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dc.creatorRanđelović, Predrag
dc.creatorĐorđević, Vuk
dc.creatorMiladinović, Jegor
dc.creatorĆeran, Marina
dc.creatorJaćimović, Simona
dc.creatorĐukić, Vojin
dc.creatorVasiljević, Marjana
dc.date.accessioned2024-05-10T08:16:50Z
dc.date.available2024-05-10T08:16:50Z
dc.date.issued2024
dc.identifier.isbn978-961-6998-77-2
dc.identifier.urihttp://fiver.ifvcns.rs/handle/123456789/4564
dc.description.abstractIn the previous decade, new technologies based on remote sensing and photogrammetry were established as a powerful tool for non-destructive estimation of different plant traits. The high-throughput phenotyping (HTPP) implies the utilization of these tools and techniques, resulting in a fast and accurate assessment of crop development data. In soybean breeding, traditional phenotyping is recognized as a bottleneck in the current selection of superior lines mainly because of the inefficiency and resource consumption. The HTPP could be applied to overcome these shortcomings and not just for the prediction of plant characteristics from a single time point but also for perceiving crop growth based on multi-temporal data. This study aimed to analyze soybean growing patterns in different environments (drought and control) based on the estimated height and biomass of 206 genotypes (early and late varieties) sown in 2020 and 2021. In both seasons, each trait was predicted in eight-time points with previously developed HTPP models and protocols. The estimated values were used to create growing curves and evaluate analyzed genotypes based on their performance. Early varieties were dominant for both traits in drought conditions. In the control, the late material performed better regarding height while early genotypes accumulated more biomass.sr
dc.language.isoensr
dc.publisherLjubljana : Kmetijski inštitut Slovenijesr
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/771367/EU//sr
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceBook of Abstracts, ECOBREED Organic Breeding Conference, 17-19 January 2024, Ljubljana, Sloveniasr
dc.subjectsoybeansr
dc.subjecthigh-throughput phenotypingsr
dc.subjectgrowing patternssr
dc.subjectenvironmentssr
dc.titleSoybean and high-throughput phenotyping: perceiving growing patterns in different environmentssr
dc.typeconferenceObjectsr
dc.rights.licenseBYsr
dc.citation.epage49
dc.citation.spage49
dc.identifier.fulltexthttp://fiver.ifvcns.rs/bitstream/id/12135/bitstream_12135.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_fiver_4564
dc.type.versionpublishedVersionsr


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