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Multi-trait stability index in the selection of high-yielding and stable barley genotypes

cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
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cris.virtual.author-orcid0000-0002-0102-0084
cris.virtual.author-orcid0000-0002-8011-9487
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
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cris.virtualsource.author-orcid51a5a68b-106b-4e9d-bd9b-79d15d3ec0c1
cris.virtualsource.author-orcid20597688-8be2-4b58-9e15-29f5ff8c53aa
dc.abstract.enThe analysis of genotype-by-environment interaction (GEI) in multi-environmental trials (METs) represents a crucial component of breeding programs prior to the release of new commercial cultivars tailored for specific regions or diverse environmental conditions. Moreover, emphasizing individual traits during selection can yield misleading conclusions. Consequently, the implementation of robust selection models is essential for identifying superior genotypes based on multiple traits. The present dataset demonstrates the utility of the multi-trait stability index (MTSI) in identifying high-yielding and stable barley genotypes across ten diverse environments. The evaluated phenological and agronomic traits included days to heading, days to physiological maturity, grain-filling period, plant height, thousand-kernel weight, and grain yield. A combined analysis of variance (ANOVA) revealed significant effects attributable to environments (E), genotypes (G), and their interaction (GEI) across all assessed traits. Correlation analysis further indicated positive associations between all measured traits and grain yield. In the MTSI model, three first factors accounted for 75% of the total phenotypic variation observed across the test environments. The highest selection gain percentages were recorded for thousand-kernel weight and grain yield. Among the genotypes evaluated, G3, G10, and G14, characterized by the lowest values of the MTSI index, were identified as superior in terms of grain yield, stability, and desirable agronomic attributes. In conclusion, the findings highlight the efficacy of the MTSI in reliably identifying superior genotypes in METs. The results demonstrate that the MTSI index not only enhances the efficiency of the selection process but also improves the accuracy of genotype evaluation and ranking across heterogeneous environmental conditions. This underscores the potential of the MTSI index to support informed breeding decisions, ultimately facilitating the development of high-performing plant varieties that exhibit both yield stability and adaptability across diverse environments.
dc.affiliationWydział Rolnictwa, Ogrodnictwa i Biotechnologii
dc.affiliation.instituteKatedra Metod Matematycznych i Statystycznych
dc.affiliation.instituteKatedra Genetyki i Hodowli Roślin
dc.contributor.authorPour-Aboughadareh, Alireza
dc.contributor.authorJamshidi, Bita
dc.contributor.authorJadidi, Omid
dc.contributor.authorBocianowski, Jan
dc.contributor.authorNiemann, Janetta
dc.date.access2025-08-20
dc.date.accessioned2025-08-20T06:04:27Z
dc.date.available2025-08-20T06:04:27Z
dc.date.copyright2025-08-07
dc.date.issued2025
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.versionfinal_published
dc.identifier.doi10.1007/s13353-025-00998-w
dc.identifier.eissn2190-3883
dc.identifier.issn1234-1983
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/4296
dc.identifier.weblinkhttps://link.springer.com/article/10.1007/s13353-025-00998-w
dc.languageen
dc.pbn.affiliationagriculture and horticulture
dc.relation.ispartofJournal of Applied Genetics
dc.rightsCC-BY-NC-ND
dc.sciencecloudnosend
dc.share.typeOTHER
dc.subject.enmulti-environment trial (MET)
dc.subject.engrain yield
dc.subject.enselection model
dc.subject.enyield stability
dc.subject.engenotype-by-environment interaction (GEI)
dc.subtypeArticleEarlyAccess
dc.titleMulti-trait stability index in the selection of high-yielding and stable barley genotypes
dc.typeJournalArticle
dspace.entity.typePublication