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PROFICIENCY OF BIPLOT METHODS (AMMI AND GGE) IN THE APPRAISAL OF TRITICALE GENOTYPES IN MULTIPLE ENVIRONMENTS

dc.contributor.author Kendal, Enver
dc.contributor.author Tekdal, Sertaç
dc.contributor.author Karaman, Mehmet
dc.contributor.other Department of Seed Production / Tohumculuk Teknolojisi Bölümü
dc.date.accessioned 14.07.201910:50:10
dc.date.accessioned 2019-07-16T20:43:50Z
dc.date.available 14.07.201910:50:10
dc.date.available 2019-07-16T20:43:50Z
dc.date.issued 2019
dc.department MAÜ, Meslek Yüksekokulları, Kızıltepe Meslek Yüksekokulu, Bitkisel ve Hayvansal Üretim Bölümü en_US
dc.description.abstract The AMMI (additive main effect and multiplicative interaction) and GGE (genotype, genotype x environment) biplot analyses were used to evaluate and identify stability and yield of Triticale genotypes at three different locations throughout two years (2014-15-2015-16). The AMMI analysis of variance showed significant genotype, environment and GE interaction and indicated 1.31, 98.40 and 0.28% of total variation, respectively. The GGE bi-plot analysis indicated 78.19% of the total variation (PC1 (priciple component) 50.01%, and PC2 26.08%). This study has been useful to discriminate genotypes with superior and stable yield evaluated by the AMMI analysis and yield stability index incorporating the AMMI stability value and yield capacity in a single non-parametric index. The AMMI analysis indicated that G4, G8 (candidate) and G6 were found to be quite promising genotypes. In the GGE biplot analysis genotypes were investigated in two mega-environments, and the first mega-environment covered E3, E5 and E6, and the second mega-environment covered E1, E2 and E4. The genotypes G6, G8, G9 and Gll were the wining genotypes in ME (mega-environment) I, G3, G4 and G12 and in ME II. The GGE and AMMI biplot approaches let us to describe the best genotypes, and G8 to be stable and high yielding for both ME, G6 only for ME I, G4 only for ME II and can be recommended to release as a cultivar. en_US
dc.identifier.doi 10.15666/aeer/1703_59956007
dc.identifier.endpage 6007 en_US
dc.identifier.issn 1589-1623
dc.identifier.issn 1785-0037
dc.identifier.issue 3 en_US
dc.identifier.scopus 2-s2.0-85069938132
dc.identifier.scopusquality Q3
dc.identifier.startpage 5995 en_US
dc.identifier.uri https://doi.org/10.15666/aeer/1703_59956007
dc.identifier.uri https://hdl.handle.net/20.500.12514/1229
dc.identifier.volume 17 en_US
dc.identifier.wos WOS:000469124600043
dc.identifier.wosquality Q4
dc.indekslendigikaynak Web of Science en_US
dc.indekslendigikaynak Scopus en_US
dc.institutionauthor Kendal, Enver
dc.language.iso en en_US
dc.publisher CORVINUS UNIV BUDAPEST en_US
dc.relation.ispartof APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 26
dc.subject Stability en_US
dc.subject Interaction en_US
dc.subject Yield en_US
dc.subject Multi en_US
dc.subject Approach en_US
dc.title PROFICIENCY OF BIPLOT METHODS (AMMI AND GGE) IN THE APPRAISAL OF TRITICALE GENOTYPES IN MULTIPLE ENVIRONMENTS en_US
dc.type Article en_US
dc.wos.citedbyCount 21
dspace.entity.type Publication
relation.isAuthorOfPublication 1fd3426d-db3d-45ce-a101-a622abc48afa
relation.isAuthorOfPublication.latestForDiscovery 1fd3426d-db3d-45ce-a101-a622abc48afa
relation.isOrgUnitOfPublication 8c703689-c9b2-4388-a222-d224aac5eb43
relation.isOrgUnitOfPublication.latestForDiscovery 8c703689-c9b2-4388-a222-d224aac5eb43

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