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  1. Article

    Open Access

    High-throughput phenoty** for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data

    Biomass accumulation as a growth indicator can be significant in achieving high and stable soybean yields. More robust genotypes have a better potential for exploiting available resources such as water or sunl...

    Predrag Ranđelović, Vuk Đorđević, Jegor Miladinović, Slaven Prodanović in Plant Methods (2023)

  2. Article

    Open Access

    Author Correction: Increase of isoflavones in the aglycone form in soybeans by targeted crossings of cultivated breeding material

    An amendment to this paper has been published and can be accessed via a link at the top of the paper.

    Jegor Miladinović, Vuk Đorđević, Svetlana Balešević-Tubić in Scientific Reports (2019)

  3. Article

    Open Access

    Increase of isoflavones in the aglycone form in soybeans by targeted crossings of cultivated breeding material

    Isoflavones are a group of phytoestrogens, naturally-occurring substances important for their role in human health. Legumes, particularly soybeans (Glycine max (L.) Merr.), are the richest source of isoflavones i...

    Jegor Miladinović, Vuk Đorđević, Svetlana Balešević-Tubić in Scientific Reports (2019)

  4. No Access

    Article

    Exploring the performance of genomic prediction models for soybean yield using different validation approaches

    Genomic selection is a valuable breeding tool that has a great potential for implementation in a real breeding program, as long as prediction model performance is carefully evaluated for each specific scenario...

    Vuk Đorđević, Marina Ćeran, Jegor Miladinović in Molecular Breeding (2019)