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dc.contributorRischkowsky, Barbaraen_US
dc.contributorRekik, Mouraden_US
dc.contributorMueller, Joaquin Pabloen_US
dc.contributorTessema, Tamiraten_US
dc.contributorSolomon, Dawiten_US
dc.contributorHaile, Aynalemen_US
dc.creatorGetachew, Tesfayeen_US
dc.date.accessioned2023-01-04T21:30:12Z
dc.date.available2023-01-04T21:30:12Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/10c4c17ae83942732122e7e9545eaa56en_US
dc.identifier.citationTesfaye 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
dc.identifier.urihttps://hdl.handle.net/20.500.11766/67872
dc.description.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
dc.formatPDFen_US
dc.languageenen_US
dc.publisherElsevier (12 months)en_US
dc.rightsCC-BY-NC-ND-4.0en_US
dc.sourceLivestock Science;256,(2022)en_US
dc.subjecteconomic benefiten_US
dc.subjectbreeding objectiveen_US
dc.subjectpoverty reduction, livelihoods and jobsen_US
dc.titleOptimizing breeding structures and related management in community-based goat breeding programs in the Borana pastoral system of Ethiopiaen_US
dc.typeJournal Articleen_US
dcterms.available2022-02-01en_US
dcterms.issued2022-02-01en_US
cg.creator.idGetachew, Tesfaye: 0000-0002-0544-6314en_US
cg.creator.idRischkowsky, Barbara: 0000-0002-0035-471Xen_US
cg.creator.idRekik, Mourad: 0000-0001-7455-2017en_US
cg.creator.idSolomon, Dawit: 0000-0002-6839-6801en_US
cg.creator.idHaile, Aynalem: 0000-0001-5914-0487en_US
cg.subject.agrovocgoat meaten_US
cg.subject.agrovocgenetic gainen_US
cg.subject.agrovoceconomic valueen_US
cg.subject.agrovocgoat milken_US
cg.subject.agrovocgoal 1 no povertyen_US
cg.subject.agrovocSheepen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerInternational Livestock Research Institute - ILRIen_US
cg.contributor.centerNational Institute for Agricultural Technology - INTAen_US
cg.contributor.centerOromia Agricultural Research Institute, Yabalo Dryland and Pastoral Agricultural Research Centre - IQQO - YD&PARCen_US
cg.contributor.crpResilient Agrifood Systems - RAFSen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.funderCGIAR Research Program on Climate Change, Agriculture and Food Security - CCAFSen_US
cg.contributor.funderCGIAR Research Program on Livestock Agri-Food Systems - Livestocken_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionEastern Africaen_US
cg.coverage.countryETen_US
cg.contactT.Getachew@cgiar.orgen_US
cg.identifier.doihttps://dx.doi.org/10.1016/j.livsci.2021.104819en_US
cg.isijournalISI Journalen_US
dc.identifier.statusOpen accessen_US
mel.impact-factor1.929en_US
cg.issn1871-1413en_US
cg.issn1878-0490en_US
cg.subject.sdgSDG 1 - No povertyen_US
cg.subject.actionAreaResilient Agrifood Systemsen_US
cg.subject.impactAreaPoverty reduction, livelihoods and jobsen_US
cg.journalLivestock Scienceen_US
cg.volume256en_US
cg.contributor.initiativeSustainable Animal Productivityen_US


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