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Resumen
Sugar beet is an important agricultural crop product that has been produced and consumed worldwide since the eighteenth century and can adapt to various climatic and soil conditions. The two fundamental building blocks of any crop improvement program are germplasm resources, which contain genetic diversity and phenotypic expression of desired traits. In this study, a total of 58 sugar beet genotypes including 12 from Turkey, 4 from India, 12 from the [ver mas...]
dc.contributor.authorSadık, Gökhan
dc.contributor.authorYildiz, Mehtap
dc.contributor.authorTaşkın, Bilgin
dc.contributor.authorKoçak, Metin
dc.contributor.authorCavagnaro, Pablo
dc.contributor.authorBaloch, Faheem Shehzad
dc.date.accessioned2025-09-12T14:37:24Z
dc.date.available2025-09-12T14:37:24Z
dc.date.issued2025-03
dc.identifier.issn0925-9864
dc.identifier.issn1573-5109
dc.identifier.otherhttps://doi.org/10.1007/s10722-024-02148-3
dc.identifier.urihttp://hdl.handle.net/20.500.12123/23799
dc.identifier.urihttps://link.springer.com/article/10.1007/s10722-024-02148-3
dc.description.abstractSugar beet is an important agricultural crop product that has been produced and consumed worldwide since the eighteenth century and can adapt to various climatic and soil conditions. The two fundamental building blocks of any crop improvement program are germplasm resources, which contain genetic diversity and phenotypic expression of desired traits. In this study, a total of 58 sugar beet genotypes including 12 from Turkey, 4 from India, 12 from the United States of America, 16 from Iran, 12 from England and Beta vulgaris L. subsp. maritima L. Arcang. as wild species were characterized using 15 inter-primer binding site (iPBS) markers that produced intense and polymorphic bands in the germplasm library. Using these 15 iPBS markers, 102 polymorphic bands were produced and the average number of polymorphic bands was determined as 6.8. Polymorphism information content (PIC) values ranged between 0.58 and 0.83, and the average PIC value was found to be 0.70. It was determined that the most genetically different genotypes were PI 590697-US11 and PI 171508-TR8, with a distance of 0.73. Clustering algorithms Unweighted Pair Group Method Algorithm (UPGMA) and Principal Coordinate Algorithm (PCoA) confirmed that genotypes are an important factor in clustering, and STRUCTURE analysis divided sugar beet gene resources into six populations. Also, the analysis of molecular variance (AMOVA) showed that there was 8% variance among populations and 92% variance within populations. This is the first study to investigate the genetic diversity and population structure of sugar beet germplasm using the iPBS-retrotransposon marker system. The results of this research emphasized that iPBS markers are very successful and effective in examining the genetic diversity of sugar beet germplasm. The results obtained in this study provide a theoretical basis for future selection and breeding of superior sugar beet germplasm sources.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherSpringeres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceGenetic Resources and Crop Evolution 72 (3) : 3039-3049. (2025)es_AR
dc.subjectRemolacha Azucareraes_AR
dc.subjectSugar Beeteng
dc.subjectBeta vulgariseng
dc.subjectGermoplasmaes_AR
dc.subjectGermplasmeng
dc.subjectMarcadores Genéticoses_AR
dc.subjectGenetic Markerseng
dc.subjectDiversidad genética (recurso)es_AR
dc.subjectGenetic Diversity (resource)eng
dc.subject.otherMarcadores Moleculareses_AR
dc.titleApplication of iPBS-retrotransposons markers for the assessment of genetic diversity and population structure among sugar beet (Beta vulgaris) germplasm from different regions of the worldes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenEEA Mendozaes_AR
dc.description.filFil: Sadık, Gökhan. Van Yuzuncu Yil University. Faculty of Agriculture. Department of Agricultural Biotechnology; Turquíaes_AR
dc.description.filFil: Yıldız, Mehtap. Van Yuzuncu Yil University. Faculty of Agriculture. Department of Agricultural Biotechnology; Turquíaes_AR
dc.description.filFil: Taşkın, Bilgin. Van Yuzuncu Yil University. Faculty of Agriculture. Department of Agricultural Biotechnology; Turquíaes_AR
dc.description.filFil: Koçak, Metin. Van Yuzuncu Yil University. Faculty of Agriculture. Department of Agricultural Biotechnology; Turquíaes_AR
dc.description.filFil: Cavagnaro, Pablo Federico. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentinaes_AR
dc.description.filFil: Cavagnaro, Pablo Federico. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Cavagnaro, Pablo Federico. University of Agriculture in Krakow. Faculty of Biotechnology and Horticulture. Department of Plant Biology, and Biotechnology; Poloniaes_AR
dc.description.filFil: Baloch, Faheem Shehzad. Mersin University. Faculty of Sciences; Turquíaes_AR
dc.subtypecientifico


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