2014
DOI: 10.4236/oalib.1100589
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Genetic Parameter Estimates for Growth and Reproductive Trait of Sheep for Genetic Improvement and Designing Breeding Program in Ethiopia: A Review

Abstract: Abstractbreed is nonexistence.

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Cited by 7 publications
(9 citation statements)
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“…The moderate to high heritability estimates for growth traits indicate that sufficient additive genetic variance existed for these traits, which could be used for selection within the population as was done in our CBBPs. Heritability estimates for growth traits are generally moderate to high (Duguma et al, 2002;Masood Tariq et al, 2010;Mekuriaw and Haile, 2014). However, these previous reports, unlike ours, are all based on on-station management where environmental variances are expected to be minimal.…”
Section: Inbreeding Heritability and Genetic Correlationmentioning
confidence: 53%
“…The moderate to high heritability estimates for growth traits indicate that sufficient additive genetic variance existed for these traits, which could be used for selection within the population as was done in our CBBPs. Heritability estimates for growth traits are generally moderate to high (Duguma et al, 2002;Masood Tariq et al, 2010;Mekuriaw and Haile, 2014). However, these previous reports, unlike ours, are all based on on-station management where environmental variances are expected to be minimal.…”
Section: Inbreeding Heritability and Genetic Correlationmentioning
confidence: 53%
“…Obviously, heritability and genetic correlations are important information among the factors determining genetic improvement in any trait (Mekuriaw and Haile, 2014). So, the first step for introducing a new selection criteria into a breeding programme is the calculation of the genetic parameters of the trait.…”
Section: Resultsmentioning
confidence: 99%
“…Knowledge of the particular trait and phase of the animals' growth, which is the basis for selection, is the most important one. The potential for genetic improvement is largely dependent on the genetic parameters of the growth weight trait upon which selection may be applied (Mekuriaw and Haile, 2014).…”
Section: Resultsmentioning
confidence: 99%
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