MAÜ GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

Investigation of genotypes by environment interaction using gge biplot analysis in barley

dc.contributor.authorKendal E.
dc.contributor.authorAktas H.
dc.date.accessioned14.07.201910:50:10
dc.date.accessioned2019-07-16T20:42:35Z
dc.date.available14.07.201910:50:10
dc.date.available2019-07-16T20:42:35Z
dc.date.issued2016
dc.department[Belirlenecek]en_US
dc.department-tempKendal, E., Department of Crops and Animal Production, Kiziltepe Vocational Training High School, Mardin Artuklu University, Kiziltepe, Mardin, Turkey -- Aktas, H., Department of Crops and Animal Production, Kiziltepe Vocational Training High School, Mardin Artuklu University, Kiziltepe, Mardin, Turkeyen_US
dc.description.abstractThe aim of this study was to examine the effects of genotype × environment interaction (GEI) on grain yield, components, and quality characteristics using genotype main effect (G) and genotype × environment interaction by GGE biplot analysis. We observed significant differences among genotypes in grain yield, yield components, and quality traits; the relationships between yield components were used to identify three groups. The GGE biplot indicated that E4 (Diyarbakir 2009/10), E5 (Hani 2010/11) and E6 (Diyarbakir 2010/11) were ideal environments for all traits, and E4 was a highly efficient model for grain yield. The biplot analysis showed that genotype 1 (G1) was the best genotype in terms of yield and other components, and G11 was efficient for quality parameters only; thus, these two genotypes can be recommended to release in barley breeding program. Consequently, the study showed that biplot analyses is a good analysis method and will be used to make specific selection for multi-factorial studies and specific conditions. © 2016, Scibulcom Ltd. All rights reserved.en_US
dc.description.provenanceSubmitted by Ideal DSpace (dspace@artuklu.edu.tr) on 14.07.201910:50:10en
dc.description.provenanceMade available in DSpace on 2019-07-16T20:42:35Z (GMT). No. of bitstreams: 0 Previous issue date: 2016en
dc.identifier.endpage2446en_US
dc.identifier.issn0209-4541
dc.identifier.issue3-Ien_US
dc.identifier.scopus2-s2.0-85053284961
dc.identifier.scopusqualityQ4
dc.identifier.startpage2433en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12514/1166
dc.identifier.volume39en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherScibulcom Ltd.en_US
dc.relation.ispartofOxidation Communicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBarleyen_US
dc.subjectGenotypesen_US
dc.subjectMulti-environmentsen_US
dc.subjectQuality parametersen_US
dc.subjectYielden_US
dc.titleInvestigation of genotypes by environment interaction using gge biplot analysis in barleyen_US
dc.typeArticleen_US
dspace.entity.typePublication

Files