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dc.contributor.authorGetachew, Tesfayeen_US
dc.contributor.authorRischkowsky, Barbaraen_US
dc.contributor.authorRekik, Mouraden_US
dc.contributor.authorMueller, Joaquin Pabloen_US
dc.contributor.authorTessema, Tamiraten_US
dc.contributor.authorSolomon, Dawiten_US
dc.contributor.authorHaile, Aynalemen_US
dc.date.accessioned2023-01-04T21:31:23Zen_US
dc.date.available2023-01-04T21:31:23Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/126580en_US
dc.titleOptimizing breeding structures and related management in community-based goat breeding programs in the Borana pastoral system of Ethiopiaen_US
dcterms.abstractThe study simulated different potential breeding programs to design the optimal breeding structure and operational management structure for Borana goat. It evaluated different scenarios using ZPLAN+ software to maximize the genetic gain, discounted profit and to determine the optimum size of the base population for a community-based breeding program (CBBP) nucleus. The study analyzed the different combinations of objective traits in the index, assessed the effect of changing the breeding buck to doe ratio, evaluated the impact of improved kid survival, and determined the optimum size of the base population for a CBBP. A two-tier breeding program based on 577 does in the CBBP and 1,006 does in the surrounding base flocks was assumed, where selected CBBP bucks were disseminated to the base populations. Combining the weight of kids at six months (SMWT) and the lactation milk yield of dams (LMY) in the selection index resulted in a genetic gain doe−1 generation−1 of 0.13 kg, 0.58 kg, 0.02 and 0.004 for SMWT, LMY, the number of kids that survived to market age (NKS) and the number of kids born (NKB), respectively. This also generated a total discounted profit of US$5.76 doe−1 over 10 year investment period. This result was 30 percent higher than when LMY was evaluated separately and 225.7 percent higher than when SMWT was evaluated separately. The addition of NKB and NKS traits in the selection index did not significantly change the genetic progress and the profit. However, further optimization of the combined SMWT and LMY by improving mating ratio only, and a combined improvement in mating ratio and kid survival rate resulted in a substantial increase in profit to US$11.13 doe−1 and US$15.58 doe−1, respectively over 10 year investment period. The maximum discounted profit was attained when the base population size was 3,579 breeding does. This resulted in accumulated total profit of US$14,776 over the 10 year investment period. A two-tier dispersed CBBP with a unit size of about 577 does in the nucleus and 3,579 does in the base is recommended. In Borana goat community-breeding program, breeding buck need to be selected using an index combining at least own live weight and dam milk yield performance. Essential requirements for ensuring the sustainability of such programs are also discussed in the paper.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.bibliographicCitationTesfaye Getachew, Barbara Rischkowsky, Mourad Rekik, Joaquin Pablo Mueller, Tamirat Tessema, Dawit Solomon, Aynalem Haile. (1/2/2022). Optimizing breeding structures and related management in community-based goat breeding programs in the Borana pastoral system of Ethiopia. Livestock Science, 256.en_US
dcterms.formatPDFen_US
dcterms.issued2022-02en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-NC-ND-4.0en_US
dcterms.publisherElsevier BVen_US
dcterms.subjectgoat meaten_US
dcterms.subjectgenetic gainen_US
dcterms.subjecteconomic valueen_US
dcterms.subjectgoat milken_US
dcterms.subjectsheepen_US
dcterms.subjecteconomic benefiten_US
dcterms.subjectbreeding objectiveen_US
dcterms.subjectno povertyen_US
dcterms.subjectpoverty reduction, livelihoods and jobsen_US
dcterms.typeJournal Articleen_US
cg.contributor.affiliationInternational Center for Agricultural Research in the Dry Areasen_US
cg.contributor.affiliationInternational Livestock Research Instituteen_US
cg.contributor.affiliationNational Institute for Agricultural Technologyen_US
cg.contributor.affiliationOromia Agricultural Research Institute, Ethiopiaen_US
cg.identifier.doihttps://doi.org/10.1016/j.livsci.2021.104819en_US
cg.isijournalISI Journalen_US
cg.coverage.regionEastern Africaen_US
cg.coverage.countryEthiopiaen_US
cg.coverage.iso3166-alpha2ETen_US
cg.subject.impactAreaPoverty reduction, livelihoods and jobsen_US
cg.subject.sdgSDG 1 - No povertyen_US
cg.creator.identifierTesfaye Getachew Mengistu: 0000-0002-0544-6314en_US
cg.creator.identifierBarbara Rischkowsky: 0000-0002-0035-471Xen_US
cg.creator.identifierMourad Rekik: 0000-0001-7455-2017en_US
cg.creator.identifierDawit Solomon: 0000-0002-6839-6801en_US
cg.creator.identifierAynalem: 0000-0001-5914-0487en_US
cg.contributor.donorInternational Center for Agricultural Research in the Dry Areasen_US
cg.contributor.donorCGIAR Research Program on Climate Change, Agriculture and Food Securityen_US
cg.contributor.donorCGIAR Research Program on Livestock Agri-Food Systemsen_US
cg.contributor.donorCGIAR Trust Funden_US
cg.reviewStatusPeer Reviewen_US
cg.journalLivestock Scienceen_US
cg.issn1871-1413en_US
cg.issn1878-0490en_US
cg.volume256en_US
cg.subject.actionAreaResilient Agrifood Systemsen_US
cg.contributor.initiativeSustainable Animal Productivityen_US


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