Estimation of co-variance components, genetic parameters and genetic trends of reproductive traits in community-based breeding program of Bonga sheep in Ethiopia

cg.contactebaduareb1@gmail.comen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerJimma University - JUen_US
cg.contributor.centerBonga Agricultural Research Center - BARCen_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.coverage.countryETen_US
cg.coverage.regionEastern Africaen_US
cg.creator.idGetachew, Tesfaye: 0000-0002-0544-6314en_US
cg.creator.idHaile, Aynalem: 0000-0001-5914-0487en_US
cg.identifier.doihttps://dx.doi.org/10.5713/ajas.20.0413en_US
cg.isijournalISI Journalen_US
cg.issn2765-0189en_US
cg.issue9en_US
cg.journalAnimal Bioscienceen_US
cg.subject.agrovocreproductive performanceen_US
cg.volume34en_US
dc.contributorGetachew, Tesfayeen_US
dc.contributorKirmani, Manzooren_US
dc.contributorG/silase, Tegbaruen_US
dc.contributorHaile, Aynalemen_US
dc.creatorAreb, Ebaduen_US
dc.date.accessioned2021-01-29T23:53:42Z
dc.date.available2021-01-29T23:53:42Z
dc.description.abstractObjective The objectives of the study were to evaluate reproductive performance and selection response through genetic trend of community-based breeding programs (CBBPs) of Bonga sheep. Methods Reproduction traits data collected between 2012 and 2018 from Bonga sheep CBBPs. Phenotypic performance was analyzed using the General Linear Model procedures of SAS. Genetic parameters were estimated by univariate animal model for age at first lambing (AFL) and repeatability models for lambing interval (LI), litter size (LS) and annual reproductive rate (ARR) traits using restricted maximum likelihood method (REML) of WOMBAT. For correlations bivariate animal model was used. Best model was chosen based on likelihood ratio test (LRT). The genetic trends were estimated by the weighted regression of the average breeding value of the animals on the year of birth/ lambing. Results The overall least squares mean ± SE of AFL, LI, LS and ARR were 375±12.5, 284±9.9, 1.45±0.010, and 2.31±0.050, respectively. Direct heritability estimates for AFL, LI, LS and ARR were 0.07±0.190, 0.06±0.120, 0.18±0.070, and 0.25±0.203, respectively. The low heritability for both AFL and LI showed that these traits respond little for selection program rather highly depend on animal management option. The annual genetic gains were -0.0281days, -0.016days, -0.0002 lambs and 0.0003 lambs for AFL, LI, LS and ARR, respectively. Conclusion Implication of the result to future improvement program was improving management of animals, conservation of prolific flocks and out scaling the CBBP to get better result.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/9764a20cc9b8d32422cd603211d42210/v/75f940042ffa3fd5952a9914c15b97been_US
dc.identifier.citationEbadu Areb, Tesfaye Getachew, Manzoor Kirmani, Tegbaru G/silase, Aynalem Haile. (1/9/2021). Estimation of co-variance components, genetic parameters and genetic trends of reproductive traits in community-based breeding program of Bonga sheep in Ethiopia. Animal Bioscience, 34 (9), pp. 1451-1459.en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/12444
dc.languageenen_US
dc.publisherASIAN-AUSTRALASIAN ASSOC ANIMAL PRODUCTION SOCen_US
dc.rightsCC-BY-4.0en_US
dc.sourceAnimal Bioscience;34,(2020) Pagination 1451-1459en_US
dc.subjectrecordingen_US
dc.subjectgenetic trenden_US
dc.subjectgenetic parameteren_US
dc.subjectbonga sheepen_US
dc.titleEstimation of co-variance components, genetic parameters and genetic trends of reproductive traits in community-based breeding program of Bonga sheep in Ethiopiaen_US
dc.typeJournal Articleen_US
dcterms.available2020-11-20en_US
dcterms.extent1451-1459en_US
dcterms.issued2021-09-01en_US
mel.impact-factor2.509en_US
mel.project.openhttps://mel.cgiar.org/projects/237en_US

Files