Interpretation of yield and quality traits of barley ( Hordeum vulgare L.) varieties by heatmap technique

dc.contributor.authorKaraman, Mehmet
dc.contributor.authorSeydosoglu, Seyithan
dc.contributor.authorVyhnanek, Tomas
dc.contributor.authorAli, M. Ajmal
dc.contributor.authorElshikh, Mohamed Soliman
dc.date.accessioned2024-12-14T22:07:19Z
dc.date.available2024-12-14T22:07:19Z
dc.date.issued2024
dc.departmentMuş Alparslan Üniversitesien_US
dc.description.abstractBackground Barley (Hordeum vulgare L.) is the most cultivated cool-season cereal after wheat in T & uuml;rkiye. This can be attributed to its uses in the malt industry, human consumption, and animal nutrition etc. This study investigated yield, physiological, and quality traits of different barley varieties using heatmap and principal component analysis (PCA) technique to identify the varieties with better yield and superior quality. Methods A total of 12 barley varieties (8 two-row and 4 six-row) were used in the study. The varieties were sown under natural conditions and data relating to yield, phenology and quality traits (grain yield, heading time, plant height, number of spikes m(-2), 1000-grain weight, and starch ratio) were recorded. The recorded data were analyzed by PCA and heatmap techniques to determine the better-performing varieties. Results Significant variations were observed among the tested varieties for all evaluated traits (p < 0.01). Heatmap categorized the recorded traits into two clusters, and traits within the same cluster exhibiting interconnectedness. The primary cluster comprised of plant height, heading time, and 1000-grain weight. Similarly, the second significant cluster contained the varieties with similar grain yield, starch ratio, and the number of spikes m(-2). The varieties 'Bozlak' and 'Mert', 'Aydanhanim' and 'Tosunpa & scedil;a', 'Erciyes' and '& Ccedil;atalhuyuk', and 'Sabribey' and 'Asutay', exhibited significant resemblance for the recorded traits. The PCA revealed that 1000-grain weight was associated with the heading time, whereas starch ratio was associated with the grain yield. 'Erciyes' (3.58 tons ha(-1)), '& Ccedil;atalhuyuk 2001 ' (2.95 tons ha(-1)), and 'Bozlak' (2.72 tons ha(-1)) recorded the highest yield, whereas 'Erciyes' variety resulted in the delayed heading. Similarly, '& Ccedil;atalhuyuk', and 'Erciyes' produced the highest number of spikes m(-2). Likewise, '& Ccedil;atalhuyuk 2001 ', and 'Tosunpa & scedil;a' resulted in the heaviest 1000-grains, while 'Asutay' resulted in the highest starch ratio. Conclusion It is concluded that '& Ccedil;atalhuyuk', 'Erciyes', and 'Tosunpa & scedil;a' are superior varieties in terms of yield-related traits, whereas 'Asutay' proved better for starch ratio. Therefore, these varieties could be used in future breeding programs to improve these traits.en_US
dc.description.sponsorshipKing Saud University, Riyadh, Saudi Arabia [RSP2024R306]en_US
dc.description.sponsorshipThe authors extend their appreciation to the Researchers supporting project number (RSP2024R306) , King Saud University, Riyadh, Saudi Arabia.en_US
dc.identifier.doi10.1016/j.jksus.2024.103382
dc.identifier.issn1018-3647
dc.identifier.issn2213-686X
dc.identifier.issue9en_US
dc.identifier.orcid0000-0002-9628-3716
dc.identifier.scopus2-s2.0-85200456632
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.jksus.2024.103382
dc.identifier.urihttps://hdl.handle.net/20.500.12639/6541
dc.identifier.volume36en_US
dc.identifier.wosWOS:001294034200001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevieren_US
dc.relation.ispartofJournal of King Saud University Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKA_20241214
dc.subjectBarleyen_US
dc.subjectMultivariate analysisen_US
dc.subjectStarchen_US
dc.subjectYield-related traitsen_US
dc.titleInterpretation of yield and quality traits of barley ( Hordeum vulgare L.) varieties by heatmap techniqueen_US
dc.typeArticle

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