Prikaz osnovnih podataka o dokumentu

dc.creatorMiladinović, Dragana
dc.creatorHladni, Nada
dc.creatorRadanović, Aleksandra
dc.creatorJocić, Siniša
dc.creatorCvejić, Sandra
dc.date.accessioned2021-04-26T19:49:41Z
dc.date.available2021-04-26T19:49:41Z
dc.date.issued2019
dc.identifier.urihttp://fiver.ifvcns.rs/handle/123456789/1948
dc.description.abstractDue to its ability to grow in different agroecological conditions and its moderate drought tolerance, sunflower may become the oil crop of preference in the future, especially in the light of global environmental changes. In the field conditions, sunflower crop is often simultaneously challenged by different biotic and abiotic stresses, and understanding the shared mechanisms contributing to two or more stresses occurring individually or simultaneously is important to improve crop productivity under foreseeable complex stress situations. Exploitation of the available plant genetic resources in combination with the use of modern molecular tools for genome-wide association studies (GWAS) and application of genomic selection (GS) could lead to considerable improvements in sunflower, especially with regard to different stresses and better adaptation to the climate change. In this chapter we present a review of climate-smart (CS) traits and respective genetic resources and tools for their introduction into the cultivated sunflower, thus making it the oil crop resilient to the extreme climatic conditions and well-known and emerging pests and diseases. © Springer Nature Switzerland AG 2019.en
dc.publisherSpringer International Publishing
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/31025/RS//
dc.rightsrestrictedAccess
dc.sourceGenomic Designing of Climate-Smart Oilseed Crops
dc.subjectBreedingen
dc.subjectClimate changeen
dc.subjectGenomic selectionen
dc.subjectHelianthus annuusen
dc.subjectMASen
dc.subjectNew techniquesen
dc.subjectStress resistanceen
dc.titleSunflower and climate change: Possibilities of adaptation through breeding and genomic selectionen
dc.typebookPart
dc.rights.licenseARR
dc.citation.epage238
dc.citation.other: 173-238
dc.citation.spage173
dc.identifier.doi10.1007/978-3-319-93536-2_4
dc.identifier.scopus2-s2.0-85064547321
dc.type.versionpublishedVersion


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