TY  - JOUR
AU  - Miljaković, Dragana
AU  - Marinković, Jelena
AU  - Đorđević, Vuk
AU  - Vasiljević, Marjana
AU  - Tintor, Branislava
AU  - Jaćimović, Simona
AU  - Ristić, Žarko
PY  - 2024
UR  - http://fiver.ifvcns.rs/handle/123456789/4153
AB  - Background: The effectiveness of soybean inoculants in field conditions may be improved through the joint application of rhizobia and plant growth-promoting bacteria (PGPB). Plant nutrients may also contribute to the higher efficacy of microbial inoculants as well as the growth and development of plants. Methods: A field experiment was performed to evaluate the responses of the rhizomicrobiome and soybean to seed treatments with multiple bacterial strains (Bradyrhizobium japonicum, Bacillus subtilis, Bacillus megaterium and Azotobacter chroococcum), applied individually or in consortia, with and without nutrient complex (S, Mg, Mn, Fe, Zn, Cu, B and Mo).
PB  - Agricultural Research Communication Centre
T2  - Legume Research
T1  - Integrated use of Consortia-based Microbial Inoculants and Nutrient Complex Stimulates the Rhizosphere Microbiome and Soybean Productivity
EP  - 125
IS  - 1
SP  - 120
VL  - 47
DO  - 10.18805/LRF-762
ER  - 

@article{
author = "Miljaković, Dragana and Marinković, Jelena and Đorđević, Vuk and Vasiljević, Marjana and Tintor, Branislava and Jaćimović, Simona and Ristić, Žarko",
year = "2024",
abstract = "Background: The effectiveness of soybean inoculants in field conditions may be improved through the joint application of rhizobia and plant growth-promoting bacteria (PGPB). Plant nutrients may also contribute to the higher efficacy of microbial inoculants as well as the growth and development of plants. Methods: A field experiment was performed to evaluate the responses of the rhizomicrobiome and soybean to seed treatments with multiple bacterial strains (Bradyrhizobium japonicum, Bacillus subtilis, Bacillus megaterium and Azotobacter chroococcum), applied individually or in consortia, with and without nutrient complex (S, Mg, Mn, Fe, Zn, Cu, B and Mo).",
publisher = "Agricultural Research Communication Centre",
journal = "Legume Research",
title = "Integrated use of Consortia-based Microbial Inoculants and Nutrient Complex Stimulates the Rhizosphere Microbiome and Soybean Productivity",
pages = "125-120",
number = "1",
volume = "47",
doi = "10.18805/LRF-762"
}

Miljaković, D., Marinković, J., Đorđević, V., Vasiljević, M., Tintor, B., Jaćimović, S.,& Ristić, Ž.. (2024). Integrated use of Consortia-based Microbial Inoculants and Nutrient Complex Stimulates the Rhizosphere Microbiome and Soybean Productivity. in Legume Research
Agricultural Research Communication Centre., 47(1), 120-125.
https://doi.org/10.18805/LRF-762

Miljaković D, Marinković J, Đorđević V, Vasiljević M, Tintor B, Jaćimović S, Ristić Ž. Integrated use of Consortia-based Microbial Inoculants and Nutrient Complex Stimulates the Rhizosphere Microbiome and Soybean Productivity. in Legume Research. 2024;47(1):120-125.
doi:10.18805/LRF-762 .

Miljaković, Dragana, Marinković, Jelena, Đorđević, Vuk, Vasiljević, Marjana, Tintor, Branislava, Jaćimović, Simona, Ristić, Žarko, "Integrated use of Consortia-based Microbial Inoculants and Nutrient Complex Stimulates the Rhizosphere Microbiome and Soybean Productivity" in Legume Research, 47, no. 1 (2024):120-125,
https://doi.org/10.18805/LRF-762 . .

TY  - CONF
AU  - Ćeran, Marina
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Ranđelović, Predrag
AU  - Vasiljević, Marjana
AU  - Jaćimović, Simona
AU  - Đukić, Vojin
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3648
AB  - The accuracy of genomic selection can be affected by several factors including trait architecture and heritability, marker density, linkage disequilibrium between markers and trait loci, statistical models, training population size, composition, and population structure. The selection of a minimal and optimal marker set with high prediction accuracy as an alternative to reduce genotyping costs, computational time, and multicollinearity for the genomic selection is a challenging task. Furthermore, optimal training population size is mostly determined empirically, by random sampling a whole set of genotypes, which may not reflect the true relationships in the population and may lead to the loss of rare genotypes and alleles. Selective phenotyping could reduce the number of genotypes tested in the field while preserving the genetic diversity of the initial population. This study aimed to evaluate different methods of selective genotyping and phenotyping on the accuracy of genomic prediction for soybean yield.
PB  - Vienna : University of Natural Resources and Life Sciences (BOKU)
C3  - Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
T1  - Exploration of selective genotyping and selective phenotyping for optimization of soybean genomic prediction models
EP  - 153
SP  - 153
DO  - 10.5281/zenodo.7974681
ER  - 

@conference{
author = "Ćeran, Marina and Đorđević, Vuk and Miladinović, Jegor and Ranđelović, Predrag and Vasiljević, Marjana and Jaćimović, Simona and Đukić, Vojin",
year = "2023",
abstract = "The accuracy of genomic selection can be affected by several factors including trait architecture and heritability, marker density, linkage disequilibrium between markers and trait loci, statistical models, training population size, composition, and population structure. The selection of a minimal and optimal marker set with high prediction accuracy as an alternative to reduce genotyping costs, computational time, and multicollinearity for the genomic selection is a challenging task. Furthermore, optimal training population size is mostly determined empirically, by random sampling a whole set of genotypes, which may not reflect the true relationships in the population and may lead to the loss of rare genotypes and alleles. Selective phenotyping could reduce the number of genotypes tested in the field while preserving the genetic diversity of the initial population. This study aimed to evaluate different methods of selective genotyping and phenotyping on the accuracy of genomic prediction for soybean yield.",
publisher = "Vienna : University of Natural Resources and Life Sciences (BOKU)",
journal = "Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023",
title = "Exploration of selective genotyping and selective phenotyping for optimization of soybean genomic prediction models",
pages = "153-153",
doi = "10.5281/zenodo.7974681"
}

Ćeran, M., Đorđević, V., Miladinović, J., Ranđelović, P., Vasiljević, M., Jaćimović, S.,& Đukić, V.. (2023). Exploration of selective genotyping and selective phenotyping for optimization of soybean genomic prediction models. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
Vienna : University of Natural Resources and Life Sciences (BOKU)., 153-153.
https://doi.org/10.5281/zenodo.7974681

Ćeran M, Đorđević V, Miladinović J, Ranđelović P, Vasiljević M, Jaćimović S, Đukić V. Exploration of selective genotyping and selective phenotyping for optimization of soybean genomic prediction models. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023. 2023;:153-153.
doi:10.5281/zenodo.7974681 .

Ćeran, Marina, Đorđević, Vuk, Miladinović, Jegor, Ranđelović, Predrag, Vasiljević, Marjana, Jaćimović, Simona, Đukić, Vojin, "Exploration of selective genotyping and selective phenotyping for optimization of soybean genomic prediction models" in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023 (2023):153-153,
https://doi.org/10.5281/zenodo.7974681 . .

TY  - CONF
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Ćeran, Marina
AU  - Ranđelović, Predrag
AU  - Jaćimović, Simona
AU  - Milovac, Željko
AU  - Vasiljević, Marjana
AU  - Toncea, Ion
AU  - Bernhart, Maria
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3649
AB  - The 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.
PB  - Vienna : University of Natural Resources and Life Sciences (BOKU)
C3  - Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
T1  - Soybean phenotyping: ideotypes for organic breeding
EP  - 133
SP  - 133
DO  - 10.5281/zenodo.7974681
ER  - 

@conference{
author = "Đorđević, Vuk and Miladinović, Jegor and Ćeran, Marina and Ranđelović, Predrag and Jaćimović, Simona and Milovac, Željko and Vasiljević, Marjana and Toncea, Ion and Bernhart, Maria",
year = "2023",
abstract = "The 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.",
publisher = "Vienna : University of Natural Resources and Life Sciences (BOKU)",
journal = "Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023",
title = "Soybean phenotyping: ideotypes for organic breeding",
pages = "133-133",
doi = "10.5281/zenodo.7974681"
}

Đorđević, V., Miladinović, J., Ćeran, M., Ranđelović, P., Jaćimović, S., Milovac, Ž., Vasiljević, M., Toncea, I.,& Bernhart, M.. (2023). Soybean phenotyping: ideotypes for organic breeding. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
Vienna : University of Natural Resources and Life Sciences (BOKU)., 133-133.
https://doi.org/10.5281/zenodo.7974681

Đorđević V, Miladinović J, Ćeran M, Ranđelović P, Jaćimović S, Milovac Ž, Vasiljević M, Toncea I, Bernhart M. Soybean phenotyping: ideotypes for organic breeding. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023. 2023;:133-133.
doi:10.5281/zenodo.7974681 .

Đorđević, Vuk, Miladinović, Jegor, Ćeran, Marina, Ranđelović, Predrag, Jaćimović, Simona, Milovac, Željko, Vasiljević, Marjana, Toncea, Ion, Bernhart, Maria, "Soybean phenotyping: ideotypes for organic breeding" in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023 (2023):133-133,
https://doi.org/10.5281/zenodo.7974681 . .

TY  - CONF
AU  - Đorđević, Vuk
AU  - Ćeran, Marina
AU  - Jaćimović, Simona
AU  - Miladinović, Jegor
AU  - Vasiljević, Marjana
AU  - Ranđelović, Predrag
AU  - Marinković, Jelena
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3650
AB  - Phenomic selection is a promising complement and alternative to genomic selection for improving breeding efficiency. The major advantage of using near-infrared spectroscopy (NIRS) to indirectly capture phenotypic variants and predict complex traits is its high-throughput and low cost. Using NIR spectra to predict individual performances in the context of breeding for yield remains relatively novel. Certain wavelengths of NIR light are absorbed by specific chemical bonds that constitute the components of tissues. The relative proportion of each of these bonds within the tissue quantitatively influence the nature of the absorbance or reflection of light at different wavenumbers. Phenomic selection was tested on 206 soybean genotypes, collecting yield and NIRS data. Spectra were obtained from different tissues, grains and dried, milled leaves, measuring absorbance in range 4000 – 10000 cm−1. RR-BLUP model was used for phenomic predictions, considering NIRS data instead of molecular.
PB  - Vienna : University of Natural Resources and Life Sciences (BOKU)
C3  - Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
T1  - Phenomic selection in soybean breeding
EP  - 206
SP  - 206
DO  - 10.5281/zenodo.7974681
ER  - 

@conference{
author = "Đorđević, Vuk and Ćeran, Marina and Jaćimović, Simona and Miladinović, Jegor and Vasiljević, Marjana and Ranđelović, Predrag and Marinković, Jelena",
year = "2023",
abstract = "Phenomic selection is a promising complement and alternative to genomic selection for improving breeding efficiency. The major advantage of using near-infrared spectroscopy (NIRS) to indirectly capture phenotypic variants and predict complex traits is its high-throughput and low cost. Using NIR spectra to predict individual performances in the context of breeding for yield remains relatively novel. Certain wavelengths of NIR light are absorbed by specific chemical bonds that constitute the components of tissues. The relative proportion of each of these bonds within the tissue quantitatively influence the nature of the absorbance or reflection of light at different wavenumbers. Phenomic selection was tested on 206 soybean genotypes, collecting yield and NIRS data. Spectra were obtained from different tissues, grains and dried, milled leaves, measuring absorbance in range 4000 – 10000 cm−1. RR-BLUP model was used for phenomic predictions, considering NIRS data instead of molecular.",
publisher = "Vienna : University of Natural Resources and Life Sciences (BOKU)",
journal = "Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023",
title = "Phenomic selection in soybean breeding",
pages = "206-206",
doi = "10.5281/zenodo.7974681"
}

Đorđević, V., Ćeran, M., Jaćimović, S., Miladinović, J., Vasiljević, M., Ranđelović, P.,& Marinković, J.. (2023). Phenomic selection in soybean breeding. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
Vienna : University of Natural Resources and Life Sciences (BOKU)., 206-206.
https://doi.org/10.5281/zenodo.7974681

Đorđević V, Ćeran M, Jaćimović S, Miladinović J, Vasiljević M, Ranđelović P, Marinković J. Phenomic selection in soybean breeding. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023. 2023;:206-206.
doi:10.5281/zenodo.7974681 .

Đorđević, Vuk, Ćeran, Marina, Jaćimović, Simona, Miladinović, Jegor, Vasiljević, Marjana, Ranđelović, Predrag, Marinković, Jelena, "Phenomic selection in soybean breeding" in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023 (2023):206-206,
https://doi.org/10.5281/zenodo.7974681 . .

TY  - CONF
AU  - Jaćimović, Simona
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Vasiljević, Marjana
AU  - Ranđelović, Predrag
AU  - Ćeran, Marina
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3651
AB  - Soybean (Glycine max L. Merill) is a high‐value crop due to its high content of protein and oil, which contribute nutrients to both humans and animals. The objective of this study was to evaluate the effects of the winter cover crops on soybean nutritional quality. For this purpose, near‐infrared spectroscopy was used, due it is an extremely potent tool in plant‐related field of research for analysis. It is commonly used to estimate characteristics of grain including protein, starch, and oil content. Based on reliable calibration models, the spectral characteristics of the examined sample are related to the content of the component of interest. After mulching of cover crop biomass and conservation tillage, two soybean varieties were sown (NS Mercury, 00 maturity group and NS Altis, 0 maturity group). The field trial was grown under conventional production in agroecological conditions of Southeastern Europe at two sites (Rimski Šančevi and  Čurug locations) in 2021.
PB  - Vienna : University of Natural Resources and Life Sciences (BOKU)
C3  - Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
T1  - Soybean nutritional quality: introduction of the winter cover crops in soybean rotations
EP  - 281
SP  - 281
DO  - 10.5281/zenodo.7974681
ER  - 

@conference{
author = "Jaćimović, Simona and Đorđević, Vuk and Miladinović, Jegor and Vasiljević, Marjana and Ranđelović, Predrag and Ćeran, Marina",
year = "2023",
abstract = "Soybean (Glycine max L. Merill) is a high‐value crop due to its high content of protein and oil, which contribute nutrients to both humans and animals. The objective of this study was to evaluate the effects of the winter cover crops on soybean nutritional quality. For this purpose, near‐infrared spectroscopy was used, due it is an extremely potent tool in plant‐related field of research for analysis. It is commonly used to estimate characteristics of grain including protein, starch, and oil content. Based on reliable calibration models, the spectral characteristics of the examined sample are related to the content of the component of interest. After mulching of cover crop biomass and conservation tillage, two soybean varieties were sown (NS Mercury, 00 maturity group and NS Altis, 0 maturity group). The field trial was grown under conventional production in agroecological conditions of Southeastern Europe at two sites (Rimski Šančevi and  Čurug locations) in 2021.",
publisher = "Vienna : University of Natural Resources and Life Sciences (BOKU)",
journal = "Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023",
title = "Soybean nutritional quality: introduction of the winter cover crops in soybean rotations",
pages = "281-281",
doi = "10.5281/zenodo.7974681"
}

Jaćimović, S., Đorđević, V., Miladinović, J., Vasiljević, M., Ranđelović, P.,& Ćeran, M.. (2023). Soybean nutritional quality: introduction of the winter cover crops in soybean rotations. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
Vienna : University of Natural Resources and Life Sciences (BOKU)., 281-281.
https://doi.org/10.5281/zenodo.7974681

Jaćimović S, Đorđević V, Miladinović J, Vasiljević M, Ranđelović P, Ćeran M. Soybean nutritional quality: introduction of the winter cover crops in soybean rotations. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023. 2023;:281-281.
doi:10.5281/zenodo.7974681 .

Jaćimović, Simona, Đorđević, Vuk, Miladinović, Jegor, Vasiljević, Marjana, Ranđelović, Predrag, Ćeran, Marina, "Soybean nutritional quality: introduction of the winter cover crops in soybean rotations" in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023 (2023):281-281,
https://doi.org/10.5281/zenodo.7974681 . .

TY  - CONF
AU  - Ranđelović, Predrag
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Ćeran, Marina
AU  - Prodanović, Slaven
AU  - Jaćimović, Simona
AU  - Đukić, Vojin
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3657
AB  - The combined power of remote sensing and photogrammetry can be used to assess significant information about plant development. The canopy cover (CC) and height (HT) are important for defining the growth patterns of the plants and their reaction to different environmental conditions. The objective of this study was to utilize the technology of high-throughput phenotyping (HTPP) for the temporal screening of soybean CC and HT. The trial was set in 2020 and 2021 at the experimental fields of the Institute of Field and Vegetable Crops, Novi Sad, Serbia. In total, 206 soybean genotypes divided into early (ED) and late (LD) were grown in drought simulation environments. As a control, the same set of genotypes (EC and LC) was grown in favorable conditions. The CC and HT were determined from the images collected with the unmanned aerial vehicle (UAV). In both years, the photos were taken four times at approximately 274, 390, 706, and 917 growing degree days (GDDs) after emergence.
PB  - Vienna : University of Natural Resources and Life Sciences (BOKU)
C3  - Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
T1  - High-throughput phenotyping for temporal screening of soybean canopy cover and height assessed in different environments
EP  - 114
SP  - 114
DO  - 10.5281/zenodo.7974681
ER  - 

@conference{
author = "Ranđelović, Predrag and Đorđević, Vuk and Miladinović, Jegor and Ćeran, Marina and Prodanović, Slaven and Jaćimović, Simona and Đukić, Vojin",
year = "2023",
abstract = "The combined power of remote sensing and photogrammetry can be used to assess significant information about plant development. The canopy cover (CC) and height (HT) are important for defining the growth patterns of the plants and their reaction to different environmental conditions. The objective of this study was to utilize the technology of high-throughput phenotyping (HTPP) for the temporal screening of soybean CC and HT. The trial was set in 2020 and 2021 at the experimental fields of the Institute of Field and Vegetable Crops, Novi Sad, Serbia. In total, 206 soybean genotypes divided into early (ED) and late (LD) were grown in drought simulation environments. As a control, the same set of genotypes (EC and LC) was grown in favorable conditions. The CC and HT were determined from the images collected with the unmanned aerial vehicle (UAV). In both years, the photos were taken four times at approximately 274, 390, 706, and 917 growing degree days (GDDs) after emergence.",
publisher = "Vienna : University of Natural Resources and Life Sciences (BOKU)",
journal = "Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023",
title = "High-throughput phenotyping for temporal screening of soybean canopy cover and height assessed in different environments",
pages = "114-114",
doi = "10.5281/zenodo.7974681"
}

Ranđelović, P., Đorđević, V., Miladinović, J., Ćeran, M., Prodanović, S., Jaćimović, S.,& Đukić, V.. (2023). High-throughput phenotyping for temporal screening of soybean canopy cover and height assessed in different environments. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
Vienna : University of Natural Resources and Life Sciences (BOKU)., 114-114.
https://doi.org/10.5281/zenodo.7974681

Ranđelović P, Đorđević V, Miladinović J, Ćeran M, Prodanović S, Jaćimović S, Đukić V. High-throughput phenotyping for temporal screening of soybean canopy cover and height assessed in different environments. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023. 2023;:114-114.
doi:10.5281/zenodo.7974681 .

Ranđelović, Predrag, Đorđević, Vuk, Miladinović, Jegor, Ćeran, Marina, Prodanović, Slaven, Jaćimović, Simona, Đukić, Vojin, "High-throughput phenotyping for temporal screening of soybean canopy cover and height assessed in different environments" in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023 (2023):114-114,
https://doi.org/10.5281/zenodo.7974681 . .

TY  - CONF
AU  - Vasiljević, Marjana
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Šeremešić, Srđan
AU  - Ćeran, Marina
AU  - Kosanović, Jovica
AU  - Aćin, Vladimir
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3658
AB  - Cover crops are being used as a tool to reflect agro-ecosystem services. Cover crops differ in the traits by which they capture resources and influence the local agro-ecosystem. The aim of the research was to examine the effects of the winter cover crops in soybean production through the analysis of yield in the two sustainable cultivation systems (organic and low input) during 2021. The experiments were set up according to the block system method with random plots in four replications at two locations Čurug and Rimski šančevi, Serbia. Winter cover crops were following: pure rye crop (R) and a mixture of peas and oats (P+O) (85:15), while the control treatment (C) was an area without cover crops. It was assumed that soybean will respond positively to the selected treatments, which resulted in an increase in grain yield. Yield and yield parameters positively reacted on mixture (P+O) as a pre crop.
PB  - Vienna : University of Natural Resources and Life Sciences (BOKU)
C3  - Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
T1  - Organic and low input soybean production: role of winter cover crops in production systems and its effect on yield parameters
EP  - 364
SP  - 364
DO  - 10.5281/zenodo.7974681
ER  - 

@conference{
author = "Vasiljević, Marjana and Đorđević, Vuk and Miladinović, Jegor and Šeremešić, Srđan and Ćeran, Marina and Kosanović, Jovica and Aćin, Vladimir",
year = "2023",
abstract = "Cover crops are being used as a tool to reflect agro-ecosystem services. Cover crops differ in the traits by which they capture resources and influence the local agro-ecosystem. The aim of the research was to examine the effects of the winter cover crops in soybean production through the analysis of yield in the two sustainable cultivation systems (organic and low input) during 2021. The experiments were set up according to the block system method with random plots in four replications at two locations Čurug and Rimski šančevi, Serbia. Winter cover crops were following: pure rye crop (R) and a mixture of peas and oats (P+O) (85:15), while the control treatment (C) was an area without cover crops. It was assumed that soybean will respond positively to the selected treatments, which resulted in an increase in grain yield. Yield and yield parameters positively reacted on mixture (P+O) as a pre crop.",
publisher = "Vienna : University of Natural Resources and Life Sciences (BOKU)",
journal = "Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023",
title = "Organic and low input soybean production: role of winter cover crops in production systems and its effect on yield parameters",
pages = "364-364",
doi = "10.5281/zenodo.7974681"
}

Vasiljević, M., Đorđević, V., Miladinović, J., Šeremešić, S., Ćeran, M., Kosanović, J.,& Aćin, V.. (2023). Organic and low input soybean production: role of winter cover crops in production systems and its effect on yield parameters. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
Vienna : University of Natural Resources and Life Sciences (BOKU)., 364-364.
https://doi.org/10.5281/zenodo.7974681

Vasiljević M, Đorđević V, Miladinović J, Šeremešić S, Ćeran M, Kosanović J, Aćin V. Organic and low input soybean production: role of winter cover crops in production systems and its effect on yield parameters. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023. 2023;:364-364.
doi:10.5281/zenodo.7974681 .

Vasiljević, Marjana, Đorđević, Vuk, Miladinović, Jegor, Šeremešić, Srđan, Ćeran, Marina, Kosanović, Jovica, Aćin, Vladimir, "Organic and low input soybean production: role of winter cover crops in production systems and its effect on yield parameters" in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023 (2023):364-364,
https://doi.org/10.5281/zenodo.7974681 . .

TY  - JOUR
AU  - Ranđelović, Predrag
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Prodanović, Slaven
AU  - Ćeran, Marina
AU  - Vollmann, Johann
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/4064
AB  - 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 sunlight. Biomass data implemented as a new trait in soybean breeding programs could be beneficial in the selection of varieties that are more competitive against weeds and have better radiation use efficiency. The standard techniques for biomass determination are invasive, inefficient, and restricted to one-time point per plot. Machine learning models (MLMs) based on the multispectral (MS) images were created so as to overcome these issues and provide a non-destructive, fast, and accurate tool for in-season estimation of soybean fresh biomass (FB). The MS photos were taken during two growing seasons of 10 soybean varieties, using six-sensor digital camera mounted on the unmanned aerial vehicle (UAV). For model calibration, canopy cover (CC), plant height (PH), and 31 vegetation index (VI) were extracted from the images and used as predictors in the random forest (RF) and partial least squares regression (PLSR) algorithm. To create a more efficient model, highly correlated VIs were excluded and only the triangular greenness index (TGI) and green chlorophyll index (GCI) remained.
PB  - Springer Nature
T2  - Plant Methods
T1  - High-throughput phenotyping for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data
VL  - 19
DO  - 10.1186/s13007-023-01054-6
ER  - 

@article{
author = "Ranđelović, Predrag and Đorđević, Vuk and Miladinović, Jegor and Prodanović, Slaven and Ćeran, Marina and Vollmann, Johann",
year = "2023",
abstract = "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 sunlight. Biomass data implemented as a new trait in soybean breeding programs could be beneficial in the selection of varieties that are more competitive against weeds and have better radiation use efficiency. The standard techniques for biomass determination are invasive, inefficient, and restricted to one-time point per plot. Machine learning models (MLMs) based on the multispectral (MS) images were created so as to overcome these issues and provide a non-destructive, fast, and accurate tool for in-season estimation of soybean fresh biomass (FB). The MS photos were taken during two growing seasons of 10 soybean varieties, using six-sensor digital camera mounted on the unmanned aerial vehicle (UAV). For model calibration, canopy cover (CC), plant height (PH), and 31 vegetation index (VI) were extracted from the images and used as predictors in the random forest (RF) and partial least squares regression (PLSR) algorithm. To create a more efficient model, highly correlated VIs were excluded and only the triangular greenness index (TGI) and green chlorophyll index (GCI) remained.",
publisher = "Springer Nature",
journal = "Plant Methods",
title = "High-throughput phenotyping for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data",
volume = "19",
doi = "10.1186/s13007-023-01054-6"
}

Ranđelović, P., Đorđević, V., Miladinović, J., Prodanović, S., Ćeran, M.,& Vollmann, J.. (2023). High-throughput phenotyping for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data. in Plant Methods
Springer Nature., 19.
https://doi.org/10.1186/s13007-023-01054-6

Ranđelović P, Đorđević V, Miladinović J, Prodanović S, Ćeran M, Vollmann J. High-throughput phenotyping for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data. in Plant Methods. 2023;19.
doi:10.1186/s13007-023-01054-6 .

Ranđelović, Predrag, Đorđević, Vuk, Miladinović, Jegor, Prodanović, Slaven, Ćeran, Marina, Vollmann, Johann, "High-throughput phenotyping for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data" in Plant Methods, 19 (2023),
https://doi.org/10.1186/s13007-023-01054-6 . .

TY  - CONF
AU  - Krstić, Jovana
AU  - Malidža, Goran
AU  - Rajković, Miloš
AU  - Đorđević, Vuk
AU  - Zorić, Miroslav
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3652
AB  - The goal of our research was to examine the competitive ability of selected soybean varieties and invasive weeds, and opportunity to select the most competitive soybean varieties based on their dry plant biomass. Field trials were conducted in 2020 and 2021 at location Novi Sad. Three varieties of soybeans with different morphological traits from the same maturity group (NS Apolo, Fortuna, NS Zmaj) and three very harmful and difficult to control invasive weeds (Abutilon theophrasti, Ambrosia artemisiifolia and Xanthium strumarium) were selected for the tests. The additive design with four replications were used. Soybean was sown at a density of 450,000 seeds ha‐1 and six rows per plot with inter‐row spacing of 50 cm. After soybean sowing, all weeds were sowed on the same time in four densities by hand (0.5, 1, 5 and 10 weeds per m‐1).
PB  - Vienna : University of Natural Resources and Life Sciences (BOKU)
C3  - Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
T1  - The influence of different densities of invasive weeds on the dry plant biomass of soybean
EP  - 496
SP  - 496
DO  - 10.5281/zenodo.7974681
ER  - 

@conference{
author = "Krstić, Jovana and Malidža, Goran and Rajković, Miloš and Đorđević, Vuk and Zorić, Miroslav",
year = "2023",
abstract = "The goal of our research was to examine the competitive ability of selected soybean varieties and invasive weeds, and opportunity to select the most competitive soybean varieties based on their dry plant biomass. Field trials were conducted in 2020 and 2021 at location Novi Sad. Three varieties of soybeans with different morphological traits from the same maturity group (NS Apolo, Fortuna, NS Zmaj) and three very harmful and difficult to control invasive weeds (Abutilon theophrasti, Ambrosia artemisiifolia and Xanthium strumarium) were selected for the tests. The additive design with four replications were used. Soybean was sown at a density of 450,000 seeds ha‐1 and six rows per plot with inter‐row spacing of 50 cm. After soybean sowing, all weeds were sowed on the same time in four densities by hand (0.5, 1, 5 and 10 weeds per m‐1).",
publisher = "Vienna : University of Natural Resources and Life Sciences (BOKU)",
journal = "Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023",
title = "The influence of different densities of invasive weeds on the dry plant biomass of soybean",
pages = "496-496",
doi = "10.5281/zenodo.7974681"
}

Krstić, J., Malidža, G., Rajković, M., Đorđević, V.,& Zorić, M.. (2023). The influence of different densities of invasive weeds on the dry plant biomass of soybean. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
Vienna : University of Natural Resources and Life Sciences (BOKU)., 496-496.
https://doi.org/10.5281/zenodo.7974681

Krstić J, Malidža G, Rajković M, Đorđević V, Zorić M. The influence of different densities of invasive weeds on the dry plant biomass of soybean. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023. 2023;:496-496.
doi:10.5281/zenodo.7974681 .

Krstić, Jovana, Malidža, Goran, Rajković, Miloš, Đorđević, Vuk, Zorić, Miroslav, "The influence of different densities of invasive weeds on the dry plant biomass of soybean" in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023 (2023):496-496,
https://doi.org/10.5281/zenodo.7974681 . .

TY  - CONF
AU  - Krstić, Jovana
AU  - Malidža, Goran
AU  - Rajković, Miloš
AU  - Đorđević, Vuk
AU  - Zorić, Miroslav
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3653
AB  - The goal of our research was to examine the competitive ability of selected soybean varieties and invasive weeds, and opportunity to select the most competitive soybean varieties based on the loss of crop grain yield. Field trials with competition between three soybean varieties (NS Apolo, Fortuna, NS Zmaj) and three invasive weeds (Abutilon theophrasti, Ambrosia artemisiifolia and Xanthium strumarium) were conducted in 2020 and 2021 at location Novi Sad. The additive design with four replications were used. Soybean was sown at a density of 450,000 seeds ha‐1 and six rows per plot with inter‐row spacing of 50 cm. Weeds were sown at the same time with densities of 0.5, 1, 5 and 10 weeds per m‐1 of soybean row. The three central rows of the plot were used to calculate the soybean grain yield.
PB  - Vienna : University of Natural Resources and Life Sciences (BOKU)
C3  - Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
T1  - Competition between different soybean varieties and selected broadleaf invasive weeds
EP  - 495
SP  - 495
DO  - 10.5281/zenodo.7974681
ER  - 

@conference{
author = "Krstić, Jovana and Malidža, Goran and Rajković, Miloš and Đorđević, Vuk and Zorić, Miroslav",
year = "2023",
abstract = "The goal of our research was to examine the competitive ability of selected soybean varieties and invasive weeds, and opportunity to select the most competitive soybean varieties based on the loss of crop grain yield. Field trials with competition between three soybean varieties (NS Apolo, Fortuna, NS Zmaj) and three invasive weeds (Abutilon theophrasti, Ambrosia artemisiifolia and Xanthium strumarium) were conducted in 2020 and 2021 at location Novi Sad. The additive design with four replications were used. Soybean was sown at a density of 450,000 seeds ha‐1 and six rows per plot with inter‐row spacing of 50 cm. Weeds were sown at the same time with densities of 0.5, 1, 5 and 10 weeds per m‐1 of soybean row. The three central rows of the plot were used to calculate the soybean grain yield.",
publisher = "Vienna : University of Natural Resources and Life Sciences (BOKU)",
journal = "Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023",
title = "Competition between different soybean varieties and selected broadleaf invasive weeds",
pages = "495-495",
doi = "10.5281/zenodo.7974681"
}

Krstić, J., Malidža, G., Rajković, M., Đorđević, V.,& Zorić, M.. (2023). Competition between different soybean varieties and selected broadleaf invasive weeds. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
Vienna : University of Natural Resources and Life Sciences (BOKU)., 495-495.
https://doi.org/10.5281/zenodo.7974681

Krstić J, Malidža G, Rajković M, Đorđević V, Zorić M. Competition between different soybean varieties and selected broadleaf invasive weeds. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023. 2023;:495-495.
doi:10.5281/zenodo.7974681 .

Krstić, Jovana, Malidža, Goran, Rajković, Miloš, Đorđević, Vuk, Zorić, Miroslav, "Competition between different soybean varieties and selected broadleaf invasive weeds" in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023 (2023):495-495,
https://doi.org/10.5281/zenodo.7974681 . .

TY  - CONF
AU  - Milovac, Željko
AU  - Franeta, Filip
AU  - Vasiljević, Marjana
AU  - Đorđević, Vuk
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3656
AB  - Abundance of Halyomorpha halys (Stål), the brown marmorated stink bug (BMSB), and Nezara viridula (L.), the southern green stink bug (SGSB), after their introduction on the territory of Europe, has been constantly increasing. In order to assess potential damage, a set of trials was conducted in semi‐controlled, field conditions in isolation cages, 1 m in diameter and 1.8 m in height, during 2020 and 2021. Testing was done on five different soybean varieties that belong to 00‐III maturity groups (Fortuna, Romansa, Princeza, Sava and Senka). There were three types of treatments/cages, a control treatment without stink bugs (C), a treatment with BMSB specimens and a third treatment with SGSB specimens. In each isolation cage with stink bugs five specimens per plant were introduced. The results showed significant effects of stink bugs feeding on soybean plants. In 2020 the number of seeds per plant, average for all five varieties, was the highest in the C (118.9) while BMSB and SGSB treatments were with much less seeds (10.7 and 6.5 respectively).
PB  - Vienna : University of Natural Resources and Life Sciences (BOKU)
C3  - Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
T1  - Influence of two stink bug species (Heteroptera: Pentatomidae) on soybean morphological traits
EP  - 463
SP  - 463
DO  - 10.5281/zenodo.7974681
ER  - 

@conference{
author = "Milovac, Željko and Franeta, Filip and Vasiljević, Marjana and Đorđević, Vuk",
year = "2023",
abstract = "Abundance of Halyomorpha halys (Stål), the brown marmorated stink bug (BMSB), and Nezara viridula (L.), the southern green stink bug (SGSB), after their introduction on the territory of Europe, has been constantly increasing. In order to assess potential damage, a set of trials was conducted in semi‐controlled, field conditions in isolation cages, 1 m in diameter and 1.8 m in height, during 2020 and 2021. Testing was done on five different soybean varieties that belong to 00‐III maturity groups (Fortuna, Romansa, Princeza, Sava and Senka). There were three types of treatments/cages, a control treatment without stink bugs (C), a treatment with BMSB specimens and a third treatment with SGSB specimens. In each isolation cage with stink bugs five specimens per plant were introduced. The results showed significant effects of stink bugs feeding on soybean plants. In 2020 the number of seeds per plant, average for all five varieties, was the highest in the C (118.9) while BMSB and SGSB treatments were with much less seeds (10.7 and 6.5 respectively).",
publisher = "Vienna : University of Natural Resources and Life Sciences (BOKU)",
journal = "Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023",
title = "Influence of two stink bug species (Heteroptera: Pentatomidae) on soybean morphological traits",
pages = "463-463",
doi = "10.5281/zenodo.7974681"
}

Milovac, Ž., Franeta, F., Vasiljević, M.,& Đorđević, V.. (2023). Influence of two stink bug species (Heteroptera: Pentatomidae) on soybean morphological traits. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
Vienna : University of Natural Resources and Life Sciences (BOKU)., 463-463.
https://doi.org/10.5281/zenodo.7974681

Milovac Ž, Franeta F, Vasiljević M, Đorđević V. Influence of two stink bug species (Heteroptera: Pentatomidae) on soybean morphological traits. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023. 2023;:463-463.
doi:10.5281/zenodo.7974681 .

Milovac, Željko, Franeta, Filip, Vasiljević, Marjana, Đorđević, Vuk, "Influence of two stink bug species (Heteroptera: Pentatomidae) on soybean morphological traits" in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023 (2023):463-463,
https://doi.org/10.5281/zenodo.7974681 . .

TY  - CONF
AU  - Vasiljević, Marjana
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Bernhart, Maria
AU  - Meglič, Vladimir
AU  - Toncea, Ion
AU  - Vogt-Kaute, Werner
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3659
AB  - As a part of the ECOBREED project, farmer participatory trials for organic soybean production were set up in Serbia, Germany, Romania, Austria and Slovenia (seasons 2021 and 2022). By setting up trials direct with organic producers, it was enabled that farmers assess the adaptability of the soybean varieties for organic production in specific agro-ecological conditions at their farm locations. This is one practical tool that enables organic producers to contribute and to be involved in the process of creating new soybean varieties, especially in crops composite population (CCPs) observations together with breeders. ECOBREED farmer participatory trials for organic soybean comprised field testings of soybean varieties from three breeding institutions from Serbia, Austria and Romania (Serbia-Institute of Field and Vegetable Crops, Austria-Saatzucht Gleisdorf, Romania-NARDI-Funduela). The network of organic participatory farms was established in 2021 at 17 locations in 5 European countries.
PB  - Vienna : University of Natural Resources and Life Sciences (BOKU)
C3  - Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
T1  - ECOBREED participatory trials as valuable tool for farmer involvement in soybean breeding process
EP  - 365
SP  - 365
DO  - 10.5281/zenodo.7974681
ER  - 

@conference{
author = "Vasiljević, Marjana and Đorđević, Vuk and Miladinović, Jegor and Bernhart, Maria and Meglič, Vladimir and Toncea, Ion and Vogt-Kaute, Werner",
year = "2023",
abstract = "As a part of the ECOBREED project, farmer participatory trials for organic soybean production were set up in Serbia, Germany, Romania, Austria and Slovenia (seasons 2021 and 2022). By setting up trials direct with organic producers, it was enabled that farmers assess the adaptability of the soybean varieties for organic production in specific agro-ecological conditions at their farm locations. This is one practical tool that enables organic producers to contribute and to be involved in the process of creating new soybean varieties, especially in crops composite population (CCPs) observations together with breeders. ECOBREED farmer participatory trials for organic soybean comprised field testings of soybean varieties from three breeding institutions from Serbia, Austria and Romania (Serbia-Institute of Field and Vegetable Crops, Austria-Saatzucht Gleisdorf, Romania-NARDI-Funduela). The network of organic participatory farms was established in 2021 at 17 locations in 5 European countries.",
publisher = "Vienna : University of Natural Resources and Life Sciences (BOKU)",
journal = "Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023",
title = "ECOBREED participatory trials as valuable tool for farmer involvement in soybean breeding process",
pages = "365-365",
doi = "10.5281/zenodo.7974681"
}

Vasiljević, M., Đorđević, V., Miladinović, J., Bernhart, M., Meglič, V., Toncea, I.,& Vogt-Kaute, W.. (2023). ECOBREED participatory trials as valuable tool for farmer involvement in soybean breeding process. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023
Vienna : University of Natural Resources and Life Sciences (BOKU)., 365-365.
https://doi.org/10.5281/zenodo.7974681

Vasiljević M, Đorđević V, Miladinović J, Bernhart M, Meglič V, Toncea I, Vogt-Kaute W. ECOBREED participatory trials as valuable tool for farmer involvement in soybean breeding process. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023. 2023;:365-365.
doi:10.5281/zenodo.7974681 .

Vasiljević, Marjana, Đorđević, Vuk, Miladinović, Jegor, Bernhart, Maria, Meglič, Vladimir, Toncea, Ion, Vogt-Kaute, Werner, "ECOBREED participatory trials as valuable tool for farmer involvement in soybean breeding process" in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023 (2023):365-365,
https://doi.org/10.5281/zenodo.7974681 . .

TY  - CONF
AU  - Krstić, Jovana
AU  - Malidža, Goran
AU  - Rajković, Miloš
AU  - Đorđević, Vuk
AU  - Zorić, Miroslav
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/4176
AB  - Invazivni korovi Abutilon theophrasti, Ambrosia artemisiifolia i Xanthium strumarium, predstavljaju veliki izazov u proizvodnji soje i mogu značajno smanjiti prinos i profitabilnost ovog useva. Njihovo suzbijanje je otežano, jer između ostalog, mogu da klijaju i niču na većim dubinama zemljišta što otežava njihovo hemijsko i mehaničko suzbijanje, a kod nekih vrsta je potvrđena rezistentnost na pojedine herbicide. Iz ovih razloga upotreba konkurentnijih genotipova soje prema korovima može da bude značajan deo integralnog sistema suzbijanja korova, a posebno u organskoj proizvodnji. Cilj ogleda je bio da se ispitaju kompetitivne sposobnosti tri genotipa soje i odabranih invazivnih korova na osnovu gubitka prinosa semena.
PB  - Beograd : Društvo za zaštitu bilja Srbije
C3  - Zbornik rezimea radova, 17. Simpozijum o zaštiti bilja, Zlatibor, 27-30. novembar 2023.
T1  - Uticaj različitih gustina odabranih invazivnih korova na prinos semena tri genotipa soje
EP  - 23
SP  - 23
UR  - https://hdl.handle.net/21.15107/rcub_fiver_4176
ER  - 

@conference{
author = "Krstić, Jovana and Malidža, Goran and Rajković, Miloš and Đorđević, Vuk and Zorić, Miroslav",
year = "2023",
abstract = "Invazivni korovi Abutilon theophrasti, Ambrosia artemisiifolia i Xanthium strumarium, predstavljaju veliki izazov u proizvodnji soje i mogu značajno smanjiti prinos i profitabilnost ovog useva. Njihovo suzbijanje je otežano, jer između ostalog, mogu da klijaju i niču na većim dubinama zemljišta što otežava njihovo hemijsko i mehaničko suzbijanje, a kod nekih vrsta je potvrđena rezistentnost na pojedine herbicide. Iz ovih razloga upotreba konkurentnijih genotipova soje prema korovima može da bude značajan deo integralnog sistema suzbijanja korova, a posebno u organskoj proizvodnji. Cilj ogleda je bio da se ispitaju kompetitivne sposobnosti tri genotipa soje i odabranih invazivnih korova na osnovu gubitka prinosa semena.",
publisher = "Beograd : Društvo za zaštitu bilja Srbije",
journal = "Zbornik rezimea radova, 17. Simpozijum o zaštiti bilja, Zlatibor, 27-30. novembar 2023.",
title = "Uticaj različitih gustina odabranih invazivnih korova na prinos semena tri genotipa soje",
pages = "23-23",
url = "https://hdl.handle.net/21.15107/rcub_fiver_4176"
}

Krstić, J., Malidža, G., Rajković, M., Đorđević, V.,& Zorić, M.. (2023). Uticaj različitih gustina odabranih invazivnih korova na prinos semena tri genotipa soje. in Zbornik rezimea radova, 17. Simpozijum o zaštiti bilja, Zlatibor, 27-30. novembar 2023.
Beograd : Društvo za zaštitu bilja Srbije., 23-23.
https://hdl.handle.net/21.15107/rcub_fiver_4176

Krstić J, Malidža G, Rajković M, Đorđević V, Zorić M. Uticaj različitih gustina odabranih invazivnih korova na prinos semena tri genotipa soje. in Zbornik rezimea radova, 17. Simpozijum o zaštiti bilja, Zlatibor, 27-30. novembar 2023.. 2023;:23-23.
https://hdl.handle.net/21.15107/rcub_fiver_4176 .

Krstić, Jovana, Malidža, Goran, Rajković, Miloš, Đorđević, Vuk, Zorić, Miroslav, "Uticaj različitih gustina odabranih invazivnih korova na prinos semena tri genotipa soje" in Zbornik rezimea radova, 17. Simpozijum o zaštiti bilja, Zlatibor, 27-30. novembar 2023. (2023):23-23,
https://hdl.handle.net/21.15107/rcub_fiver_4176 .

TY  - CONF
AU  - Vasiljević, Marjana
AU  - Đorđević, Vuk
AU  - Ranđelović, Predrag
AU  - Miladinović, Jegor
AU  - Milovac, Željko
AU  - Ćeran, Marina
AU  - Marić, Darko
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/2657
AB  - Due to the rising demand for organic food products and increased availability of organic products, global production of organically grown crops has increased. In 2020, organic agriculture was practised in 187 countries worldwide, on 72.3 million ha of agricultural land by at least 3.1 million farmers. The area of organically managed soybean worldwide was 644 323 ha. Soybean production is of great importance since the soybean grain is used in various industries, including human as well as animal nutrition and pharmaceutical production. Soybean has a special place in organic cultivation because it brings different agronomic benefits to farmers and it is considered a niche product for feed and food use. Furthermore, soybean is primarily a climate-smart crop that conserves soil fertility for increased productivity of other important field crops, and its place in organic production is very valuable. The importance of soybean comes from the exceptionally favorable grain chemical composition (≈40% protein, ≈20% lipids). Soybeans are relatively easy to produce under organic conditions due to available production technology. One of the most important tasks for farmer is to select soybean varieties for specific production conditions.
PB  - Tulln an der Donau : Universität für Bodenkultur Wien, Department für Nutzpflanzenwissenschaften, Institut für Pflanzenzüchtung
C3  - Proceedings, 72nd Conference "Plant Breeding for the Green Deal" / Tagungsband der 72. Jahrestagung der Vereinigung der Pflanzenzüchter und Saatgutkaufleute Österreichs, 22-24 November 2021, Online Conference, Raumberg-Gumpenstein
T1  - ECOBREED participatory trials for organic soybean production in Serbia
EP  - 84
SP  - 83
DO  - 10.5281/zenodo.5667799
ER  - 

@conference{
author = "Vasiljević, Marjana and Đorđević, Vuk and Ranđelović, Predrag and Miladinović, Jegor and Milovac, Željko and Ćeran, Marina and Marić, Darko",
year = "2022",
abstract = "Due to the rising demand for organic food products and increased availability of organic products, global production of organically grown crops has increased. In 2020, organic agriculture was practised in 187 countries worldwide, on 72.3 million ha of agricultural land by at least 3.1 million farmers. The area of organically managed soybean worldwide was 644 323 ha. Soybean production is of great importance since the soybean grain is used in various industries, including human as well as animal nutrition and pharmaceutical production. Soybean has a special place in organic cultivation because it brings different agronomic benefits to farmers and it is considered a niche product for feed and food use. Furthermore, soybean is primarily a climate-smart crop that conserves soil fertility for increased productivity of other important field crops, and its place in organic production is very valuable. The importance of soybean comes from the exceptionally favorable grain chemical composition (≈40% protein, ≈20% lipids). Soybeans are relatively easy to produce under organic conditions due to available production technology. One of the most important tasks for farmer is to select soybean varieties for specific production conditions.",
publisher = "Tulln an der Donau : Universität für Bodenkultur Wien, Department für Nutzpflanzenwissenschaften, Institut für Pflanzenzüchtung",
journal = "Proceedings, 72nd Conference "Plant Breeding for the Green Deal" / Tagungsband der 72. Jahrestagung der Vereinigung der Pflanzenzüchter und Saatgutkaufleute Österreichs, 22-24 November 2021, Online Conference, Raumberg-Gumpenstein",
title = "ECOBREED participatory trials for organic soybean production in Serbia",
pages = "84-83",
doi = "10.5281/zenodo.5667799"
}

Vasiljević, M., Đorđević, V., Ranđelović, P., Miladinović, J., Milovac, Ž., Ćeran, M.,& Marić, D.. (2022). ECOBREED participatory trials for organic soybean production in Serbia. in Proceedings, 72nd Conference "Plant Breeding for the Green Deal" / Tagungsband der 72. Jahrestagung der Vereinigung der Pflanzenzüchter und Saatgutkaufleute Österreichs, 22-24 November 2021, Online Conference, Raumberg-Gumpenstein
Tulln an der Donau : Universität für Bodenkultur Wien, Department für Nutzpflanzenwissenschaften, Institut für Pflanzenzüchtung., 83-84.
https://doi.org/10.5281/zenodo.5667799

Vasiljević M, Đorđević V, Ranđelović P, Miladinović J, Milovac Ž, Ćeran M, Marić D. ECOBREED participatory trials for organic soybean production in Serbia. in Proceedings, 72nd Conference "Plant Breeding for the Green Deal" / Tagungsband der 72. Jahrestagung der Vereinigung der Pflanzenzüchter und Saatgutkaufleute Österreichs, 22-24 November 2021, Online Conference, Raumberg-Gumpenstein. 2022;:83-84.
doi:10.5281/zenodo.5667799 .

Vasiljević, Marjana, Đorđević, Vuk, Ranđelović, Predrag, Miladinović, Jegor, Milovac, Željko, Ćeran, Marina, Marić, Darko, "ECOBREED participatory trials for organic soybean production in Serbia" in Proceedings, 72nd Conference "Plant Breeding for the Green Deal" / Tagungsband der 72. Jahrestagung der Vereinigung der Pflanzenzüchter und Saatgutkaufleute Österreichs, 22-24 November 2021, Online Conference, Raumberg-Gumpenstein (2022):83-84,
https://doi.org/10.5281/zenodo.5667799 . .

TY  - CONF
AU  - Đorđević, Vuk
AU  - Vasiljević, Marjana
AU  - Ranđelović, Predrag
AU  - Miladinović, Jegor
AU  - Ćeran, Marina
AU  - Bernhart, Maria
AU  - Toncea, Ion
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/2658
AB  - Organic farming is practiced on over 72 million hectares of agricultural land worldwide. Soybean (Glycine max) is cultivated organically on 644 323 ha. Each year, the selection of the right soybean varieties for their fields is one of the most challenging management decisions that farmers must undertake. Soybean breeding companies continuously offer varieties from their breeding programs that can meet the various needs of farmers, industry and consumers. The growing demand for soybean varieties suitable for organic farming is fostering breeding activities to better fulfil the specific requirements of the organic value chain participants. Within the ECOBREED project, characterisation of a soybean working collection 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 components, crop growth related traits, grain quality traits.
PB  - Tulln an der Donau : Universität für Bodenkultur Wien, Department für Nutzpflanzenwissenschaften, Institut für Pflanzenzüchtung
C3  - Proceedings, 72nd Conference "Plant Breeding for the Green Deal" / Tagungsband der 72. Jahrestagung der Vereinigung  der Pflanzenzüchter und Saatgutkaufleute Österreichs,  22-24 November 2021, Online Conference, Raumberg-Gumpenstein
T1  - Identification of useful traits for organic soybean breeding in limiting and changing agro-climatic conditions
EP  - 82
SP  - 81
DO  - 10.5281/zenodo.5667799
ER  - 

@conference{
author = "Đorđević, Vuk and Vasiljević, Marjana and Ranđelović, Predrag and Miladinović, Jegor and Ćeran, Marina and Bernhart, Maria and Toncea, Ion",
year = "2022",
abstract = "Organic farming is practiced on over 72 million hectares of agricultural land worldwide. Soybean (Glycine max) is cultivated organically on 644 323 ha. Each year, the selection of the right soybean varieties for their fields is one of the most challenging management decisions that farmers must undertake. Soybean breeding companies continuously offer varieties from their breeding programs that can meet the various needs of farmers, industry and consumers. The growing demand for soybean varieties suitable for organic farming is fostering breeding activities to better fulfil the specific requirements of the organic value chain participants. Within the ECOBREED project, characterisation of a soybean working collection 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 components, crop growth related traits, grain quality traits.",
publisher = "Tulln an der Donau : Universität für Bodenkultur Wien, Department für Nutzpflanzenwissenschaften, Institut für Pflanzenzüchtung",
journal = "Proceedings, 72nd Conference "Plant Breeding for the Green Deal" / Tagungsband der 72. Jahrestagung der Vereinigung  der Pflanzenzüchter und Saatgutkaufleute Österreichs,  22-24 November 2021, Online Conference, Raumberg-Gumpenstein",
title = "Identification of useful traits for organic soybean breeding in limiting and changing agro-climatic conditions",
pages = "82-81",
doi = "10.5281/zenodo.5667799"
}

Đorđević, V., Vasiljević, M., Ranđelović, P., Miladinović, J., Ćeran, M., Bernhart, M.,& Toncea, I.. (2022). Identification of useful traits for organic soybean breeding in limiting and changing agro-climatic conditions. in Proceedings, 72nd Conference "Plant Breeding for the Green Deal" / Tagungsband der 72. Jahrestagung der Vereinigung  der Pflanzenzüchter und Saatgutkaufleute Österreichs,  22-24 November 2021, Online Conference, Raumberg-Gumpenstein
Tulln an der Donau : Universität für Bodenkultur Wien, Department für Nutzpflanzenwissenschaften, Institut für Pflanzenzüchtung., 81-82.
https://doi.org/10.5281/zenodo.5667799

Đorđević V, Vasiljević M, Ranđelović P, Miladinović J, Ćeran M, Bernhart M, Toncea I. Identification of useful traits for organic soybean breeding in limiting and changing agro-climatic conditions. in Proceedings, 72nd Conference "Plant Breeding for the Green Deal" / Tagungsband der 72. Jahrestagung der Vereinigung  der Pflanzenzüchter und Saatgutkaufleute Österreichs,  22-24 November 2021, Online Conference, Raumberg-Gumpenstein. 2022;:81-82.
doi:10.5281/zenodo.5667799 .

Đorđević, Vuk, Vasiljević, Marjana, Ranđelović, Predrag, Miladinović, Jegor, Ćeran, Marina, Bernhart, Maria, Toncea, Ion, "Identification of useful traits for organic soybean breeding in limiting and changing agro-climatic conditions" in Proceedings, 72nd Conference "Plant Breeding for the Green Deal" / Tagungsband der 72. Jahrestagung der Vereinigung  der Pflanzenzüchter und Saatgutkaufleute Österreichs,  22-24 November 2021, Online Conference, Raumberg-Gumpenstein (2022):81-82,
https://doi.org/10.5281/zenodo.5667799 . .

TY  - CONF
AU  - Vasiljević, Marjana
AU  - Đorđević, Vuk
AU  - Ranđelović, Predrag
AU  - Miladinović, Jegor
AU  - Milovac, Željko
AU  - Ćeran, Marina
AU  - Marić, Darko
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/2660
AB  - Due to the rising demand for organic food products and increased availability of organic products, global production of organically grown crops has increased. In 2020, organic agriculture was practised in 187 countries worldwide, on 72.3 million ha of agricultural land by at least 3.1 million farmers. The area of organically managed soybean worldwide was 644 323 ha. Soybean production is of great importance since the soybean grain is used in various industries, including human as well as animal nutrition and pharmaceutical production. Soybean has a special place in organic cultivation because it brings different agronomic benefits to farmers and it is considered a niche product for feed and food use. Furthermore, soybean is primarily a climate-smart crop that conserves soil fertility for increased productivity of other important field crops, and its place in organic production is very valuable. The importance of soybean comes from the exceptionally favorable grain chemical composition (≈40% protein, ≈20% lipids). Soybeans are relatively easy to produce under organic conditions due to available production technology. One of the most important tasks for farmer is to select soybean varieties for specific production conditions.
T1  - ECOBREED participatory trials for organic soybean production in Serbia
UR  - https://hdl.handle.net/21.15107/rcub_fiver_2660
ER  - 

@conference{
author = "Vasiljević, Marjana and Đorđević, Vuk and Ranđelović, Predrag and Miladinović, Jegor and Milovac, Željko and Ćeran, Marina and Marić, Darko",
year = "2022",
abstract = "Due to the rising demand for organic food products and increased availability of organic products, global production of organically grown crops has increased. In 2020, organic agriculture was practised in 187 countries worldwide, on 72.3 million ha of agricultural land by at least 3.1 million farmers. The area of organically managed soybean worldwide was 644 323 ha. Soybean production is of great importance since the soybean grain is used in various industries, including human as well as animal nutrition and pharmaceutical production. Soybean has a special place in organic cultivation because it brings different agronomic benefits to farmers and it is considered a niche product for feed and food use. Furthermore, soybean is primarily a climate-smart crop that conserves soil fertility for increased productivity of other important field crops, and its place in organic production is very valuable. The importance of soybean comes from the exceptionally favorable grain chemical composition (≈40% protein, ≈20% lipids). Soybeans are relatively easy to produce under organic conditions due to available production technology. One of the most important tasks for farmer is to select soybean varieties for specific production conditions.",
title = "ECOBREED participatory trials for organic soybean production in Serbia",
url = "https://hdl.handle.net/21.15107/rcub_fiver_2660"
}

Vasiljević, M., Đorđević, V., Ranđelović, P., Miladinović, J., Milovac, Ž., Ćeran, M.,& Marić, D.. (2022). ECOBREED participatory trials for organic soybean production in Serbia. .
https://hdl.handle.net/21.15107/rcub_fiver_2660

Vasiljević M, Đorđević V, Ranđelović P, Miladinović J, Milovac Ž, Ćeran M, Marić D. ECOBREED participatory trials for organic soybean production in Serbia. 2022;.
https://hdl.handle.net/21.15107/rcub_fiver_2660 .

Vasiljević, Marjana, Đorđević, Vuk, Ranđelović, Predrag, Miladinović, Jegor, Milovac, Željko, Ćeran, Marina, Marić, Darko, "ECOBREED participatory trials for organic soybean production in Serbia" (2022),
https://hdl.handle.net/21.15107/rcub_fiver_2660 .

TY  - CONF
AU  - Vasiljević, Marjana
AU  - Šeremešić, Srđan
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Ranđelović, Predrag
AU  - Vojnov, Bojan
AU  - Aćin, Vladimir
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/2926
AB  - Povoljna fizička svojstva zemljišta i aeracija u zoni korenovog sistema obezbeđuju uravnotežen rast i razvoj gajene biljne vrste. Visoka mehanička otpornost zemljišta je jedna od fizičkih osobina koja dolazi do izražaja u sušnim uslovima, jer smanjenjem sadržaja vlage izrazito se povećava specifični otpor zemljišta. Ovo može da ima direktan uticaj na ograničen razvoj korenovog sistema i dalji rast biljaka, uz smanjeno usvajanje hraniva iz zemljišta, što ima za posledicu i smanjenje produktivnosti odnosno prinosa biljne vrste od interesa. Cilj ovog istraživanja je bio da se analizira kako različiti pokrovni usevi utiču na promenu specifičnog otpora zemljišta u low input proizvodnji soje. Ustanovljeno je da tretman sa ozimim graškom i ovsom (P+O) ima najmanji uticaj na sabijenost zemljišta na obe sorte soje (indeks otpora 2,7), dok je kontrolna parcela (C) imala najveći indeks otpora (2,9), a sadržaj vlage 19,5%.
AB  - Favourable soil physical properties and rooting zone aeration can secure balanced crop development. High soil mechanical impedance is one of the physical properties that is particularly critical in dry conditions since decreasing water content dramatically increases specific soil penetration resistance. This can have a direct impact on restricted root development and further plant growth with reduced absorption of nutrients, which results in lower productivity (yield) of cultivated plant species. The aim of this study was to analyse how different cover crops affected the change of specific soil penetration resistance in low-input soybean production. In terms of cover crops, the treatment winter peas and oat (P+O) was shown to have the lowest influence on soil compaction on both soybean (2,7 cone resistance index) in contrast to the control plot (C) that had the highest cone resistance index (2,9), and moisture content 19,5%.
PB  - Novi Sad : Univerzitet u Novom Sadu, Poljoprivredni fakultet
C3  - Knjiga sažetaka, Simpozijum "Zemljište u doba precizne poljoprivrede i informacionih tehnologija" SoilAgroIT 2022, 16-17. jun 2022, Novi Sad
T1  - Specifični otpor zemljišta u low input proizvodnji soje nakon uvođenja pokrovnih useva
T1  - Soil penetration resistance in soybean low input production after the cover crops introduction
EP  - 77
SP  - 76
UR  - https://hdl.handle.net/21.15107/rcub_fiver_2926
ER  - 

@conference{
author = "Vasiljević, Marjana and Šeremešić, Srđan and Đorđević, Vuk and Miladinović, Jegor and Ranđelović, Predrag and Vojnov, Bojan and Aćin, Vladimir",
year = "2022",
abstract = "Povoljna fizička svojstva zemljišta i aeracija u zoni korenovog sistema obezbeđuju uravnotežen rast i razvoj gajene biljne vrste. Visoka mehanička otpornost zemljišta je jedna od fizičkih osobina koja dolazi do izražaja u sušnim uslovima, jer smanjenjem sadržaja vlage izrazito se povećava specifični otpor zemljišta. Ovo može da ima direktan uticaj na ograničen razvoj korenovog sistema i dalji rast biljaka, uz smanjeno usvajanje hraniva iz zemljišta, što ima za posledicu i smanjenje produktivnosti odnosno prinosa biljne vrste od interesa. Cilj ovog istraživanja je bio da se analizira kako različiti pokrovni usevi utiču na promenu specifičnog otpora zemljišta u low input proizvodnji soje. Ustanovljeno je da tretman sa ozimim graškom i ovsom (P+O) ima najmanji uticaj na sabijenost zemljišta na obe sorte soje (indeks otpora 2,7), dok je kontrolna parcela (C) imala najveći indeks otpora (2,9), a sadržaj vlage 19,5%., Favourable soil physical properties and rooting zone aeration can secure balanced crop development. High soil mechanical impedance is one of the physical properties that is particularly critical in dry conditions since decreasing water content dramatically increases specific soil penetration resistance. This can have a direct impact on restricted root development and further plant growth with reduced absorption of nutrients, which results in lower productivity (yield) of cultivated plant species. The aim of this study was to analyse how different cover crops affected the change of specific soil penetration resistance in low-input soybean production. In terms of cover crops, the treatment winter peas and oat (P+O) was shown to have the lowest influence on soil compaction on both soybean (2,7 cone resistance index) in contrast to the control plot (C) that had the highest cone resistance index (2,9), and moisture content 19,5%.",
publisher = "Novi Sad : Univerzitet u Novom Sadu, Poljoprivredni fakultet",
journal = "Knjiga sažetaka, Simpozijum "Zemljište u doba precizne poljoprivrede i informacionih tehnologija" SoilAgroIT 2022, 16-17. jun 2022, Novi Sad",
title = "Specifični otpor zemljišta u low input proizvodnji soje nakon uvođenja pokrovnih useva, Soil penetration resistance in soybean low input production after the cover crops introduction",
pages = "77-76",
url = "https://hdl.handle.net/21.15107/rcub_fiver_2926"
}

Vasiljević, M., Šeremešić, S., Đorđević, V., Miladinović, J., Ranđelović, P., Vojnov, B.,& Aćin, V.. (2022). Specifični otpor zemljišta u low input proizvodnji soje nakon uvođenja pokrovnih useva. in Knjiga sažetaka, Simpozijum "Zemljište u doba precizne poljoprivrede i informacionih tehnologija" SoilAgroIT 2022, 16-17. jun 2022, Novi Sad
Novi Sad : Univerzitet u Novom Sadu, Poljoprivredni fakultet., 76-77.
https://hdl.handle.net/21.15107/rcub_fiver_2926

Vasiljević M, Šeremešić S, Đorđević V, Miladinović J, Ranđelović P, Vojnov B, Aćin V. Specifični otpor zemljišta u low input proizvodnji soje nakon uvođenja pokrovnih useva. in Knjiga sažetaka, Simpozijum "Zemljište u doba precizne poljoprivrede i informacionih tehnologija" SoilAgroIT 2022, 16-17. jun 2022, Novi Sad. 2022;:76-77.
https://hdl.handle.net/21.15107/rcub_fiver_2926 .

Vasiljević, Marjana, Šeremešić, Srđan, Đorđević, Vuk, Miladinović, Jegor, Ranđelović, Predrag, Vojnov, Bojan, Aćin, Vladimir, "Specifični otpor zemljišta u low input proizvodnji soje nakon uvođenja pokrovnih useva" in Knjiga sažetaka, Simpozijum "Zemljište u doba precizne poljoprivrede i informacionih tehnologija" SoilAgroIT 2022, 16-17. jun 2022, Novi Sad (2022):76-77,
https://hdl.handle.net/21.15107/rcub_fiver_2926 .

TY  - CONF
AU  - Ranđelović, Predrag
AU  - Vasiljević, Marjana
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Milić, Stanko
AU  - Jaćimović, Simona
AU  - Đukić, Vojin
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/2927
AB  - Zemljište na kojem se usev gaji od velikog je značaja za uspešnu poljoprivrednu proizvodnju. Nepovoljni zemljišni uslovi u pogledu plodnosti, mehaničkog sastava kao i drugih osobina poput sposobnosti retencije vode mogu negativno da utiču na stanje gajenih biljaka i da tokom sezone koju karakterišu sve izraženiji klimatski ekstremi dovedu do gubitka u prinosu. Kao jedan od načina za praćenje stanja biljaka tokom vegetacionog perioda može da posluži NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI). U prethodnim istraživanjima ovaj vegetacioni indeks korišćen je za prikupljanje važnih informacija poput ocene biomase, sadržaja hlorofila, indeksa lisne površine (LAI) ali i prisustva stresa u biljkama u slučaju nepovoljnih uslova. Cilj ovog rada je bio da se ispita uticaj različitih tipova zemljišta na vrednost NDVI indeksa u fazi cvetanja divergentnih genotipova soje. Genotipovi koji su gajeni na peskovitom zemljištu, na zemljištu lošijeg kvaliteta u fazi cvetanja imali su u proseku nižu vrednost NDVI indeksa za preko 8 % u odnosu na isti set genotipova koji je gajen na glinovitom zemljištu sa boljim vodno-vazdušnim osobinama i većom plodnosti.
AB  - The soil on which the crop is grown is of great importance for successful agricultural production. Unfavorable conditions in terms of fertility, mechanical composition, and other soil properties such as the ability to retain water can negatively affect the cultivated plants during the season with climatic extremes which can lead to yield loss. The NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI) can be used to monitor plant condition during the vegetation period. In previous research, this index was used to assess important information such as biomass, chlorophyll content, LEAF AREA INDEX (LAI), and also the presence of stress in plants in case of unfavorable conditions. This study aimed to examine the influence of different soil types on the NDVI value in the flowering phase of diverse soybean germplasm. Genotypes grown on low-quality sandy soil in the flowering phase had on average a lower value of NDVI index by over 8% compared to the same set of genotypes grown on clay soil with better water-air properties and higher fertility.
PB  - Novi Sad : Univerzitet u Novom Sadu, Poljoprivredni fakultet
C3  - Knjiga sažetaka, Simpozijum "Zemljište u doba precizne poljoprivrede i informacionih tehnologija" SoilAgroIT 2022, 16-17. jun 2022, Novi Sad
T1  - Normalized difference vegetation index (NDVI) u cvetanju soje gajene u različitim zemljišnim uslovima
T1  - Normalized difference vegetation index (NDVI) in the flowering phase of soybean grown in different soil conditions
EP  - 23
SP  - 22
UR  - https://hdl.handle.net/21.15107/rcub_fiver_2927
ER  - 

@conference{
author = "Ranđelović, Predrag and Vasiljević, Marjana and Đorđević, Vuk and Miladinović, Jegor and Milić, Stanko and Jaćimović, Simona and Đukić, Vojin",
year = "2022",
abstract = "Zemljište na kojem se usev gaji od velikog je značaja za uspešnu poljoprivrednu proizvodnju. Nepovoljni zemljišni uslovi u pogledu plodnosti, mehaničkog sastava kao i drugih osobina poput sposobnosti retencije vode mogu negativno da utiču na stanje gajenih biljaka i da tokom sezone koju karakterišu sve izraženiji klimatski ekstremi dovedu do gubitka u prinosu. Kao jedan od načina za praćenje stanja biljaka tokom vegetacionog perioda može da posluži NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI). U prethodnim istraživanjima ovaj vegetacioni indeks korišćen je za prikupljanje važnih informacija poput ocene biomase, sadržaja hlorofila, indeksa lisne površine (LAI) ali i prisustva stresa u biljkama u slučaju nepovoljnih uslova. Cilj ovog rada je bio da se ispita uticaj različitih tipova zemljišta na vrednost NDVI indeksa u fazi cvetanja divergentnih genotipova soje. Genotipovi koji su gajeni na peskovitom zemljištu, na zemljištu lošijeg kvaliteta u fazi cvetanja imali su u proseku nižu vrednost NDVI indeksa za preko 8 % u odnosu na isti set genotipova koji je gajen na glinovitom zemljištu sa boljim vodno-vazdušnim osobinama i većom plodnosti., The soil on which the crop is grown is of great importance for successful agricultural production. Unfavorable conditions in terms of fertility, mechanical composition, and other soil properties such as the ability to retain water can negatively affect the cultivated plants during the season with climatic extremes which can lead to yield loss. The NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI) can be used to monitor plant condition during the vegetation period. In previous research, this index was used to assess important information such as biomass, chlorophyll content, LEAF AREA INDEX (LAI), and also the presence of stress in plants in case of unfavorable conditions. This study aimed to examine the influence of different soil types on the NDVI value in the flowering phase of diverse soybean germplasm. Genotypes grown on low-quality sandy soil in the flowering phase had on average a lower value of NDVI index by over 8% compared to the same set of genotypes grown on clay soil with better water-air properties and higher fertility.",
publisher = "Novi Sad : Univerzitet u Novom Sadu, Poljoprivredni fakultet",
journal = "Knjiga sažetaka, Simpozijum "Zemljište u doba precizne poljoprivrede i informacionih tehnologija" SoilAgroIT 2022, 16-17. jun 2022, Novi Sad",
title = "Normalized difference vegetation index (NDVI) u cvetanju soje gajene u različitim zemljišnim uslovima, Normalized difference vegetation index (NDVI) in the flowering phase of soybean grown in different soil conditions",
pages = "23-22",
url = "https://hdl.handle.net/21.15107/rcub_fiver_2927"
}

Ranđelović, P., Vasiljević, M., Đorđević, V., Miladinović, J., Milić, S., Jaćimović, S.,& Đukić, V.. (2022). Normalized difference vegetation index (NDVI) u cvetanju soje gajene u različitim zemljišnim uslovima. in Knjiga sažetaka, Simpozijum "Zemljište u doba precizne poljoprivrede i informacionih tehnologija" SoilAgroIT 2022, 16-17. jun 2022, Novi Sad
Novi Sad : Univerzitet u Novom Sadu, Poljoprivredni fakultet., 22-23.
https://hdl.handle.net/21.15107/rcub_fiver_2927

Ranđelović P, Vasiljević M, Đorđević V, Miladinović J, Milić S, Jaćimović S, Đukić V. Normalized difference vegetation index (NDVI) u cvetanju soje gajene u različitim zemljišnim uslovima. in Knjiga sažetaka, Simpozijum "Zemljište u doba precizne poljoprivrede i informacionih tehnologija" SoilAgroIT 2022, 16-17. jun 2022, Novi Sad. 2022;:22-23.
https://hdl.handle.net/21.15107/rcub_fiver_2927 .

Ranđelović, Predrag, Vasiljević, Marjana, Đorđević, Vuk, Miladinović, Jegor, Milić, Stanko, Jaćimović, Simona, Đukić, Vojin, "Normalized difference vegetation index (NDVI) u cvetanju soje gajene u različitim zemljišnim uslovima" in Knjiga sažetaka, Simpozijum "Zemljište u doba precizne poljoprivrede i informacionih tehnologija" SoilAgroIT 2022, 16-17. jun 2022, Novi Sad (2022):22-23,
https://hdl.handle.net/21.15107/rcub_fiver_2927 .

TY  - CONF
AU  - Ranđelović, Predrag
AU  - Vasiljević, Marjana
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Milić, Stanko
AU  - Jaćimović, Simona
AU  - Đukić, Vojin
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/2928
AB  - The soil on which the crop is grown is of great importance for successful agricultural production. Unfavorable conditions in terms of fertility, mechanical composition, and other soil properties such as the ability to retain water can negatively affect the cultivated plants during the season with climatic extremes which can lead to yield loss. The NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI) can be used to monitor plant condition during the vegetation period. In previous research, this index was used to assess important information such as biomass, chlorophyll content, LEAF AREA INDEX (LAI), and also the presence of stress in plants in case of unfavorable conditions. This study aimed to examine the influence of different soil types on the NDVI value in the flowering phase of diverse soybean germplasm. Genotypes grown on low-quality sandy soil in the flowering phase had on average a lower value of NDVI index by over 8% compared to the same set of genotypes grown on clay soil with better water-air properties and higher fertility.
T1  - Normalized difference vegetation index (NDVI) in the flowering phase of soybean grown in different soil conditions
UR  - https://hdl.handle.net/21.15107/rcub_fiver_2928
ER  - 

@conference{
author = "Ranđelović, Predrag and Vasiljević, Marjana and Đorđević, Vuk and Miladinović, Jegor and Milić, Stanko and Jaćimović, Simona and Đukić, Vojin",
year = "2022",
abstract = "The soil on which the crop is grown is of great importance for successful agricultural production. Unfavorable conditions in terms of fertility, mechanical composition, and other soil properties such as the ability to retain water can negatively affect the cultivated plants during the season with climatic extremes which can lead to yield loss. The NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI) can be used to monitor plant condition during the vegetation period. In previous research, this index was used to assess important information such as biomass, chlorophyll content, LEAF AREA INDEX (LAI), and also the presence of stress in plants in case of unfavorable conditions. This study aimed to examine the influence of different soil types on the NDVI value in the flowering phase of diverse soybean germplasm. Genotypes grown on low-quality sandy soil in the flowering phase had on average a lower value of NDVI index by over 8% compared to the same set of genotypes grown on clay soil with better water-air properties and higher fertility.",
title = "Normalized difference vegetation index (NDVI) in the flowering phase of soybean grown in different soil conditions",
url = "https://hdl.handle.net/21.15107/rcub_fiver_2928"
}

Ranđelović, P., Vasiljević, M., Đorđević, V., Miladinović, J., Milić, S., Jaćimović, S.,& Đukić, V.. (2022). Normalized difference vegetation index (NDVI) in the flowering phase of soybean grown in different soil conditions. .
https://hdl.handle.net/21.15107/rcub_fiver_2928

Ranđelović P, Vasiljević M, Đorđević V, Miladinović J, Milić S, Jaćimović S, Đukić V. Normalized difference vegetation index (NDVI) in the flowering phase of soybean grown in different soil conditions. 2022;.
https://hdl.handle.net/21.15107/rcub_fiver_2928 .

Ranđelović, Predrag, Vasiljević, Marjana, Đorđević, Vuk, Miladinović, Jegor, Milić, Stanko, Jaćimović, Simona, Đukić, Vojin, "Normalized difference vegetation index (NDVI) in the flowering phase of soybean grown in different soil conditions" (2022),
https://hdl.handle.net/21.15107/rcub_fiver_2928 .

TY  - JOUR
AU  - Miljaković, Dragana
AU  - Marinković, Jelena
AU  - Tamindžić, Gordana
AU  - Đorđević, Vuk
AU  - Tintor, Branislava
AU  - Milošević, Dragana
AU  - Ignjatov, Maja
AU  - Nikolić, Zorica
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/2969
AB  - Bio-priming is a new technique of seed treatment that improves seed germination, vigor, crop growth and yield. The objective of this study was to evaluate the effectiveness of Bradyrhizobium japonicum (commercial strains) and Bacillus megaterium (newly isolated strains) as a single inoculant and co-inoculant during seed bio-priming to improve seed germination and initial seedling growth of two soybean cultivars. The treated seeds were subjected to germination test (GT), cold test (CT) and accelerated aging test (AAT). B. megaterium significantly improved all parameters in GT and CT; final germination, shoot length, root length, root dry weight, and seedling vigor index in AAT, as compared to control. In addition, co-inoculation significantly increased all parameters except shoot dry weight in GT; all parameters in CT; germination energy, shoot length, root length, and seedling vigor index in AAT, in comparison to the control. Moreover, Br. japonicum significantly improved the germination energy, shoot length, shoot dry weight, root dry weight, and seedling vigor index in GT; all parameters in CT; shoot length, root length, and seedling vigor index in AAT, compared with non-primed seeds. Thus, B. megaterium strains could be used in soybean bio-priming as a potential single inoculant and co-inoculant, following proper field evaluation.
PB  - Basel : MDPI
T2  - Plants - Basel
T1  - Bio-priming of soybean with Bradyrhizobium japonicum and Bacillus megaterium: strategy to improve seed germination and the initial seedling growth
IS  - 15
SP  - 1927
VL  - 11
DO  - 10.3390/plants11151927
ER  - 

@article{
author = "Miljaković, Dragana and Marinković, Jelena and Tamindžić, Gordana and Đorđević, Vuk and Tintor, Branislava and Milošević, Dragana and Ignjatov, Maja and Nikolić, Zorica",
year = "2022",
abstract = "Bio-priming is a new technique of seed treatment that improves seed germination, vigor, crop growth and yield. The objective of this study was to evaluate the effectiveness of Bradyrhizobium japonicum (commercial strains) and Bacillus megaterium (newly isolated strains) as a single inoculant and co-inoculant during seed bio-priming to improve seed germination and initial seedling growth of two soybean cultivars. The treated seeds were subjected to germination test (GT), cold test (CT) and accelerated aging test (AAT). B. megaterium significantly improved all parameters in GT and CT; final germination, shoot length, root length, root dry weight, and seedling vigor index in AAT, as compared to control. In addition, co-inoculation significantly increased all parameters except shoot dry weight in GT; all parameters in CT; germination energy, shoot length, root length, and seedling vigor index in AAT, in comparison to the control. Moreover, Br. japonicum significantly improved the germination energy, shoot length, shoot dry weight, root dry weight, and seedling vigor index in GT; all parameters in CT; shoot length, root length, and seedling vigor index in AAT, compared with non-primed seeds. Thus, B. megaterium strains could be used in soybean bio-priming as a potential single inoculant and co-inoculant, following proper field evaluation.",
publisher = "Basel : MDPI",
journal = "Plants - Basel",
title = "Bio-priming of soybean with Bradyrhizobium japonicum and Bacillus megaterium: strategy to improve seed germination and the initial seedling growth",
number = "15",
pages = "1927",
volume = "11",
doi = "10.3390/plants11151927"
}

Miljaković, D., Marinković, J., Tamindžić, G., Đorđević, V., Tintor, B., Milošević, D., Ignjatov, M.,& Nikolić, Z.. (2022). Bio-priming of soybean with Bradyrhizobium japonicum and Bacillus megaterium: strategy to improve seed germination and the initial seedling growth. in Plants - Basel
Basel : MDPI., 11(15), 1927.
https://doi.org/10.3390/plants11151927

Miljaković D, Marinković J, Tamindžić G, Đorđević V, Tintor B, Milošević D, Ignjatov M, Nikolić Z. Bio-priming of soybean with Bradyrhizobium japonicum and Bacillus megaterium: strategy to improve seed germination and the initial seedling growth. in Plants - Basel. 2022;11(15):1927.
doi:10.3390/plants11151927 .

Miljaković, Dragana, Marinković, Jelena, Tamindžić, Gordana, Đorđević, Vuk, Tintor, Branislava, Milošević, Dragana, Ignjatov, Maja, Nikolić, Zorica, "Bio-priming of soybean with Bradyrhizobium japonicum and Bacillus megaterium: strategy to improve seed germination and the initial seedling growth" in Plants - Basel, 11, no. 15 (2022):1927,
https://doi.org/10.3390/plants11151927 . .

TY  - JOUR
AU  - Vollmann, Johann
AU  - Rischbeck, Pablo
AU  - Pachner, Martin
AU  - Đorđević, Vuk
AU  - Manschadi, Ahmad
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/2963
AB  - Symbiotic di-nitrogen fixation of grain legumes has a substantial impact on crop performance, harvest product quality, and nitrogen (N) balance of crop rotations, particularly under organic management regimes. In soybean breeding, selection for increased nitrogen fixation is desirable for improving seed protein content and N balance of cropping systems. However, the lack of high-throughput screening methods for direct measurement of N2 fixation rates prohibits practical breeding efforts. Therefore, hyperspectral canopy reflectance measurement as a field-based phenotyping method was evaluated in three environments for indirect estimation of N fixation and uptake of soil nitrogen in a set of early maturity soybean genotypes exhibiting a wide range in seed protein content. Reflectance spectra were collected in repeated measurements during flowering and early seed filling stages. Subsequently, various spectral reflectance indices (SRIs) were calculated for characterizing nitrogen accumulation of individual genotypes. Moreover, prediction models for seed protein content as an end-of-season target trait were developed utilizing full spectral information in partial-least-square regression (PLSR) models. A number of N-related SRIs calculated from spectral reflectance data recorded at the beginning of the seed filling stage were significantly correlated to seed protein content. The best prediction of seed protein content, however, was achieved in PLSR models (validation R2 = 0.805 across all three environments). Environments lower in initial soil mineral N content appeared as more favorable selection sites in terms of prediction accuracy, because N fixation is not masked by soil N uptake in such environments. Hyperspectral reflectance data proved to be a valuable method for determining genetic variation in crop N accumulation, which might be implemented in highthroughput screening protocols for N fixation in plant breeding programs.
PB  - Elsevier
T2  - Computers and Electronics in Agriculture
T1  - High-throughput screening of soybean di-nitrogen fixation and seed nitrogen content using spectral sensing
SP  - 107169
VL  - 199
DO  - 10.1016/j.compag.2022.107169
ER  - 

@article{
author = "Vollmann, Johann and Rischbeck, Pablo and Pachner, Martin and Đorđević, Vuk and Manschadi, Ahmad",
year = "2022",
abstract = "Symbiotic di-nitrogen fixation of grain legumes has a substantial impact on crop performance, harvest product quality, and nitrogen (N) balance of crop rotations, particularly under organic management regimes. In soybean breeding, selection for increased nitrogen fixation is desirable for improving seed protein content and N balance of cropping systems. However, the lack of high-throughput screening methods for direct measurement of N2 fixation rates prohibits practical breeding efforts. Therefore, hyperspectral canopy reflectance measurement as a field-based phenotyping method was evaluated in three environments for indirect estimation of N fixation and uptake of soil nitrogen in a set of early maturity soybean genotypes exhibiting a wide range in seed protein content. Reflectance spectra were collected in repeated measurements during flowering and early seed filling stages. Subsequently, various spectral reflectance indices (SRIs) were calculated for characterizing nitrogen accumulation of individual genotypes. Moreover, prediction models for seed protein content as an end-of-season target trait were developed utilizing full spectral information in partial-least-square regression (PLSR) models. A number of N-related SRIs calculated from spectral reflectance data recorded at the beginning of the seed filling stage were significantly correlated to seed protein content. The best prediction of seed protein content, however, was achieved in PLSR models (validation R2 = 0.805 across all three environments). Environments lower in initial soil mineral N content appeared as more favorable selection sites in terms of prediction accuracy, because N fixation is not masked by soil N uptake in such environments. Hyperspectral reflectance data proved to be a valuable method for determining genetic variation in crop N accumulation, which might be implemented in highthroughput screening protocols for N fixation in plant breeding programs.",
publisher = "Elsevier",
journal = "Computers and Electronics in Agriculture",
title = "High-throughput screening of soybean di-nitrogen fixation and seed nitrogen content using spectral sensing",
pages = "107169",
volume = "199",
doi = "10.1016/j.compag.2022.107169"
}

Vollmann, J., Rischbeck, P., Pachner, M., Đorđević, V.,& Manschadi, A.. (2022). High-throughput screening of soybean di-nitrogen fixation and seed nitrogen content using spectral sensing. in Computers and Electronics in Agriculture
Elsevier., 199, 107169.
https://doi.org/10.1016/j.compag.2022.107169

Vollmann J, Rischbeck P, Pachner M, Đorđević V, Manschadi A. High-throughput screening of soybean di-nitrogen fixation and seed nitrogen content using spectral sensing. in Computers and Electronics in Agriculture. 2022;199:107169.
doi:10.1016/j.compag.2022.107169 .

Vollmann, Johann, Rischbeck, Pablo, Pachner, Martin, Đorđević, Vuk, Manschadi, Ahmad, "High-throughput screening of soybean di-nitrogen fixation and seed nitrogen content using spectral sensing" in Computers and Electronics in Agriculture, 199 (2022):107169,
https://doi.org/10.1016/j.compag.2022.107169 . .

TY  - JOUR
AU  - Miladinović, Jegor
AU  - Mihailović, Vojislav
AU  - Đorđević, Vuk
AU  - Vasiljević, Sanja
AU  - Katanski, Snežana
AU  - Živanov, Dalibor
AU  - Ranđelović, Predrag
PY  - 2021
UR  - http://fiver.ifvcns.rs/handle/123456789/2515
AB  - This paper presents the plant genetic resources maintained by the Center of Excellence for Legumes of the Institute of Field and Vegetable Crops, National Institute of the Republic of Serbia. The genetic resources of legumes (soybean, alfalfa, red clover, pea and vetch) are an invaluable source material and a rich source of genetic divergence for the development of varieties adapted to specific agricultural and environmental conditions. Soybean is the most important of all cultivated legumes and occupies the largest area under cultivation. The alfalfa collection consists of over 800 genotypes with different agronomic traits and dormancy values. The novel alfalfa breeding concept - breeding for yield per se, based on natural heterosis in the development of half hybrids - was introduced in the late 20th and early 21st centuries. The Center of Excellence for Legumes has 757 soybean genotypes, 655 red clover genotypes, about 730 pea genotypes and 495 vetch genotypes. The development of the winter pea variety for grain (NS Mraz), the first of its kind in South-Eastern Europe, was significant for science.
AB  - Cilj rada je bio da se prikažu biljni genetski resursi (BGR) kojima raspolaže Centar izuzetnih vrednosti za leguminoze Instituta za ratarstvo i povrtarstvo, Instituta od nacionalnog značaja za Republiku Srbiju. Genetski resursi leguminoza (soja, lucerka, crvena detelina, grašak i grahorice) predstavljaju dragocen polazni materijal i izvor raznovrsne genetske divergentnosti za stvaranje novih sorti prilagođenih određenim agroekološkim uslovima. Među leguminozama, soja zauzima najveće površine i spada u red najznačajnijih gajenih biljaka u svetu. Do sada postignuti i valorizovani rezultati istraživanja u zemlji i svetu potvrđuju lidersku poziciju u regionu i šire, a novosadsku genetiku soje čine prepoznatljivom. Kolekcija lucerke poseduje oko 800 genotipova različitih varijateta i nivoa dormantnosti. Kraj XX i početak XXI veka, karakteriše primena novog koncepta oplemenjivanja lucerke na prinos per se, koji treba da iskoristi prirodni heterozis u cilju stvaranja semihibrida. Centar izuzetnih vrednosti za leguminoze raspolaže sa 655 genotipova crvene deteline, oko 730 genotipova graška i 495 genotipova grahorica. Značajan doprinos nauci je stvaranje prve sorte ozimog graška za zrno u Jugoistočnoj Evropi (NS Mraz).
PB  - Novi Sad: Institut za ratarstvo i povrtarstvo
T2  - Ratarstvo i povrtarstvo / Field and Vegetable Crops Research
T1  - The importance of legume genetic resources for breeding
T1  - Značaj genetskih resursa leguminoza za oplemenjivanje
EP  - 103
IS  - 3
SP  - 94
VL  - 58
DO  - 10.5937/ratpov58-34802
ER  - 

@article{
author = "Miladinović, Jegor and Mihailović, Vojislav and Đorđević, Vuk and Vasiljević, Sanja and Katanski, Snežana and Živanov, Dalibor and Ranđelović, Predrag",
year = "2021",
abstract = "This paper presents the plant genetic resources maintained by the Center of Excellence for Legumes of the Institute of Field and Vegetable Crops, National Institute of the Republic of Serbia. The genetic resources of legumes (soybean, alfalfa, red clover, pea and vetch) are an invaluable source material and a rich source of genetic divergence for the development of varieties adapted to specific agricultural and environmental conditions. Soybean is the most important of all cultivated legumes and occupies the largest area under cultivation. The alfalfa collection consists of over 800 genotypes with different agronomic traits and dormancy values. The novel alfalfa breeding concept - breeding for yield per se, based on natural heterosis in the development of half hybrids - was introduced in the late 20th and early 21st centuries. The Center of Excellence for Legumes has 757 soybean genotypes, 655 red clover genotypes, about 730 pea genotypes and 495 vetch genotypes. The development of the winter pea variety for grain (NS Mraz), the first of its kind in South-Eastern Europe, was significant for science., Cilj rada je bio da se prikažu biljni genetski resursi (BGR) kojima raspolaže Centar izuzetnih vrednosti za leguminoze Instituta za ratarstvo i povrtarstvo, Instituta od nacionalnog značaja za Republiku Srbiju. Genetski resursi leguminoza (soja, lucerka, crvena detelina, grašak i grahorice) predstavljaju dragocen polazni materijal i izvor raznovrsne genetske divergentnosti za stvaranje novih sorti prilagođenih određenim agroekološkim uslovima. Među leguminozama, soja zauzima najveće površine i spada u red najznačajnijih gajenih biljaka u svetu. Do sada postignuti i valorizovani rezultati istraživanja u zemlji i svetu potvrđuju lidersku poziciju u regionu i šire, a novosadsku genetiku soje čine prepoznatljivom. Kolekcija lucerke poseduje oko 800 genotipova različitih varijateta i nivoa dormantnosti. Kraj XX i početak XXI veka, karakteriše primena novog koncepta oplemenjivanja lucerke na prinos per se, koji treba da iskoristi prirodni heterozis u cilju stvaranja semihibrida. Centar izuzetnih vrednosti za leguminoze raspolaže sa 655 genotipova crvene deteline, oko 730 genotipova graška i 495 genotipova grahorica. Značajan doprinos nauci je stvaranje prve sorte ozimog graška za zrno u Jugoistočnoj Evropi (NS Mraz).",
publisher = "Novi Sad: Institut za ratarstvo i povrtarstvo",
journal = "Ratarstvo i povrtarstvo / Field and Vegetable Crops Research",
title = "The importance of legume genetic resources for breeding, Značaj genetskih resursa leguminoza za oplemenjivanje",
pages = "103-94",
number = "3",
volume = "58",
doi = "10.5937/ratpov58-34802"
}

Miladinović, J., Mihailović, V., Đorđević, V., Vasiljević, S., Katanski, S., Živanov, D.,& Ranđelović, P.. (2021). The importance of legume genetic resources for breeding. in Ratarstvo i povrtarstvo / Field and Vegetable Crops Research
Novi Sad: Institut za ratarstvo i povrtarstvo., 58(3), 94-103.
https://doi.org/10.5937/ratpov58-34802

Miladinović J, Mihailović V, Đorđević V, Vasiljević S, Katanski S, Živanov D, Ranđelović P. The importance of legume genetic resources for breeding. in Ratarstvo i povrtarstvo / Field and Vegetable Crops Research. 2021;58(3):94-103.
doi:10.5937/ratpov58-34802 .

Miladinović, Jegor, Mihailović, Vojislav, Đorđević, Vuk, Vasiljević, Sanja, Katanski, Snežana, Živanov, Dalibor, Ranđelović, Predrag, "The importance of legume genetic resources for breeding" in Ratarstvo i povrtarstvo / Field and Vegetable Crops Research, 58, no. 3 (2021):94-103,
https://doi.org/10.5937/ratpov58-34802 . .

TY  - CONF
AU  - Jevtić, Radivoje
AU  - Župunski, Vesna
AU  - Lalošević, Mirjana
PY  - 2021
UR  - http://fiver.ifvcns.rs/handle/123456789/3821
AB  - Bunt of wheat is a fungal disease that occurs worldwide. Tilletia caries is predominant in Serbia, but the presence of T. foetida and putative hybrid of T. caries and T. foetida was also reported. Quarantine species for Serbia include both T. contraversa Kühn and T. indica Mitra. In the past, common bunt had a severe impact on wheat seed production due to the economic embargo imposed on our country. Outbreaks of common bunt were usually caused by sowing undeclared seed, discontinuation of fungicide treatments, and prevalence of disease-conducive environment. Nowadays, common bunt is successfully controlled in conventional production, but the survey on the presence of Tilletia spp. shown that in 151 samples, 74 % were contaminated with < 0.1 teliospore per seed, while 4 of the 16 commercial seed samples were contaminated above the threshold level of 0.01% determined for mercantile wheat by the Ministry of Agriculture, Trade, Forestry and Water Management. These findings indicated the great potential for seed infection and contamination with Tilletia spp. in Serbia which could pose a serious trait for organic production.
PB  - Vienna : University of Natural Resources and Life Sciences (BOKU)
C3  - Book of Abstracts, 21st International Workshop on Bunt and Smut Diseases, Tulln, 5-6 May 2021
T1  - Status of Tilletia spp. in Serbia - past, present, future
EP  - 4
SP  - 4
UR  - https://hdl.handle.net/21.15107/rcub_fiver_3821
ER  - 

@conference{
author = "Jevtić, Radivoje and Župunski, Vesna and Lalošević, Mirjana",
year = "2021",
abstract = "Bunt of wheat is a fungal disease that occurs worldwide. Tilletia caries is predominant in Serbia, but the presence of T. foetida and putative hybrid of T. caries and T. foetida was also reported. Quarantine species for Serbia include both T. contraversa Kühn and T. indica Mitra. In the past, common bunt had a severe impact on wheat seed production due to the economic embargo imposed on our country. Outbreaks of common bunt were usually caused by sowing undeclared seed, discontinuation of fungicide treatments, and prevalence of disease-conducive environment. Nowadays, common bunt is successfully controlled in conventional production, but the survey on the presence of Tilletia spp. shown that in 151 samples, 74 % were contaminated with < 0.1 teliospore per seed, while 4 of the 16 commercial seed samples were contaminated above the threshold level of 0.01% determined for mercantile wheat by the Ministry of Agriculture, Trade, Forestry and Water Management. These findings indicated the great potential for seed infection and contamination with Tilletia spp. in Serbia which could pose a serious trait for organic production.",
publisher = "Vienna : University of Natural Resources and Life Sciences (BOKU)",
journal = "Book of Abstracts, 21st International Workshop on Bunt and Smut Diseases, Tulln, 5-6 May 2021",
title = "Status of Tilletia spp. in Serbia - past, present, future",
pages = "4-4",
url = "https://hdl.handle.net/21.15107/rcub_fiver_3821"
}

Jevtić, R., Župunski, V.,& Lalošević, M.. (2021). Status of Tilletia spp. in Serbia - past, present, future. in Book of Abstracts, 21st International Workshop on Bunt and Smut Diseases, Tulln, 5-6 May 2021
Vienna : University of Natural Resources and Life Sciences (BOKU)., 4-4.
https://hdl.handle.net/21.15107/rcub_fiver_3821

Jevtić R, Župunski V, Lalošević M. Status of Tilletia spp. in Serbia - past, present, future. in Book of Abstracts, 21st International Workshop on Bunt and Smut Diseases, Tulln, 5-6 May 2021. 2021;:4-4.
https://hdl.handle.net/21.15107/rcub_fiver_3821 .

Jevtić, Radivoje, Župunski, Vesna, Lalošević, Mirjana, "Status of Tilletia spp. in Serbia - past, present, future" in Book of Abstracts, 21st International Workshop on Bunt and Smut Diseases, Tulln, 5-6 May 2021 (2021):4-4,
https://hdl.handle.net/21.15107/rcub_fiver_3821 .

TY  - JOUR
AU  - Ranđelović, Predrag
AU  - Đorđević, Vuk
AU  - Milić, Stanko
AU  - Balešević-Tubić, Svetlana
AU  - Petrović, Kristina
AU  - Miladinović, Jegor
AU  - Đukić, Vojin
PY  - 2020
UR  - http://fiver.ifvcns.rs/handle/123456789/2046
AB  - Soybean plant density is an important factor of successful agricultural production. Due to the high number of plants per unit area, early plant overlapping and eventual plant loss, the estimation of soybean plant density in the later stages of development should enable the determination of the final plant number and reflect the state of the harvest. In order to assess soybean plant density in a digital, nondestructive, and less intense way, analysis was performed on RGB images (containing three channels: RED, GREEN, and BLUE) taken with a UAV (Unmanned Aerial Vehicle) on 66 experimental plots in 2018, and 200 experimental plots in 2019. Mean values of the R, G, and B channels were extracted for each plot, then vegetation indices (VIs) were calculated and used as predictors for the machine learning model (MLM). The model was calibrated in 2018 and validated in 2019. For validation purposes, the predicted values for the 200 experimental plots were compared with the real number of plants per unit area (m(2)). Model validation resulted in the correlation coefficient-R = 0.87, mean absolute error (MAE) = 6.24, and root mean square error (RMSE) = 7.47. The results of the research indicate the possibility of using the MLM, based on simple values of VIs, for the prediction of plant density in agriculture without using human labor.
PB  - Basel : MDPI
T2  - Agronomy-Basel
T1  - Prediction of Soybean Plant Density Using a Machine Learning Model and Vegetation Indices Extracted from RGB Images Taken with a UAV
IS  - 8
VL  - 10
DO  - 10.3390/agronomy10081108
ER  - 

@article{
author = "Ranđelović, Predrag and Đorđević, Vuk and Milić, Stanko and Balešević-Tubić, Svetlana and Petrović, Kristina and Miladinović, Jegor and Đukić, Vojin",
year = "2020",
abstract = "Soybean plant density is an important factor of successful agricultural production. Due to the high number of plants per unit area, early plant overlapping and eventual plant loss, the estimation of soybean plant density in the later stages of development should enable the determination of the final plant number and reflect the state of the harvest. In order to assess soybean plant density in a digital, nondestructive, and less intense way, analysis was performed on RGB images (containing three channels: RED, GREEN, and BLUE) taken with a UAV (Unmanned Aerial Vehicle) on 66 experimental plots in 2018, and 200 experimental plots in 2019. Mean values of the R, G, and B channels were extracted for each plot, then vegetation indices (VIs) were calculated and used as predictors for the machine learning model (MLM). The model was calibrated in 2018 and validated in 2019. For validation purposes, the predicted values for the 200 experimental plots were compared with the real number of plants per unit area (m(2)). Model validation resulted in the correlation coefficient-R = 0.87, mean absolute error (MAE) = 6.24, and root mean square error (RMSE) = 7.47. The results of the research indicate the possibility of using the MLM, based on simple values of VIs, for the prediction of plant density in agriculture without using human labor.",
publisher = "Basel : MDPI",
journal = "Agronomy-Basel",
title = "Prediction of Soybean Plant Density Using a Machine Learning Model and Vegetation Indices Extracted from RGB Images Taken with a UAV",
number = "8",
volume = "10",
doi = "10.3390/agronomy10081108"
}

Ranđelović, P., Đorđević, V., Milić, S., Balešević-Tubić, S., Petrović, K., Miladinović, J.,& Đukić, V.. (2020). Prediction of Soybean Plant Density Using a Machine Learning Model and Vegetation Indices Extracted from RGB Images Taken with a UAV. in Agronomy-Basel
Basel : MDPI., 10(8).
https://doi.org/10.3390/agronomy10081108

Ranđelović P, Đorđević V, Milić S, Balešević-Tubić S, Petrović K, Miladinović J, Đukić V. Prediction of Soybean Plant Density Using a Machine Learning Model and Vegetation Indices Extracted from RGB Images Taken with a UAV. in Agronomy-Basel. 2020;10(8).
doi:10.3390/agronomy10081108 .

Ranđelović, Predrag, Đorđević, Vuk, Milić, Stanko, Balešević-Tubić, Svetlana, Petrović, Kristina, Miladinović, Jegor, Đukić, Vojin, "Prediction of Soybean Plant Density Using a Machine Learning Model and Vegetation Indices Extracted from RGB Images Taken with a UAV" in Agronomy-Basel, 10, no. 8 (2020),
https://doi.org/10.3390/agronomy10081108 . .