Investigation of genotypes by environment interaction using gge biplot analysis in barley
dc.contributor.author | Kendal E. | |
dc.contributor.author | Aktas H. | |
dc.date.accessioned | 14.07.201910:50:10 | |
dc.date.accessioned | 2019-07-16T20:42:35Z | |
dc.date.available | 14.07.201910:50:10 | |
dc.date.available | 2019-07-16T20:42:35Z | |
dc.date.issued | 2016 | |
dc.department | [Belirlenecek] | en_US |
dc.department-temp | Kendal, 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, Turkey | en_US |
dc.description.abstract | The 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.provenance | Submitted by Ideal DSpace (dspace@artuklu.edu.tr) on 14.07.201910:50:10 | en |
dc.description.provenance | Made available in DSpace on 2019-07-16T20:42:35Z (GMT). No. of bitstreams: 0 Previous issue date: 2016 | en |
dc.identifier.endpage | 2446 | en_US |
dc.identifier.issn | 0209-4541 | |
dc.identifier.issue | 3-I | en_US |
dc.identifier.scopus | 2-s2.0-85053284961 | |
dc.identifier.scopusquality | Q4 | |
dc.identifier.startpage | 2433 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12514/1166 | |
dc.identifier.volume | 39 | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Scibulcom Ltd. | en_US |
dc.relation.ispartof | Oxidation Communications | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Barley | en_US |
dc.subject | Genotypes | en_US |
dc.subject | Multi-environments | en_US |
dc.subject | Quality parameters | en_US |
dc.subject | Yield | en_US |
dc.title | Investigation of genotypes by environment interaction using gge biplot analysis in barley | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication |