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dc.contributorVollmann, Johann
dc.contributorVasiljević, Marjana
dc.contributorRittler, Leopold
dc.contributorMiladinović, Jegor
dc.contributorMurphy-Bokern, Donal
dc.creatorĐorđević, Vuk
dc.creatorMiladinović, Jegor
dc.creatorĆeran, Marina
dc.creatorRanđelović, Predrag
dc.creatorJaćimović, Simona
dc.creatorMilovac, Željko
dc.creatorVasiljević, Marjana
dc.creatorToncea, Ion
dc.creatorBernhart, Maria
dc.date.accessioned2023-08-11T07:20:47Z
dc.date.available2023-08-11T07:20:47Z
dc.date.issued2023
dc.identifier.isbn978-3-900397-09-8
dc.identifier.urihttp://fiver.ifvcns.rs/handle/123456789/3649
dc.description.abstractThe creation of focused breeding programs for organic farming systems was encouraged by the expanding market for organic farming. Breeding efforts are being stimulated by the rising demand for soybean varieties that are appropriate for organic farming in order to better meet the unique needs of those involved in the organic value chain. Within the ECOBREED project, extensive phenotyping on 200 soybean genotypes is carried out across contrasting environments in three countries, i.e. Austria, Romania and Serbia, which will enable the identification of useful traits (variation) and the level of local adaptation of genotypes. The following traits are assessed: yield and yield supportive traits, crop growth related traits, grain quality traits, plant architecture. Multi-trait genotype-ideotype distance index (MGIDI) implemented for genotypes selection, based on multiple traits. Classical linear multi-trait selection indices are available, but multi-collinearity and arbitrary weighting coefficient selection may erode genetic gains while.sr
dc.language.isoensr
dc.publisherVienna : University of Natural Resources and Life Sciences (BOKU)sr
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/771367/EU//sr
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceAbstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023sr
dc.subjectGlycine maxsr
dc.subjectsoybeansr
dc.subjectmulti-trait genotype-ideotype distance indexsr
dc.subjectMGIDIsr
dc.subjectorganic productionsr
dc.subjectphenotypingsr
dc.subjectideotypessr
dc.subjectorganic breedingsr
dc.subjectorganic farmingsr
dc.titleSoybean phenotyping: ideotypes for organic breedingsr
dc.typeconferenceObjectsr
dc.rights.licenseBYsr
dc.citation.epage133
dc.citation.spage133
dc.identifier.doi10.5281/zenodo.7974681
dc.identifier.fulltexthttp://fiver.ifvcns.rs/bitstream/id/9551/bitstream_9551.pdf
dc.type.versionpublishedVersionsr


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