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dc.contributorAlemayehu, Kefyalewen_US
dc.contributorKebede, Damitieen_US
dc.contributorGetachew, Tesfayeen_US
dc.contributorDeribe, Belayen_US
dc.contributorTaye, Mengistieen_US
dc.contributorTilahun, Mekonnenen_US
dc.contributorKefale, Alemuen_US
dc.contributorZegeye, Asresen_US
dc.contributorBelayneh, Negusen_US
dc.contributorYizengaw, Liuelen_US
dc.creatorTesema, Zelekeen_US
dc.date.accessioned2021-03-05T23:29:15Z
dc.date.available2021-03-05T23:29:15Z
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationZeleke Tesema, Kefyalew Alemayehu, Damitie Kebede, Tesfaye Getachew, Belay Deribe, Mengistie Taye, Mekonnen Tilahun, Alemu Kefale, Asres Zegeye, Negus Belayneh, Liuel Yizengaw. (1/12/2020). Genetic analysis of survival potential of Boer x Central Highland goats under semi-intensive management. Small Ruminant Research, 193.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/12621
dc.description.abstractKid survival is very critical to be profitable in goat production. Thus, this study was conducted to identify genetic and non-genetic factors affecting the survival rate of Boer x Central Highland goat and to estimate genetic parameters for survival using linear animal and Weibull proportional hazard model. Data collected from the Sirinka goat breeding station were utilized for this study. Survival analysis was conducted with a Weibull proportional hazard model using Survival Kit version 6.1 software. The genetic parameters for survival traits were estimated using both Survival Kit fitted sire model and ASREML software fitted animal model with logit function. Four models for survival traits were fitted in order to optimize the model for each trait in the animal model. The loglikelihood ratio test was used for selecting the best-fitted model. The proportion of right-censored kids up to 3, 6 and 12 months of age was 77.8, 66.2 and 57.9 %, respectively. From the total death, about 73.1 % of death occurred up to 140 days of age. Gastrointestinal parasites, septicemia, pneumonia are the leading causes of death. Birth type, birth weight, dam breed and year of birth are the most important risk factors for kid mortality. Based on selected linear animal models, total heritability (h2 t) estimates for the survival of kids at 3, 6 and 12 months of age were 0.006, 0.096 and 0.098, respectively. The maternal permanent environmental effect explains 6% of the phenotypic variation in survival up to weaning age. However, the impact of the maternal effect on post-weaning survival was found to be negligible. The genetic correlation between birth weight and survival to yearling age was 0.55 ± 0.15. The heritability estimates for survival at 3, 6 and 12 months of age from the Weibull proportional hazard model were 0.10, 0.13 and 0.18, respectively. As both pre- and post-weaning survival traits are economically important traits, including in the selection index of the breeding program would be paramount. Besides selection, using a local goat as a dam line and improving management in the flock would be an option to improve the survival of kids.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherElsevier (12 months)en_US
dc.sourceSmall Ruminant Research;193,(2020)en_US
dc.subjectrisk factors selectionen_US
dc.titleGenetic analysis of survival potential of Boer x Central Highland goats under semi-intensive managementen_US
dc.typeJournal Articleen_US
dcterms.available2020-10-01en_US
dcterms.issued2020-12-01en_US
cg.creator.idGetachew, Tesfaye: 0000-0002-0544-6314en_US
cg.subject.agrovocdiseasesen_US
cg.subject.agrovocheritabilityen_US
cg.subject.agrovocgenetic correlationen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerAmhara Regional Agricultural Research Institute, Sirinka Agricultural Research Center - ARARI - SARCen_US
cg.contributor.centerBahir Dar University, College of Agriculture and Environmental Science - BDU - CAESen_US
cg.contributor.centerAndasa Livestock Research Centeren_US
cg.contributor.crpCGIAR Research Program on Livestock Agri-Food Systems - Livestocken_US
cg.contributor.funderInternational Livestock Research Institute - ILRIen_US
cg.contributor.projectCGIAR Research Program on Livestock Agri-Food Systemsen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.date.embargo-end-dateTimelessen_US
cg.contactzeleke.t2007@gmail.comen_US
cg.identifier.doihttps://dx.doi.org/10.1016/j.smallrumres.2020.106253en_US
cg.isijournalISI Journalen_US
dc.identifier.statusTimeless limited accessen_US
mel.project.openhttps://mel.cgiar.org/projects/237en_US
mel.impact-factor1.273en_US
cg.issn0921-4488en_US
cg.journalSmall Ruminant Researchen_US
cg.volume193en_US


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