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Identification of high-yielding genotypes for cold climate in Iran using the GGE Biplot method

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dc.abstract.enThe development of high-yielding and stable cultivars necessitates a comprehensive understanding of genotype-by-environment interaction (GEI) effects through multi-trial experiments (MTEs). In this study, the grain yield per-formance, stability, and adaptability of newly developed barley genotypes were assessed across eight locations in Iran over two cropping seasons (2020–2022) using GGE biplot analysis. Analysis of variance of the grain yield data revealed significant effects of genotype, environment, and their interaction. The GGE biplot analysis identified two mega-environments, with Ardabil, Arak, and Ta-briz being the most discriminating and representative test sites. Based on the “which-won-where” and “mean vs. stability” views, genotypes G5, G17, and G18 were identified as high-yielding, stable, and ideal candidates. Genotype G17 exhibited specific adaptability to Hamedan, Miandoad, and Karaj, whereas G5 and G18 were best adapted to Jolgeh Rokh, Mashhad, Tabriz, Ardabil, and Arak. These genotypes warrant further on-farm evaluation prior to their po-tential commercial release.
dc.affiliationWydział Rolnictwa, Ogrodnictwa i Biotechnologii
dc.affiliation.instituteKatedra Metod Matematycznych i Statystycznych
dc.contributor.authorHabibollah, Ghazvini
dc.contributor.authorAlireza, Pour-Aboughadareh
dc.contributor.authorSeyed Shahriyar, Jasemi
dc.contributor.authorSoleiman, Mohammadi
dc.contributor.authorSayed Alireza, Razavi
dc.contributor.authorMehrdad, Chaichi
dc.contributor.authorMarefat Ghasemi, Kalkhoran
dc.contributor.authorHassan, Monirifar
dc.contributor.authorHamid, Tajali
dc.contributor.authorAfshin, Rozbehani
dc.contributor.authorBita, Jamshidi
dc.contributor.authorBocianowski, Jan
dc.date.access2025-11-27
dc.date.accessioned2025-11-27T13:14:18Z
dc.date.available2025-11-27T13:14:18Z
dc.date.copyright2025-11-10
dc.date.issued2025
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if1,1
dc.description.number4
dc.description.points70
dc.description.versionfinal_published
dc.description.volume25
dc.identifier.doi10.1590/1984-70332025v25n4a53
dc.identifier.eissn1518-7853
dc.identifier.issn1984-7033
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/6153
dc.identifier.weblinkhttps://cbab.sbmp.org.br/2025/10/24/article-identification-of-high-yielding-genotypes-for-cold-climate-in-iran-using-the-gge-biplot-method/
dc.languageen
dc.pbn.affiliationagriculture and horticulture
dc.relation.ispartofCrop Breeding and Applied Biotechnology
dc.relation.pagese53512548
dc.rightsCC-BY
dc.sciencecloudnosend
dc.share.typeOPEN_JOURNAL
dc.subject.enbarley
dc.subject.encombined analysis of variance
dc.subject.engenotype-by-environment interaction
dc.subject.enspecific adaptability
dc.subject.enyield stability
dc.titleIdentification of high-yielding genotypes for cold climate in Iran using the GGE Biplot method
dc.typeJournalArticle
dspace.entity.typePublication