traits of Abera sheep in six breeder cooperatives established under community-based breeding programs (CBBPs); 2) participatory basis of comparison of breeding objectives and selection criteria of farmers from CBBPs and farmers from traditional sheep breeding practices; and 3) optimization of CBBPs of Abera sheep targets to increase genetic gain and economical profits with nine different breeding alternatives, considering number of candidate breeding ram and male to female sex ratio. A total of 2901 birth weight (BWT) 2626 weaning weight (WWT), 2261 six-months weight (SMWT) and 1603 yearling weights (YWT) records were collected between the year 2013 and 2019 were used for the analysis. General linear model consisting of the fixed effects of sex, breeder cooperative, season and birth type was used to analyze growth traits. As sheep in each CBBP is bred with by its own breeding ram, variance components and resulting genetic parameters were estimated, within each breeder cooperative, using univariate animal model based on restricted maximum likelihood method using WOMBAT software. Multivariate analysis was also employed to compute correlation estimates among growth traits. Six different models, by including or excluding maternal additive genetic effects, maternal permanent environmental effect, and covariance between direct-maternal additive genetic effects were fitted and the most appropriate model was selected based on a Log-Likelihood Ratio Test (LRT) and Akaike’s Information Criterion (AIC) were then used to select the most appropriate univariate model for each trait, which was finally used to estimate the studied parameters. Results indicated that all fixed effects influenced (P |
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Date |
2023-01-20T17:46:06Z
2023-01-20T17:46:06Z |
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Type |
Thesis
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Identifier |
Amelmal Alemayehu. (19/12/2022). Estimates Of Genetic Parameters, Genetic Trends And Optimizing Community Based Breeding Of Abera Sheep Breed, Ethiopia.
https://hdl.handle.net/10568/127703 |
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Language |
en
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Rights |
CC-BY-SA-4.0
Open Access |
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Format |
application/pdf
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