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A Framework for Selection of High-Yielding and Drought-tolerant Genotypes of Barley: Applying Yield-Based Indices and Multi-index Selection Models

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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 stresses that dramatically reduces agricultural production around the world. Barley (Hordeum vulgare L.) plays an important role in both food and feed security. The objective of this study was to identify the superior drought-tolerant genotypes using grain yield and several yield-based indices of tolerance and susceptibility by applying various multivariate selection models. To achieve this objective, a set of promising new barley genotypes was evaluated in three drought-prone regions of Iran (Mashhad, Karaj, and Hamadan) during two consecutive growing seasons (2019–2020 and 2020–2021). The results of additive main effect and multiplicative interaction (AMMI) analysis showed significant effects for genotypes (G), environments (E), and their interaction (G × E). Based on the AMMI model, G3, G7, G9, and G13 were identified as the four highest-ranked genotypes in terms of grain yield. Based on the Smith-Hazel, factor analysis and genotype-ideotype distance index (FAI), and genotype–ideotype distance index (MGIDI) selection models, genotypes G4 and G13 showed the greatest tolerance to drought stress conditions in the three regions. Moreover, the most significant selection gain was found for the stress tolerance index, yield index, and grain yield under drought stress conditions (Ys). The results of the genotype (G) + genotype × environment (GGE) biplot analysis coincided with those obtained, in which the G4 and G13 genotypes showed specific adaptability in drought environments. In addition, among the environments tested, the Karaj region was selected as an ideal target environment with significant discriminatory power and representative ability. In conclusion, the collective analysis using the AMMI, GGE biplot, and multi-index selection models identified genotypes G4 and G13 as superior genotypes. Consequently, these genotypes may be candidates for commercial introduction. This is a preview of subscription content, log in via a
dc.affiliationWydział Rolnictwa, Ogrodnictwa i Biotechnologii
dc.affiliation.instituteKatedra Metod Matematycznych i Statystycznych
dc.contributor.authorGhazvini, Habibollah
dc.contributor.authorPour-Aboughadareh, Alireza
dc.contributor.authorJasemi, Seyed Shahriyar
dc.contributor.authorChaichi, Mehrdad
dc.contributor.authorTajali, Hamid
dc.contributor.authorBocianowski, Jan
dc.date.accessioned2024-11-19T11:12:36Z
dc.date.available2024-11-19T11:12:36Z
dc.date.issued2024
dc.description.additionalJournal of Crop Health formerly Gesunde Pflanzen.
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if2,4
dc.description.number3
dc.description.points40
dc.description.volume76
dc.identifier.doi10.1007/s10343-024-00981-1
dc.identifier.eissn2948-2658
dc.identifier.issn2948-264X
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/2042
dc.languageen
dc.relation.ispartofJournal of Crop Health
dc.relation.pages601-606
dc.rightsClosedAccess
dc.sciencecloudsend
dc.subject.endrought stress
dc.subject.engenotype-by-environment interaction
dc.subject.enMGIDI
dc.subject.encorrelation
dc.subject.enselection model
dc.titleA Framework for Selection of High-Yielding and Drought-tolerant Genotypes of Barley: Applying Yield-Based Indices and Multi-index Selection Models
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue3
oaire.citation.volume76