AMMI and GGE Biplot Analyses for Mega- Environment Identification and Selection of Some High-Yielding Oat (Avena sativa L.) Genotypes for Multiple Environments

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cg.contributor.affiliationInternational Center for Agricultural Research in the Dry Areasen_US
cg.contributor.affiliationInternational Crops Research Institute for the Semi-Arid Tropicsen_US
cg.contributor.affiliationSouthern Agricultural Research Instituteen_US
cg.contributor.affiliationJimma Universityen_US
cg.contributor.affiliationBonga Agricultural Research Centeren_US
cg.contributor.affiliationArba Minch Agricultural Research Centeren_US
cg.contributor.affiliationBonga Universityen_US
cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.initiativeSustainable Animal Productivityen_US
cg.contributor.initiativeMixed Farming Systemsen_US
cg.coverage.countryEthiopiaen_US
cg.coverage.iso3166-alpha2ETen_US
cg.coverage.regionEastern Africaen_US
cg.creator.identifierJane Wamatu: 0000-0003-3544-6718en_US
cg.creator.identifierMamta Sharma: 0000-0001-5745-4693en_US
cg.subject.actionAreaResilient Agrifood Systemsen_US
cg.subject.impactAreaClimate adaptation and mitigationen_US
cg.subject.impactAreaNutrition, health and food securityen_US
cg.subject.impactAreaEnvironmental health and biodiversityen_US
cg.subject.sdgSDG 1 - No povertyen_US
cg.subject.sdgSDG 2 - Zero hungeren_US
cg.subject.sdgSDG 12 - Responsible consumption and productionen_US
cg.subject.sdgSDG 13 - Climate actionen_US
dc.contributor.authorWodebo, Kibreaben_US
dc.contributor.authorTolemariam, Tayeen_US
dc.contributor.authorDemeke, Solomonen_US
dc.contributor.authorGaredew, Weyessaen_US
dc.contributor.authorTesfaye, Tessemaen_US
dc.contributor.authorEkule, Mulukenen_US
dc.contributor.authorGemiyu, Deribeen_US
dc.contributor.authorBedeke, Workuen_US
dc.contributor.authorWamatu, Janeen_US
dc.contributor.authorMamta, Sharmaen_US
dc.date.accessioned2024-11-14T15:33:28Zen_US
dc.date.available2024-11-14T15:33:28Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/159756en_US
dc.titleAMMI and GGE Biplot Analyses for Mega- Environment Identification and Selection of Some High-Yielding Oat (Avena sativa L.) Genotypes for Multiple Environmentsen_US
dcterms.abstractTo lessen the impact of Genotype x Environment interaction and to increase the precision and reliability of genotype selection, the yield and stability of performance should be taken into account simultaneously. Two methodologies of analysis (AMMI and GGE) approved selecting ILRI_5527A/G6 for a further breeding program or for high-production growers in Adiyo, Doyogena, Chencha and Hulla locations of Central Ethiopia.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.available2024-10-30en_US
dcterms.bibliographicCitationKibreab Wodebo, Taye Tolemariam, Solomon Demeke, Weyessa Garedew, Tessema Tesfaye, Muluken Ekule, Deribe Gemiyu, Worku Bedeke, Jane Wamatu, Sharma Mamta. (30/10/2024). AMMI and GGE Biplot Analyses for Mega- Environment Identification and Selection of Some High-Yielding Oat (Avena sativa L. ) Genotypes for Multiple Environments. Nairobi, Kenya: International Livestock Research Institute (ILRI).en_US
dcterms.formatPDFen_US
dcterms.issued2024-10-30en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherInternational Livestock Research Instituteen_US
dcterms.subjectammien_US
dcterms.subjectoat (avena sativa)en_US
dcterms.subjectgge biplot modelen_US
dcterms.typePosteren_US

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