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dc.creatorRistić, Danijela
dc.creatorKostadinović, Marija
dc.creatorKravić, Natalija
dc.creatorKovinčić, Anika
dc.creatorStevanović, Milan
dc.creatorSavić, Iva
dc.creatorNikolić, Milica
dc.date.accessioned2022-06-30T07:15:56Z
dc.date.available2022-06-30T07:15:56Z
dc.date.issued2020
dc.identifier.isbn978-99938-93-63-9
dc.identifier.urihttp://rik.mrizp.rs/handle/123456789/977
dc.description.abstractMorphological traits are the earliest used markers in germplasm characterization, but their application may be difficult due to the presence of recessive homozygous alleles and their low frequency. Simple Sequence Repeat (SSR) markers are widely used for estimation of genetic diversity within different species, due to their reproducibility, informativeness co-dominant and multi-allelic nature. They are also most effective for evaluation and selection of plant material, as well as assessment of genetic variability and relatedness of maize inbred lines. The aim of our work was to evaluate genetic diversity of maize inbred lines by SSR markers and compare results with their pedigre information. Seventeen polymorphic SSR markers were used to characterized 23 maize inbred lines that belong to diferent breeding programs. A total number of detected alleles was 78 and varied between two to nine, with an average of 4.6 alleles per marker. Based on presence or absence of alleles in each sample coefficient of similarity was calculated by Jaccard in NTSYSpc2 program package, version 2.1. The highest value (0.88) of genetic similarity was calculated between L21 and L22, while the lowest value (0.18) was found between inbred lines L3/L16 and L15/L20. Genetic similarity matrix was used to construct dendrogram by UPGMA (Unweighted Pair Group Method with Arithmetic Mean) method. Dendrogram analysis grouped maize inbred lines in one large cluster with 21 analyzed genotypes and one smaller cluster with two lines. Genetic heterogeneity betweean inbred lines detected by selected set of SSR markers, makes them a good choice for genetic diversity analysis and planning maize breeding programs.sr
dc.language.isoensr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/31068/RS//sr
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.source9. International symposium on agricultural sciences "AgroReS 2020", 24.09.2020., Banja Luka, B i H – Book of Abstractssr
dc.subjectmaize inbred linessr
dc.subjectgenetic similaritysr
dc.subjectSSR markerssr
dc.subjectzea mays lsr
dc.titleGenetic diversity of maize inbred lines assessed by SSR markerssr
dc.typeconferenceObjectsr
dc.rights.licenseBYsr
dc.citation.spage42
dc.identifier.fulltexthttp://rik.mrizp.rs/bitstream/id/4764/agrores2020.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_rik_977
dc.type.versionpublishedVersionsr


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