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GT Biplot and Cluster Analysis of Barley (Hordeum vulgare L.) Germplasm from Various Geographical Regions Based on Agro-Morphological Traits

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cris.virtual.author-orcid0000-0002-2222-6866
cris.virtual.author-orcid0000-0003-3721-6473
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cris.virtualsource.author-orcid09c81af2-c2b2-424c-b2ec-4cda600883bf
cris.virtualsource.author-orcid3fe42726-36c4-478a-818f-a10f72d4a6ef
dc.abstract.enBarley, an ancient crop, was vital for early civilizations and has historically been served as food and beverage. Today, it plays a major role as feed for livestock. Breeding modern barley varieties for high yield and quality has created significant genetic erosion. This highlights the importance of tapping into genetic and genomic resources to develop new improved varieties that can overcome agricultural bottlenecks and increase barley yield. In the current study, 75 barley genotypes were evaluated for agro-morphological traits. The relationships among these traits were determined based on genotype by trait (GT) biplot analysis for two cropping years (2021 and 2022). This study was designed as a randomized complete block experiment with four replications. The variation among genotypes was found to be significant for all traits. The correlation coefficient and GT biplot revealed that grain yield (GY) was positively correlated with the number of grains per spike (NGS), the grain weight per spike (GW), and the thousand kernel weight (1000 KW). However, the test weight (TW) was negatively correlated with the heading date (HD). Hierarchical analysis produced five groups in the first year, four groups in the second year, and four groups over the average of two years. Genotypes by trait biplot analysis highlighted G25, G28, G61, G73, and G74 as promising high-yielding barley genotypes. This study demonstrated the effectiveness of the GT biplot as a valuable approach for identifying superior genotypes with contrasting traits. It is considered that this approach could be used to evaluate the barley genetic material in breeding programs.
dc.affiliationWydział Inżynierii Środowiska i Inżynierii Mechanicznej
dc.affiliation.instituteKatedra Inżynierii Biosystemów
dc.contributor.authorGüngör, Hüseyin
dc.contributor.authorTürkoğlu, Aras
dc.contributor.authorÇakır, Mehmet Fatih
dc.contributor.authorDumlupınar, Ziya
dc.contributor.authorPiekutowska, Magdalena
dc.contributor.authorWojciechowski, Tomasz
dc.contributor.authorNiedbała, Gniewko
dc.date.access2024-11-07
dc.date.accessioned2024-11-07T12:58:06Z
dc.date.available2024-11-07T12:58:06Z
dc.date.copyright2024-09-24
dc.date.issued2024
dc.description.abstract<jats:p>Barley, an ancient crop, was vital for early civilizations and has historically been served as food and beverage. Today, it plays a major role as feed for livestock. Breeding modern barley varieties for high yield and quality has created significant genetic erosion. This highlights the importance of tapping into genetic and genomic resources to develop new improved varieties that can overcome agricultural bottlenecks and increase barley yield. In the current study, 75 barley genotypes were evaluated for agro-morphological traits. The relationships among these traits were determined based on genotype by trait (GT) biplot analysis for two cropping years (2021 and 2022). This study was designed as a randomized complete block experiment with four replications. The variation among genotypes was found to be significant for all traits. The correlation coefficient and GT biplot revealed that grain yield (GY) was positively correlated with the number of grains per spike (NGS), the grain weight per spike (GW), and the thousand kernel weight (1000 KW). However, the test weight (TW) was negatively correlated with the heading date (HD). Hierarchical analysis produced five groups in the first year, four groups in the second year, and four groups over the average of two years. Genotypes by trait biplot analysis highlighted G25, G28, G61, G73, and G74 as promising high-yielding barley genotypes. This study demonstrated the effectiveness of the GT biplot as a valuable approach for identifying superior genotypes with contrasting traits. It is considered that this approach could be used to evaluate the barley genetic material in breeding programs.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if3,3
dc.description.number10
dc.description.points100
dc.description.reviewreview
dc.description.versionfinal_published
dc.description.volume14
dc.identifier.doi10.3390/agronomy14102188
dc.identifier.issn2073-4395
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/1999
dc.languageen
dc.pbn.affiliationmechanical engineering
dc.relation.ispartofAgronomy
dc.relation.pagesart. 2188
dc.rightsCC-BY
dc.sciencecloudsend
dc.share.typeOPEN_JOURNAL
dc.subject.enbarley
dc.subject.enGT biplot
dc.subject.encorrelation coefficients
dc.subject.enhierarchical cluster analysis
dc.subject.pljęczmień
dc.subject.plbiplot GT
dc.subject.plwspółczynniki korelacji
dc.subject.plhierarchiczna analiza skupień
dc.titleGT Biplot and Cluster Analysis of Barley (Hordeum vulgare L.) Germplasm from Various Geographical Regions Based on Agro-Morphological Traits
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue10
oaire.citation.volume14