Приказ основних података о документу

dc.creatorĆirić, Mihajlo
dc.creatorCurcić, Iyko
dc.creatorMirosavljević, Milan
dc.creatorMarjanović-Jeromela, Ana
dc.creatorJacimović, Goran
dc.creatorProdanović, Slaven
dc.creatorŽivanović, Tomislav
dc.date.accessioned2020-12-17T21:57:53Z
dc.date.available2020-12-17T21:57:53Z
dc.date.issued2017
dc.identifier.issn0534-0012
dc.identifier.urihttp://aspace.agrif.bg.ac.rs/handle/123456789/4408
dc.description.abstractSugar beet cultivars have different responses in various environments, such as different locations, years, mineral nutrition treatments or the combination of these factors, due to genotype x environment interaction. Additive main effect and multiplicative interaction (AMMI) is one of the most commonly used multivariate methods for analysis and visualization of genotype x environment interaction data. The main goals of the present study were to (i) investigate the application of AMMI method in the analysis of genotype x fertilizer interaction in sugar beet, (ii) to assess genotype x fertilizer interaction, and (iii) to identify sugar beet cultivars with the most stable response and high yield performance across different mineral nutrition treatments. The trial with eight sugar beet cultivars was conducted in two successive growing seasons at Rimski sancevi, Serbia. The different levels of nitrogen, phosphorous and potassium fertilizers (0, 50, 100 and 150 kg ha(-1)) and their combinations represented specific environments for testing genotype x fertilizer interaction. Results from the analysis of variance indicated that the fertilizer treatment, cultivars, and their interaction significantly affected root yield variation in both seasons. Results from our study suggest that AMMI model with two and three first IPCA axes were recommended in 2014 and 2015, respectively. According to AMMI 1 and AMMI 2 biplot, E14 and E15 were high yielding and among the most stable treatments in both years. Among high yielding genotypes in 2014, G4 and G8 stand out as the most stable, while in the following year G3 had the lowest interaction score. AMMI analysis enabled identification of specific associations between cultivars and different mineral nutrition treatments, which was important for adjustment of fertilizer management for each cultivar in order to achieve high root yield with decreased and more rational fertilizer doses.en
dc.publisherDruštvo genetičara Srbije, Beograd
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/31015/RS//
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceGenetika
dc.subjectBeta vulgaris L.en
dc.subjectG x E interactionen
dc.subjectmineral nutritionen
dc.subjectmultivariate analysisen
dc.subjectroot yielden
dc.titleAssessment of sugar beet root yield by ammi analysisen
dc.typearticle
dc.rights.licenseBY-NC-ND
dc.citation.epage675
dc.citation.issue2
dc.citation.other49(2): 663-675
dc.citation.rankM23
dc.citation.spage663
dc.citation.volume49
dc.identifier.doi10.2298/GENSR1702663C
dc.identifier.fulltexthttp://aspace.agrif.bg.ac.rs/bitstream/id/2954/4405.pdf
dc.identifier.scopus2-s2.0-85033564666
dc.identifier.wos000418533000023
dc.type.versionpublishedVersion


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Приказ основних података о документу