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Identification of High Yielding and Stable Barley Genotypes for Drought Conditions in the Moderate Climate of Iran Using AMMI Model and GGE Biplot Analysis

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cris.virtual.author-orcid0000-0002-0102-0084
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cris.virtualsource.author-orcid51a5a68b-106b-4e9d-bd9b-79d15d3ec0c1
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dc.abstract.enDrought stress is one of the major environmental factors that significantly reduces agricultural production worldwide. Among cereal crops, barley (Hordeum vulgare L.) plays a key role in both food and feed security. The main objective of this study was to identify high-yielding, drought-tolerant and stable genotypes using the additive main effect and multiplicative interaction (AMMI) and genotype main effect (G) plus genotype by environment interaction (GE) (GGE) biplot models. For this purpose, a set of promising new barley genotypes was studied in three drought-prone regions of Iran (Varamin, Yazd and Birjand) during two consecutive growing seasons (2020–2021 and 2021–2022). The results of the combined analysis of variance (ANOVA) and AMMI model showed significant effects for genotypes (G), environments (E), and their interaction (G × E). Based on the grain yield data under irrigated and drought stress conditions and the stress tolerance index (STI), genotypes G3, G11, and G15 were identified as the most tolerant genotypes across test environments. Of the genotypes tested, G11 was identified as the most stable genotype using AMMI-based stability parameters. Moreover, sum across environments of absolute value of GEI modelled by AMMI (AVAMGE) and stability measure based on fitted AMMI model (FA) parameters showed a “dynamic” concept of stability. The result of the GGE biplot analysis showed that the first two principal components (PCA1 and PCA2) accounted for 49.73% of the total grain yield variation. Based on the polygon viewpoint of the GGE model, all test environments clustered in four main sectors. Among the test environments, the Varamin location (E5 and E7) was identified as the ideal environment (Type II) for identifying the highest quality genotypes. In a pooled analysis using various statistical methods, genotypes G3 and G11 were proposed as superior genotypes. Consequently, these genotypes may be candidates for commercial introduction in drought-prone regions in Iran’s temperate climate.
dc.affiliationWydział Rolnictwa, Ogrodnictwa i Biotechnologii
dc.affiliation.instituteKatedra Metod Matematycznych i Statystycznych
dc.contributor.authorBarati, Ali
dc.contributor.authorPour-Aboughadareh, Alireza
dc.contributor.authorArazmjoo, Elias
dc.contributor.authorTabatabaei, Seyed Ali
dc.contributor.authorBocianowski, Jan
dc.contributor.authorJamshidi, Bita
dc.date.accessioned2025-03-28T09:37:18Z
dc.date.available2025-03-28T09:37:18Z
dc.date.issued2025
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if2,4
dc.description.number1
dc.description.points40
dc.description.volume77
dc.identifier.doi10.1007/s10343-024-01080-x
dc.identifier.eissn2948-2658
dc.identifier.issn2948-264X
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/2641
dc.languageen
dc.relation.ispartofJournal of Crop Health
dc.relation.pagesart. 8
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.subject.enHordeum vulgare L.
dc.subject.engrain yield
dc.subject.engenotype -by-environment interaction
dc.subject.enSTI index
dc.subject.enwater scarcity condition
dc.titleIdentification of High Yielding and Stable Barley Genotypes for Drought Conditions in the Moderate Climate of Iran Using AMMI Model and GGE Biplot Analysis
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume77