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dc.creatorMiladinović, Dragana
dc.creatorKondić-Špika, Ankica
dc.creatorZeremski, Tijana
dc.creatorCvejić, Sandra
dc.creatorGvozdenac, Sonja
dc.creatorDedić, Boško
dc.creatorJocić, Siniša
dc.creatorRadanović, Aleksandra
dc.creatorMarjanović-Jeromela, Ana
dc.creatorMiladinović, Jegor
dc.creatorĐorđević, Vuk
dc.creatorTomičić, Marina
dc.creatorBekavac, Goran
dc.creatorTančić-Živanov, Sonja
dc.creatorMirosavljević, Milan
dc.creatorOvuka, Jelena
dc.creatorJocković, Milan
dc.creatorHladni, Nada
dc.creatorKiprovski, Biljana
dc.creatorMikić, Sanja
dc.creatorTrkulja, Dragana
dc.creatorGlogovac, Svetlana
dc.creatorMiklič, Vladimir
dc.creatorDušanić, Nenad
dc.creatorRadić, Velimir
dc.creatorGrahovac, Nada
dc.creatorRajković, Dragana
dc.creatorĆuk, Nemanja
dc.creatorTakač, Verica
dc.creatorKrstić, Miloš
dc.date.accessioned2022-10-04T10:37:23Z
dc.date.available2022-10-04T10:37:23Z
dc.date.issued2022
dc.identifier.isbn978-86-912591-6-7
dc.identifier.urihttp://fiver.ifvcns.rs/handle/123456789/3101
dc.description.abstractAgriculture is one of the “victims” of climate change and one of the most severely affected sectors. It has become evident that as the climate changes, crop production strategies must change as well, including primarily adaptations through breeding and crop management. In the future, it is expected that integrative approaches that combine -omics technologies by using bioinformatic tools will facilitate the identification of target genes and markers for complex traits and facilitate crop adaptation to the changing environment. Within its activities, Twinning project CROPINNO will implement at and validate different phenotyping and multi-omics tools in breeding for improved stress resilience. Sunflower is chosen as a model crop for validation of different tools and approaches since it is considered as potential model crop for adaptation to a changing environment. Activities within CROPINNO are aimed at: i) pre-screening sunflower genotypes from IFVCNS collection using for biotic and abiotic stress resilience using different phenotyping methods; ii) study of effects of drought on sunflower plants at chromatin and transcriptional level; iii) performing whole genome SNP analysis in order to develop SNP-based markers for drought stress resilience; iv) performing integrated data analysis and comparative bioinformatics for drought responses in order to unveil possible direct correlations between stress-induced genes transcriptional variation and histone modification levels and design of networks of candidate genes for sunflower drought tolerance. Models, tools and know-how developed on sunflower will be transferred and implemented in the breeding programs of other main field crops at IFVCNS and Western Balkans region.sr
dc.language.isoensr
dc.publisherBelgrade : Serbian Plant Physiology Societysr
dc.publisherBelgrade : University of Belgrade, Institute for Biological Research „Siniša Stanković“sr
dc.publisherBelgrade : University of Belgrade, Faculty of Biologysr
dc.relationinfo:eu-repo/grantAgreement/MESTD/inst-2020/200032/RS//sr
dc.relationinfo:eu-repo/grantAgreement/ScienceFundRS/Ideje/7732457/RS//sr
dc.relationCOST Action CA19125: EPIgenetic mechanisms of Crop Adaptation To Climate cHange (EPI-CATCH)sr
dc.relationClimate Crops - Centre of Excellence for Innovations in Breeding of Climate-Resilient Crops, Institute of Field and Vegetable Crops
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceBook of Abstracts, 4th International Conference on Plant Biology (23rd SPPS Meeting), 6-8 October 2022, Belgradesr
dc.subjectcropssr
dc.subjectmulti-omicssr
dc.subjectresiliencesr
dc.subjectbreedingsr
dc.titleCROPINNO – Introducing multi-omics tools for improved crop stress resiliencesr
dc.typeconferenceObjectsr
dc.rights.licenseBYsr
dc.citation.epage74
dc.citation.spage74
dc.identifier.fulltexthttp://fiver.ifvcns.rs/bitstream/id/8702/DM.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_fiver_3101
dc.type.versionpublishedVersionsr


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