TY  - JOUR
AU  - Ćeran, Marina
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Vasiljević, Marjana
AU  - Đukić, Vojin
AU  - Ranđelović, Predrag
AU  - Jaćimović, Simona
PY  - 2024
UR  - http://fiver.ifvcns.rs/handle/123456789/4471
AB  - To overcome the different challenges to food security caused by a growing population andclimate change, soybean (Glycine max (L.) Merr.) breeders are creating novel cultivars that have thepotential to improve productivity while maintaining environmental sustainability. Genomic selection(GS) is an advanced approach that may accelerate the rate of genetic gain in breeding using genome-wide molecular markers. The accuracy of genomic selection can be affected by trait architectureand heritability, marker density, linkage disequilibrium, statistical models, and training set. Theselection of a minimal and optimal marker set with high prediction accuracy can lower genotypingcosts, computational time, and multicollinearity. Selective phenotyping could reduce the numberof genotypes tested in the field while preserving the genetic diversity of the initial population. Thisstudy aimed to evaluate different methods of selective genotyping and phenotyping on the accuracyof genomic prediction for soybean yield. The evaluation was performed on three populations:recombinant inbred lines, multifamily diverse lines, and germplasm collection. Strategies adoptedfor marker selection were as follows: SNP (single nucleotide polymorphism) pruning, estimation ofmarker effects, randomly selected markers, and genome-wide association study. Reduction of thenumber of genotypes was performed by selecting a core set from the initial population based onmarker data, yet maintaining the original population’s genetic diversity. Prediction ability using allmarkers and genotypes was different among examined populations. The subsets obtained by themodel-based strategy can be considered the most suitable for marker selection for all populations. Theselective phenotyping based on makers in all cases had higher values of prediction ability comparedto minimal values of prediction ability of multiple cycles of random selection, with the highestvalues of prediction obtained using AN approach and 75% population size. The obtained resultsindicate that selective genotyping and phenotyping hold great potential and can be integrated astools for improving or retaining selection accuracy by reducing genotyping or phenotyping costs forgenomic selection.
PB  - Basel : MDPI
T2  - Plants
T1  - Selective Genotyping and Phenotyping for Optimization of Genomic Prediction Models for Populations with Different Diversity
IS  - 7
SP  - 975
VL  - 13
DO  - 10.3390/plants13070975
ER  - 

@article{
author = "Ćeran, Marina and Đorđević, Vuk and Miladinović, Jegor and Vasiljević, Marjana and Đukić, Vojin and Ranđelović, Predrag and Jaćimović, Simona",
year = "2024",
abstract = "To overcome the different challenges to food security caused by a growing population andclimate change, soybean (Glycine max (L.) Merr.) breeders are creating novel cultivars that have thepotential to improve productivity while maintaining environmental sustainability. Genomic selection(GS) is an advanced approach that may accelerate the rate of genetic gain in breeding using genome-wide molecular markers. The accuracy of genomic selection can be affected by trait architectureand heritability, marker density, linkage disequilibrium, statistical models, and training set. Theselection of a minimal and optimal marker set with high prediction accuracy can lower genotypingcosts, computational time, and multicollinearity. Selective phenotyping could reduce the numberof genotypes tested in the field while preserving the genetic diversity of the initial population. Thisstudy aimed to evaluate different methods of selective genotyping and phenotyping on the accuracyof genomic prediction for soybean yield. The evaluation was performed on three populations:recombinant inbred lines, multifamily diverse lines, and germplasm collection. Strategies adoptedfor marker selection were as follows: SNP (single nucleotide polymorphism) pruning, estimation ofmarker effects, randomly selected markers, and genome-wide association study. Reduction of thenumber of genotypes was performed by selecting a core set from the initial population based onmarker data, yet maintaining the original population’s genetic diversity. Prediction ability using allmarkers and genotypes was different among examined populations. The subsets obtained by themodel-based strategy can be considered the most suitable for marker selection for all populations. Theselective phenotyping based on makers in all cases had higher values of prediction ability comparedto minimal values of prediction ability of multiple cycles of random selection, with the highestvalues of prediction obtained using AN approach and 75% population size. The obtained resultsindicate that selective genotyping and phenotyping hold great potential and can be integrated astools for improving or retaining selection accuracy by reducing genotyping or phenotyping costs forgenomic selection.",
publisher = "Basel : MDPI",
journal = "Plants",
title = "Selective Genotyping and Phenotyping for Optimization of Genomic Prediction Models for Populations with Different Diversity",
number = "7",
pages = "975",
volume = "13",
doi = "10.3390/plants13070975"
}

Ćeran, M., Đorđević, V., Miladinović, J., Vasiljević, M., Đukić, V., Ranđelović, P.,& Jaćimović, S.. (2024). Selective Genotyping and Phenotyping for Optimization of Genomic Prediction Models for Populations with Different Diversity. in Plants
Basel : MDPI., 13(7), 975.
https://doi.org/10.3390/plants13070975

Ćeran M, Đorđević V, Miladinović J, Vasiljević M, Đukić V, Ranđelović P, Jaćimović S. Selective Genotyping and Phenotyping for Optimization of Genomic Prediction Models for Populations with Different Diversity. in Plants. 2024;13(7):975.
doi:10.3390/plants13070975 .

Ćeran, Marina, Đorđević, Vuk, Miladinović, Jegor, Vasiljević, Marjana, Đukić, Vojin, Ranđelović, Predrag, Jaćimović, Simona, "Selective Genotyping and Phenotyping for Optimization of Genomic Prediction Models for Populations with Different Diversity" in Plants, 13, no. 7 (2024):975,
https://doi.org/10.3390/plants13070975 . .

TY  - CONF
AU  - Đukić, Vojin
AU  - Miladinović, Jegor
AU  - Đorđević, Vuk
AU  - Ćeran, Marina
AU  - Ranđelović, Predrag
AU  - Vasiljević, Marjana
AU  - Jaćimović, Simona
PY  - 2024
UR  - http://fiver.ifvcns.rs/handle/123456789/4267
AB  - Prema procenama Poslovne zajednice za industrijsko bilje, soja je u 2023. godini bila zasejana na površini od 165.000 hektara, a ostvareni prosečni prinosi su oko 3.000 kgha-1. Može se reći da je 2023. godina bila povoljna za proizvodnju soje, a prosečni prinosi bi bili i veći da u vreme nalivanja zrna nismo imali veoma visoke temperature praćene nedostatkom vlage i toplim vetrovima koji su doprineli povećanoj transpiraciji, prinudnom sazrevanju biljaka soje i svakako smanjenju očekivanih prinosa.
PB  - Novi Sad : Institut za ratarstvo i povrtarstvo
C3  - Zbornik referata, 58. Savetovanje agronoma i poljoprivrednika Srbije (SAPS) i 4. Savetovanje agronoma Srbije i Republike Srpske, Zlatibor, 29. januar - 2. februar 2024.
T1  - Soja u 2023. godini
EP  - 23
SP  - 14
UR  - https://hdl.handle.net/21.15107/rcub_fiver_4267
ER  - 

@conference{
author = "Đukić, Vojin and Miladinović, Jegor and Đorđević, Vuk and Ćeran, Marina and Ranđelović, Predrag and Vasiljević, Marjana and Jaćimović, Simona",
year = "2024",
abstract = "Prema procenama Poslovne zajednice za industrijsko bilje, soja je u 2023. godini bila zasejana na površini od 165.000 hektara, a ostvareni prosečni prinosi su oko 3.000 kgha-1. Može se reći da je 2023. godina bila povoljna za proizvodnju soje, a prosečni prinosi bi bili i veći da u vreme nalivanja zrna nismo imali veoma visoke temperature praćene nedostatkom vlage i toplim vetrovima koji su doprineli povećanoj transpiraciji, prinudnom sazrevanju biljaka soje i svakako smanjenju očekivanih prinosa.",
publisher = "Novi Sad : Institut za ratarstvo i povrtarstvo",
journal = "Zbornik referata, 58. Savetovanje agronoma i poljoprivrednika Srbije (SAPS) i 4. Savetovanje agronoma Srbije i Republike Srpske, Zlatibor, 29. januar - 2. februar 2024.",
title = "Soja u 2023. godini",
pages = "23-14",
url = "https://hdl.handle.net/21.15107/rcub_fiver_4267"
}

Đukić, V., Miladinović, J., Đorđević, V., Ćeran, M., Ranđelović, P., Vasiljević, M.,& Jaćimović, S.. (2024). Soja u 2023. godini. in Zbornik referata, 58. Savetovanje agronoma i poljoprivrednika Srbije (SAPS) i 4. Savetovanje agronoma Srbije i Republike Srpske, Zlatibor, 29. januar - 2. februar 2024.
Novi Sad : Institut za ratarstvo i povrtarstvo., 14-23.
https://hdl.handle.net/21.15107/rcub_fiver_4267

Đukić V, Miladinović J, Đorđević V, Ćeran M, Ranđelović P, Vasiljević M, Jaćimović S. Soja u 2023. godini. in Zbornik referata, 58. Savetovanje agronoma i poljoprivrednika Srbije (SAPS) i 4. Savetovanje agronoma Srbije i Republike Srpske, Zlatibor, 29. januar - 2. februar 2024.. 2024;:14-23.
https://hdl.handle.net/21.15107/rcub_fiver_4267 .

Đukić, Vojin, Miladinović, Jegor, Đorđević, Vuk, Ćeran, Marina, Ranđelović, Predrag, Vasiljević, Marjana, Jaćimović, Simona, "Soja u 2023. godini" in Zbornik referata, 58. Savetovanje agronoma i poljoprivrednika Srbije (SAPS) i 4. Savetovanje agronoma Srbije i Republike Srpske, Zlatibor, 29. januar - 2. februar 2024. (2024):14-23,
https://hdl.handle.net/21.15107/rcub_fiver_4267 .

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  - Miladinović, Jegor
AU  - Đorđević, Vuk
AU  - Vollmann, Johann
AU  - Vasiljević, Marjana
AU  - Ranđelović, Predrag
AU  - Ćeran, Marina
AU  - Jaćimović, Simona
AU  - Đukić, Vojin
AU  - Latković, Dragana
AU  - Rittler, Leopold
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3655
AB  - In past few decades, soybean breeders in Europe have been successful in producing a large number of commercial varieties using conventional breeding methods, most of all single seed descent (SSD) method with various modifications. As a supplement to conventional breeding methods, number of breeding tools like high‐throughput phenotyping, marker assisted selection, genomic selection, and others, are used to speed up the breeding process. Low genetic diversity is a major obstacle to soybean improvement. Therefore, projects between Europe and China, centre of origin of soybean, that involve germplasm exchange are intensified in recent years. Utilization of wild soybean species, especially perennial ones, bears a huge, still unused potential for improving soybean breeding process. Increased demand for non‐GMO soybeans, led to intensifying of soybean research throughout Europe which resulted in the number of companies that offer commercial soybean varieties. The oldest and best‐known among them are Lidea from France, Institute of Field and Vegetable Crops from Serbia, Agroscope from Switzerland, RAGT from France and a number of other companies which initiated soybean breeding programs later.
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 breeding in Europe: methods, sources, and utilization
EP  - 17
SP  - 17
DO  - 10.5281/zenodo.7974681
ER  - 

@conference{
author = "Miladinović, Jegor and Đorđević, Vuk and Vollmann, Johann and Vasiljević, Marjana and Ranđelović, Predrag and Ćeran, Marina and Jaćimović, Simona and Đukić, Vojin and Latković, Dragana and Rittler, Leopold",
year = "2023",
abstract = "In past few decades, soybean breeders in Europe have been successful in producing a large number of commercial varieties using conventional breeding methods, most of all single seed descent (SSD) method with various modifications. As a supplement to conventional breeding methods, number of breeding tools like high‐throughput phenotyping, marker assisted selection, genomic selection, and others, are used to speed up the breeding process. Low genetic diversity is a major obstacle to soybean improvement. Therefore, projects between Europe and China, centre of origin of soybean, that involve germplasm exchange are intensified in recent years. Utilization of wild soybean species, especially perennial ones, bears a huge, still unused potential for improving soybean breeding process. Increased demand for non‐GMO soybeans, led to intensifying of soybean research throughout Europe which resulted in the number of companies that offer commercial soybean varieties. The oldest and best‐known among them are Lidea from France, Institute of Field and Vegetable Crops from Serbia, Agroscope from Switzerland, RAGT from France and a number of other companies which initiated soybean breeding programs later.",
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 breeding in Europe: methods, sources, and utilization",
pages = "17-17",
doi = "10.5281/zenodo.7974681"
}

Miladinović, J., Đorđević, V., Vollmann, J., Vasiljević, M., Ranđelović, P., Ćeran, M., Jaćimović, S., Đukić, V., Latković, D.,& Rittler, L.. (2023). Soybean breeding in Europe: methods, sources, and utilization. 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)., 17-17.
https://doi.org/10.5281/zenodo.7974681

Miladinović J, Đorđević V, Vollmann J, Vasiljević M, Ranđelović P, Ćeran M, Jaćimović S, Đukić V, Latković D, Rittler L. Soybean breeding in Europe: methods, sources, and utilization. in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023. 2023;:17-17.
doi:10.5281/zenodo.7974681 .

Miladinović, Jegor, Đorđević, Vuk, Vollmann, Johann, Vasiljević, Marjana, Ranđelović, Predrag, Ćeran, Marina, Jaćimović, Simona, Đukić, Vojin, Latković, Dragana, Rittler, Leopold, "Soybean breeding in Europe: methods, sources, and utilization" in Abstracts, 11th World Soybean Research Conference (WSRC 11), Soybean Research for Sustainable Development, Vienna, 18-23 June 2023 (2023):17-17,
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  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Ćeran, Marina
AU  - Vasiljević, Marjana
AU  - Đukić, Vojin
AU  - Ranđelović, Predrag
AU  - Jaćimović, Simona
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3999
AB  - Omics tehnike podrazumevaju analize velikih razmera koje se odnose na sveukupnost određenih elemenata živih bića. Iako se ove tehnike rapidno razvijaju, kao što su genomika, transkriptomika i druge, samo jedan deo ovih tehnika je našao primenu u oplemenjivanju biljaka. Genomika svakako predstavlja osnovni moderan alat u genetičkim istraživanjima, kroz različite primene u istraživanjima. Za oplemenjivanje biljaka jedna od najznačajnijih primena genomike je u razvoju modela genomske predikcije, koja omogućava da se isključivo na osnovu genomskih podataka mogu precizno predvideti genetski potecijal pojedinačnih biljaka u određenim proizvodnim uslovima, što omogućava odabir superiornih kandidata za dalji oplemenjivački rad. Visoko propusna fenotipizacija, iako ne spade u klasične omics tehnike, koristi brza i automatska merenja različitih osobina biljaka, kao što su rast, vreme cvetanja, lisna površina i druge. Korišćenjem ovih podataka, uz integraciju sa genomskim podacima, omogućavaju sveobuhvatno razumevanje kako geni deluju na ukupnu fenotipsku varijabilnost.
AB  - Omics techniques involve large-scale analyzes related to the totality of certain elements of living beings. Although these techniques are rapidly developing, such as genomics, transcriptomics and others, only a part of these techniques have found application in plant breeding. Genomics certainly represents a basic modern tool in genetic research, through various applications in applied research. One of the most significant uses of genomics in plant breeding is the creation of genomic prediction models, which allow one to select the best candidates for additional breeding work by accurately predicting the genetic potential of specific plants under specific production conditions using only genomic data. Although not a traditional omics technique, high-throughput phenotyping involves quick and automatic measurements of a variety of plant traits, including growth, blooming period, leaf area, and others. These data enable a thorough knowledge of how genes influence overall phenotypic variability, coupled with integration with genomic data.
PB  - Beograd : Društvo genetičara Srbije
PB  - Beograd : Društvo selekcionera i semenara Srbije
C3  - Zbornik apstrakata, 10. Simpozijum Društva selekcionera i semenara Republike Srbije i 7. Simpozijum Sekcije za oplemenjivanje organizama Društva genetičara Srbije, Vrnjačka Banja, 16-18.10.2023.
T1  - Mogu li “omics” tehnike povećati genetičku dobit od selekcije?
T1  - Can “omics” methods boost the genetic benefit of selection?
EP  - 38
SP  - 37
UR  - https://hdl.handle.net/21.15107/rcub_fiver_3999
ER  - 

@conference{
author = "Đorđević, Vuk and Miladinović, Jegor and Ćeran, Marina and Vasiljević, Marjana and Đukić, Vojin and Ranđelović, Predrag and Jaćimović, Simona",
year = "2023",
abstract = "Omics tehnike podrazumevaju analize velikih razmera koje se odnose na sveukupnost određenih elemenata živih bića. Iako se ove tehnike rapidno razvijaju, kao što su genomika, transkriptomika i druge, samo jedan deo ovih tehnika je našao primenu u oplemenjivanju biljaka. Genomika svakako predstavlja osnovni moderan alat u genetičkim istraživanjima, kroz različite primene u istraživanjima. Za oplemenjivanje biljaka jedna od najznačajnijih primena genomike je u razvoju modela genomske predikcije, koja omogućava da se isključivo na osnovu genomskih podataka mogu precizno predvideti genetski potecijal pojedinačnih biljaka u određenim proizvodnim uslovima, što omogućava odabir superiornih kandidata za dalji oplemenjivački rad. Visoko propusna fenotipizacija, iako ne spade u klasične omics tehnike, koristi brza i automatska merenja različitih osobina biljaka, kao što su rast, vreme cvetanja, lisna površina i druge. Korišćenjem ovih podataka, uz integraciju sa genomskim podacima, omogućavaju sveobuhvatno razumevanje kako geni deluju na ukupnu fenotipsku varijabilnost., Omics techniques involve large-scale analyzes related to the totality of certain elements of living beings. Although these techniques are rapidly developing, such as genomics, transcriptomics and others, only a part of these techniques have found application in plant breeding. Genomics certainly represents a basic modern tool in genetic research, through various applications in applied research. One of the most significant uses of genomics in plant breeding is the creation of genomic prediction models, which allow one to select the best candidates for additional breeding work by accurately predicting the genetic potential of specific plants under specific production conditions using only genomic data. Although not a traditional omics technique, high-throughput phenotyping involves quick and automatic measurements of a variety of plant traits, including growth, blooming period, leaf area, and others. These data enable a thorough knowledge of how genes influence overall phenotypic variability, coupled with integration with genomic data.",
publisher = "Beograd : Društvo genetičara Srbije, Beograd : Društvo selekcionera i semenara Srbije",
journal = "Zbornik apstrakata, 10. Simpozijum Društva selekcionera i semenara Republike Srbije i 7. Simpozijum Sekcije za oplemenjivanje organizama Društva genetičara Srbije, Vrnjačka Banja, 16-18.10.2023.",
title = "Mogu li “omics” tehnike povećati genetičku dobit od selekcije?, Can “omics” methods boost the genetic benefit of selection?",
pages = "38-37",
url = "https://hdl.handle.net/21.15107/rcub_fiver_3999"
}

Đorđević, V., Miladinović, J., Ćeran, M., Vasiljević, M., Đukić, V., Ranđelović, P.,& Jaćimović, S.. (2023). Mogu li “omics” tehnike povećati genetičku dobit od selekcije?. in Zbornik apstrakata, 10. Simpozijum Društva selekcionera i semenara Republike Srbije i 7. Simpozijum Sekcije za oplemenjivanje organizama Društva genetičara Srbije, Vrnjačka Banja, 16-18.10.2023.
Beograd : Društvo genetičara Srbije., 37-38.
https://hdl.handle.net/21.15107/rcub_fiver_3999

Đorđević V, Miladinović J, Ćeran M, Vasiljević M, Đukić V, Ranđelović P, Jaćimović S. Mogu li “omics” tehnike povećati genetičku dobit od selekcije?. in Zbornik apstrakata, 10. Simpozijum Društva selekcionera i semenara Republike Srbije i 7. Simpozijum Sekcije za oplemenjivanje organizama Društva genetičara Srbije, Vrnjačka Banja, 16-18.10.2023.. 2023;:37-38.
https://hdl.handle.net/21.15107/rcub_fiver_3999 .

Đorđević, Vuk, Miladinović, Jegor, Ćeran, Marina, Vasiljević, Marjana, Đukić, Vojin, Ranđelović, Predrag, Jaćimović, Simona, "Mogu li “omics” tehnike povećati genetičku dobit od selekcije?" in Zbornik apstrakata, 10. Simpozijum Društva selekcionera i semenara Republike Srbije i 7. Simpozijum Sekcije za oplemenjivanje organizama Društva genetičara Srbije, Vrnjačka Banja, 16-18.10.2023. (2023):37-38,
https://hdl.handle.net/21.15107/rcub_fiver_3999 .

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  - Đukić, Vojin
AU  - Miladinović, Jegor
AU  - Stojanović, Danijela
AU  - Đorđević, Vuk
AU  - Vasiljević, Sanja
AU  - Ranđelović, Predrag
AU  - Ćeran, Marina
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/4181
AB  - U Odeljenju za soju, Instituta za ratarstvo i povrtarstvo iz Novog Sada do sada je registrovano 174 NS sorte soje, različitih grupa zrenja. Cilj ovoga rada je sagledavanje prinosa, sadržaja proteina i ulja, kao i prinosa proteina i ulja po jedinici površine, najnovijih NS sorti soje priznatih u 2023 godini. U dvogodišnjim ogledima Ministarstva poljoprivrede, šumarstva i vodoprivrede, na pet lokaliteta, najviši prinos imala je sorta soje NS Aurelius (3.088 kg ha-1). Najviši sadržaj proteina imala je sorta NS Ecob (45,80%), dok je najviši sadržaj ulja zabeležen kod sorti NS Sedef (20,88) i NS Apolo (20,76%).
AB  - The Department of soybean, Institute of Field and Vegetable Crops in Novi Sad has so far registered 174 NS soybean cultivars of different maturity groups. The aim of this study is to assess the yield, protein and oil content, as well as protein and oil yield per unit area, the latest NS varieties registered in 2023. In the two-year trials of the Ministry of Agriculture and Environmental Protection, at five locations, the highest yield had late soybean NS Aurelius (3.088 kg ha-1). The highest protein content was early variety NS Ecob (45.80%), while the highest oil content was recorded in varieties NS Sedef (20.88) and NS Apolo (20.76%).
PB  - Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet
PB  - Novi Sad : Institut za ratarstvo i povrtarstvo
PB  - Novi Sad : Poslovna zajednica "Industrijsko bilje"
C3  - Zbornik radova, 64. Savetovanje Proizvodnja i prerada uljarica, Herceg Novi, 25-30. jun 2023.
T1  - Kvalitet novopriznatih NS sorti soje u 2023. godini
T1  - Quality newly released NS varieties soybean in 2023
EP  - 53
SP  - 45
UR  - https://hdl.handle.net/21.15107/rcub_fiver_4181
ER  - 

@conference{
author = "Đukić, Vojin and Miladinović, Jegor and Stojanović, Danijela and Đorđević, Vuk and Vasiljević, Sanja and Ranđelović, Predrag and Ćeran, Marina",
year = "2023",
abstract = "U Odeljenju za soju, Instituta za ratarstvo i povrtarstvo iz Novog Sada do sada je registrovano 174 NS sorte soje, različitih grupa zrenja. Cilj ovoga rada je sagledavanje prinosa, sadržaja proteina i ulja, kao i prinosa proteina i ulja po jedinici površine, najnovijih NS sorti soje priznatih u 2023 godini. U dvogodišnjim ogledima Ministarstva poljoprivrede, šumarstva i vodoprivrede, na pet lokaliteta, najviši prinos imala je sorta soje NS Aurelius (3.088 kg ha-1). Najviši sadržaj proteina imala je sorta NS Ecob (45,80%), dok je najviši sadržaj ulja zabeležen kod sorti NS Sedef (20,88) i NS Apolo (20,76%)., The Department of soybean, Institute of Field and Vegetable Crops in Novi Sad has so far registered 174 NS soybean cultivars of different maturity groups. The aim of this study is to assess the yield, protein and oil content, as well as protein and oil yield per unit area, the latest NS varieties registered in 2023. In the two-year trials of the Ministry of Agriculture and Environmental Protection, at five locations, the highest yield had late soybean NS Aurelius (3.088 kg ha-1). The highest protein content was early variety NS Ecob (45.80%), while the highest oil content was recorded in varieties NS Sedef (20.88) and NS Apolo (20.76%).",
publisher = "Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet, Novi Sad : Institut za ratarstvo i povrtarstvo, Novi Sad : Poslovna zajednica "Industrijsko bilje"",
journal = "Zbornik radova, 64. Savetovanje Proizvodnja i prerada uljarica, Herceg Novi, 25-30. jun 2023.",
title = "Kvalitet novopriznatih NS sorti soje u 2023. godini, Quality newly released NS varieties soybean in 2023",
pages = "53-45",
url = "https://hdl.handle.net/21.15107/rcub_fiver_4181"
}

Đukić, V., Miladinović, J., Stojanović, D., Đorđević, V., Vasiljević, S., Ranđelović, P.,& Ćeran, M.. (2023). Kvalitet novopriznatih NS sorti soje u 2023. godini. in Zbornik radova, 64. Savetovanje Proizvodnja i prerada uljarica, Herceg Novi, 25-30. jun 2023.
Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet., 45-53.
https://hdl.handle.net/21.15107/rcub_fiver_4181

Đukić V, Miladinović J, Stojanović D, Đorđević V, Vasiljević S, Ranđelović P, Ćeran M. Kvalitet novopriznatih NS sorti soje u 2023. godini. in Zbornik radova, 64. Savetovanje Proizvodnja i prerada uljarica, Herceg Novi, 25-30. jun 2023.. 2023;:45-53.
https://hdl.handle.net/21.15107/rcub_fiver_4181 .

Đukić, Vojin, Miladinović, Jegor, Stojanović, Danijela, Đorđević, Vuk, Vasiljević, Sanja, Ranđelović, Predrag, Ćeran, Marina, "Kvalitet novopriznatih NS sorti soje u 2023. godini" in Zbornik radova, 64. Savetovanje Proizvodnja i prerada uljarica, Herceg Novi, 25-30. jun 2023. (2023):45-53,
https://hdl.handle.net/21.15107/rcub_fiver_4181 .

TY  - CONF
AU  - Ranđelović, Predrag
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Đukić, Vojin
AU  - Jaćimović, Simona
AU  - Ćeran, Marina
AU  - Cvijanović, Marija
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/4188
AB  - Mikroogledi se izvode radi rejonizacije sorti soje i radi daljeg testiranja novopriznatih sorti, sorti soje koje su uvedene u proizvodnju i starijih sorti soje, kako bi se izdvojile sorte koje imaju minimalna variranja u različitim godinama. Cilj ovoga rada je sagledavanje prinosa, sadržaja proteina i ulja, kao i prinosa proteina i ulja po jedinici površine NS sorti soje u mikroogledima u 2022. godini. Sorta soje NS Validus ostvarila je najviši prinos zrna (1.782 kg ha-1), sorta NS Demetrius najviši sadržaj proteina (40,6%), a sorte NS Viseris, NS Kraljica i NS Regulus imale su najviši sadržaj ulja (22,1%), dok je najviši prinos proteina i ulja po jedinici površine ostvaren sa sortom soje NS Validus (666 kg ha-1 i 397 kg ha-1).
AB  - Micro-experiments are performed for the purpose of regionalization of soybean varieties and for further testing of newly recognized varieties, soybean varieties that have been introduced into production and older soybean varieties, in order to single out varieties that have minimal variations in different years. The aim of this paper is to consider the yield, protein and oil content, as well as protein and oil yield per unit area of NS soybean cultivars in the micro-experimental network in 2022. NS Validus soybean variety had the highest grain yield (1782 kg ha-1), NS Demetrius soybean highest protein content (40.6%), NS Viseris, NS Kraljica and NS Regulus cultivars the highest oil content (22.1%), while the highest protein yield and oil yield per unit area achieved with the soybean variety NS Validus (666 kg ha-1 i 397 kg ha-1).
PB  - Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet
PB  - Novi Sad : Institut za ratarstvo i povrtarstvo
PB  - Novi Sad : Poslovna zajednica "Industrijsko bilje"
C3  - Zbornik radova, 64. Savetovanje Proizvodnja i prerada uljarica, Herceg Novi, 25-30. jun 2023.
T1  - Kvalitet NS sorti u mikroogledima soje 2022. godine
T1  - Quality of NS soybean varieties in the micro trials in 2022
EP  - 61
SP  - 55
UR  - https://hdl.handle.net/21.15107/rcub_fiver_4188
ER  - 

@conference{
author = "Ranđelović, Predrag and Đorđević, Vuk and Miladinović, Jegor and Đukić, Vojin and Jaćimović, Simona and Ćeran, Marina and Cvijanović, Marija",
year = "2023",
abstract = "Mikroogledi se izvode radi rejonizacije sorti soje i radi daljeg testiranja novopriznatih sorti, sorti soje koje su uvedene u proizvodnju i starijih sorti soje, kako bi se izdvojile sorte koje imaju minimalna variranja u različitim godinama. Cilj ovoga rada je sagledavanje prinosa, sadržaja proteina i ulja, kao i prinosa proteina i ulja po jedinici površine NS sorti soje u mikroogledima u 2022. godini. Sorta soje NS Validus ostvarila je najviši prinos zrna (1.782 kg ha-1), sorta NS Demetrius najviši sadržaj proteina (40,6%), a sorte NS Viseris, NS Kraljica i NS Regulus imale su najviši sadržaj ulja (22,1%), dok je najviši prinos proteina i ulja po jedinici površine ostvaren sa sortom soje NS Validus (666 kg ha-1 i 397 kg ha-1)., Micro-experiments are performed for the purpose of regionalization of soybean varieties and for further testing of newly recognized varieties, soybean varieties that have been introduced into production and older soybean varieties, in order to single out varieties that have minimal variations in different years. The aim of this paper is to consider the yield, protein and oil content, as well as protein and oil yield per unit area of NS soybean cultivars in the micro-experimental network in 2022. NS Validus soybean variety had the highest grain yield (1782 kg ha-1), NS Demetrius soybean highest protein content (40.6%), NS Viseris, NS Kraljica and NS Regulus cultivars the highest oil content (22.1%), while the highest protein yield and oil yield per unit area achieved with the soybean variety NS Validus (666 kg ha-1 i 397 kg ha-1).",
publisher = "Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet, Novi Sad : Institut za ratarstvo i povrtarstvo, Novi Sad : Poslovna zajednica "Industrijsko bilje"",
journal = "Zbornik radova, 64. Savetovanje Proizvodnja i prerada uljarica, Herceg Novi, 25-30. jun 2023.",
title = "Kvalitet NS sorti u mikroogledima soje 2022. godine, Quality of NS soybean varieties in the micro trials in 2022",
pages = "61-55",
url = "https://hdl.handle.net/21.15107/rcub_fiver_4188"
}

Ranđelović, P., Đorđević, V., Miladinović, J., Đukić, V., Jaćimović, S., Ćeran, M.,& Cvijanović, M.. (2023). Kvalitet NS sorti u mikroogledima soje 2022. godine. in Zbornik radova, 64. Savetovanje Proizvodnja i prerada uljarica, Herceg Novi, 25-30. jun 2023.
Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet., 55-61.
https://hdl.handle.net/21.15107/rcub_fiver_4188

Ranđelović P, Đorđević V, Miladinović J, Đukić V, Jaćimović S, Ćeran M, Cvijanović M. Kvalitet NS sorti u mikroogledima soje 2022. godine. in Zbornik radova, 64. Savetovanje Proizvodnja i prerada uljarica, Herceg Novi, 25-30. jun 2023.. 2023;:55-61.
https://hdl.handle.net/21.15107/rcub_fiver_4188 .

Ranđelović, Predrag, Đorđević, Vuk, Miladinović, Jegor, Đukić, Vojin, Jaćimović, Simona, Ćeran, Marina, Cvijanović, Marija, "Kvalitet NS sorti u mikroogledima soje 2022. godine" in Zbornik radova, 64. Savetovanje Proizvodnja i prerada uljarica, Herceg Novi, 25-30. jun 2023. (2023):55-61,
https://hdl.handle.net/21.15107/rcub_fiver_4188 .

TY  - CONF
AU  - Đukić, Vojin
AU  - Miladinović, Jegor
AU  - Mamlić, Zlatica
AU  - Ćeran, Marina
AU  - Ranđelović, Predrag
AU  - Dozet, Gordana
AU  - Bajagić, Marija
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/4191
AB  - Makroogledi se izvode sa ciljem raspoređivanja pojedinih sorti soje po pojedinim lokalitetima kako bi se ostvarili maksimalni prinosi uz što manja variranja u pojedinim godinama. Koeficijenti varijacije omogućuju detaljnu analizu sorti soje po lokalitetima i godinama. Dobijeni rezultati pokazuju da su koeficijenti varijacije prinosa sorti veoma visoki u nepovoljnim godinama, sa veoma izraženim variranjem prinosa po pojedinim lokalitetima. Cilj ovoga rada je sagledavanje variranja prinosa šest NS sorti soje na četiri lokaliteta tokom tri godine.
AB  - Macro-experiments are carried out with the aim of distributing individual varieties of soybeans in individual locations in order to achieve maximum yields with as little variation as possible in individual years. Coefficients of variation enable a detailed analysis of soybean varieties by location and year. The obtained results show that the coefficients of variation of varieties yield are very high in unfavorable years, with very pronounced variation of yield in individual localities. The aim of this paper is to analize the yield variation of six NS soybean varieties at four localities during three years.
PB  - Smederevska Palanka : Institut za povrtarstvo
C3  - Zbornik radova, Biotehnologija i savremeni pristup u gajenju i oplemenjivanju bilja, Smederevska Palanka, 2. novembar 2023.
T1  - Variranje prinosa pojedinih sorti soje po godinama i lokalitetima
T1  - Variation in yield of certain soybean varieties by years and locations
EP  - 156
SP  - 145
UR  - https://hdl.handle.net/21.15107/rcub_fiver_4191
ER  - 

@conference{
author = "Đukić, Vojin and Miladinović, Jegor and Mamlić, Zlatica and Ćeran, Marina and Ranđelović, Predrag and Dozet, Gordana and Bajagić, Marija",
year = "2023",
abstract = "Makroogledi se izvode sa ciljem raspoređivanja pojedinih sorti soje po pojedinim lokalitetima kako bi se ostvarili maksimalni prinosi uz što manja variranja u pojedinim godinama. Koeficijenti varijacije omogućuju detaljnu analizu sorti soje po lokalitetima i godinama. Dobijeni rezultati pokazuju da su koeficijenti varijacije prinosa sorti veoma visoki u nepovoljnim godinama, sa veoma izraženim variranjem prinosa po pojedinim lokalitetima. Cilj ovoga rada je sagledavanje variranja prinosa šest NS sorti soje na četiri lokaliteta tokom tri godine., Macro-experiments are carried out with the aim of distributing individual varieties of soybeans in individual locations in order to achieve maximum yields with as little variation as possible in individual years. Coefficients of variation enable a detailed analysis of soybean varieties by location and year. The obtained results show that the coefficients of variation of varieties yield are very high in unfavorable years, with very pronounced variation of yield in individual localities. The aim of this paper is to analize the yield variation of six NS soybean varieties at four localities during three years.",
publisher = "Smederevska Palanka : Institut za povrtarstvo",
journal = "Zbornik radova, Biotehnologija i savremeni pristup u gajenju i oplemenjivanju bilja, Smederevska Palanka, 2. novembar 2023.",
title = "Variranje prinosa pojedinih sorti soje po godinama i lokalitetima, Variation in yield of certain soybean varieties by years and locations",
pages = "156-145",
url = "https://hdl.handle.net/21.15107/rcub_fiver_4191"
}

Đukić, V., Miladinović, J., Mamlić, Z., Ćeran, M., Ranđelović, P., Dozet, G.,& Bajagić, M.. (2023). Variranje prinosa pojedinih sorti soje po godinama i lokalitetima. in Zbornik radova, Biotehnologija i savremeni pristup u gajenju i oplemenjivanju bilja, Smederevska Palanka, 2. novembar 2023.
Smederevska Palanka : Institut za povrtarstvo., 145-156.
https://hdl.handle.net/21.15107/rcub_fiver_4191

Đukić V, Miladinović J, Mamlić Z, Ćeran M, Ranđelović P, Dozet G, Bajagić M. Variranje prinosa pojedinih sorti soje po godinama i lokalitetima. in Zbornik radova, Biotehnologija i savremeni pristup u gajenju i oplemenjivanju bilja, Smederevska Palanka, 2. novembar 2023.. 2023;:145-156.
https://hdl.handle.net/21.15107/rcub_fiver_4191 .

Đukić, Vojin, Miladinović, Jegor, Mamlić, Zlatica, Ćeran, Marina, Ranđelović, Predrag, Dozet, Gordana, Bajagić, Marija, "Variranje prinosa pojedinih sorti soje po godinama i lokalitetima" in Zbornik radova, Biotehnologija i savremeni pristup u gajenju i oplemenjivanju bilja, Smederevska Palanka, 2. novembar 2023. (2023):145-156,
https://hdl.handle.net/21.15107/rcub_fiver_4191 .

TY  - JOUR
AU  - Đukić, Vojin
AU  - Miladinović, Jegor
AU  - Stojanović, Danijela
AU  - Mamlić, Zlatica
AU  - Ćeran, Marina
AU  - Ranđelović, Predrag
AU  - Vasiljević, Sanja
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/4469
AB  - U Institutu za ratarstvo i povrtarstvo Novi Sad do 2023. godine registrovano je 174 sorti soje i to 34 sorte soje grupe zrenja 000 i 00, 39 sorti 0 grupe zrenja, 54 sorti 1 grupe zrenja, 41 sorta I] grupe zrenja i 6 sorti soje III grupe zrenja. Cilj ovoga rada je sagledavanje prinosa, sadržaja proteina i ulja, kao i prinosa proteina i ulja po jedinici površine, najnovijih NS sorti soje priznatih u 2023 godini. U dvogodišnjim ogledima Ministarstva poljoprivrede, šumarstva i vodoprivrede Republike Srbije, na pet lokaliteta, najviši prinos imala je sorta soje NS Aurelius (3.088 kg ha-1). Najviši sadržaj proteina imala je sorta NS Ecob (45,8%), dok je najviši sadržaj ulja zabeležen kod sorti NS Sedef (20,9%) i NS Apolo (20,8%).
AB  - Until 2023, 174 soybean varieties were registered at the Institute of Field and Vegetable Crops, 34 soybean varieties of ripening group 000 and 00, 39 varieties of 0 ripening group, 54 varieties of ripening group I, 41 varieties of ripening group II and 6 soybean varieties of ripening group III. The aim of this study is to assess the yield, protein and oil content, as well as protein and oil yield per unit area, the latest NS varieties registered in 2023. In the two-year trials of the Ministry of Agriculture and Environmental Protection, at five locations, the highest yield had late soybean NS Aurelius (3.088 kg ha-1). The highest protein content was early variety NS Ecob (45.8%), while the highest oil content was recorded in varieties NS Sedef (20.9%) and NS Apolo (20.8%).
PB  - Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet
PB  - Novi Sad : Institut za ratarstvo i povrtarstvo
PB  - Novi Sad : Industrijsko bilje
T2  - Uljarstvo
T1  - Sadržaj i prinos proteina i ulja u NS sortama soje registrovanim u 2023. godini
T1  - Content yield of protein and oil in NS soybean varieties registered in 2023
EP  - 45
IS  - 1
SP  - 39
VL  - 54
UR  - https://hdl.handle.net/21.15107/rcub_fiver_4469
ER  - 

@article{
author = "Đukić, Vojin and Miladinović, Jegor and Stojanović, Danijela and Mamlić, Zlatica and Ćeran, Marina and Ranđelović, Predrag and Vasiljević, Sanja",
year = "2023",
abstract = "U Institutu za ratarstvo i povrtarstvo Novi Sad do 2023. godine registrovano je 174 sorti soje i to 34 sorte soje grupe zrenja 000 i 00, 39 sorti 0 grupe zrenja, 54 sorti 1 grupe zrenja, 41 sorta I] grupe zrenja i 6 sorti soje III grupe zrenja. Cilj ovoga rada je sagledavanje prinosa, sadržaja proteina i ulja, kao i prinosa proteina i ulja po jedinici površine, najnovijih NS sorti soje priznatih u 2023 godini. U dvogodišnjim ogledima Ministarstva poljoprivrede, šumarstva i vodoprivrede Republike Srbije, na pet lokaliteta, najviši prinos imala je sorta soje NS Aurelius (3.088 kg ha-1). Najviši sadržaj proteina imala je sorta NS Ecob (45,8%), dok je najviši sadržaj ulja zabeležen kod sorti NS Sedef (20,9%) i NS Apolo (20,8%)., Until 2023, 174 soybean varieties were registered at the Institute of Field and Vegetable Crops, 34 soybean varieties of ripening group 000 and 00, 39 varieties of 0 ripening group, 54 varieties of ripening group I, 41 varieties of ripening group II and 6 soybean varieties of ripening group III. The aim of this study is to assess the yield, protein and oil content, as well as protein and oil yield per unit area, the latest NS varieties registered in 2023. In the two-year trials of the Ministry of Agriculture and Environmental Protection, at five locations, the highest yield had late soybean NS Aurelius (3.088 kg ha-1). The highest protein content was early variety NS Ecob (45.8%), while the highest oil content was recorded in varieties NS Sedef (20.9%) and NS Apolo (20.8%).",
publisher = "Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet, Novi Sad : Institut za ratarstvo i povrtarstvo, Novi Sad : Industrijsko bilje",
journal = "Uljarstvo",
title = "Sadržaj i prinos proteina i ulja u NS sortama soje registrovanim u 2023. godini, Content yield of protein and oil in NS soybean varieties registered in 2023",
pages = "45-39",
number = "1",
volume = "54",
url = "https://hdl.handle.net/21.15107/rcub_fiver_4469"
}

Đukić, V., Miladinović, J., Stojanović, D., Mamlić, Z., Ćeran, M., Ranđelović, P.,& Vasiljević, S.. (2023). Sadržaj i prinos proteina i ulja u NS sortama soje registrovanim u 2023. godini. in Uljarstvo
Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet., 54(1), 39-45.
https://hdl.handle.net/21.15107/rcub_fiver_4469

Đukić V, Miladinović J, Stojanović D, Mamlić Z, Ćeran M, Ranđelović P, Vasiljević S. Sadržaj i prinos proteina i ulja u NS sortama soje registrovanim u 2023. godini. in Uljarstvo. 2023;54(1):39-45.
https://hdl.handle.net/21.15107/rcub_fiver_4469 .

Đukić, Vojin, Miladinović, Jegor, Stojanović, Danijela, Mamlić, Zlatica, Ćeran, Marina, Ranđelović, Predrag, Vasiljević, Sanja, "Sadržaj i prinos proteina i ulja u NS sortama soje registrovanim u 2023. godini" in Uljarstvo, 54, no. 1 (2023):39-45,
https://hdl.handle.net/21.15107/rcub_fiver_4469 .

TY  - CONF
AU  - Vasiljević, Marjana
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Ranđelović, Predrag
AU  - Miljaković, Dragana
AU  - Tintor, Branislava
AU  - Merkulov Popadić, Larisa
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3356
AB  - Osnovni izvor proteina biljnog porekla, ulja i celuloznih vlakana za ishranu ljudi i domaćih životinja obezbeđuje se proizvodnjom jednogodišnjih i višegodišnjih biljnih vrsta iz familije Fabaceae (leguminoza). Savremeni načini upotrebe leguminoza dolaze do izražaja u različitim granama industrije, posebno u farmaceutskoj industriji, zatim kao obnovljivi izvori energije, a sve više su zastupljene kao usevi za obezbeđivanje različitih ekoloških servisa. Leguminoze imaju izuzetan agrotehnički značaj u svim sistemima poljoprivredne proizvodnje zbog sposobnosti biološke fiksacije atmosferskog azota, što posebno dolazi do izražaja u organskoj poljoprivredi usled nemogućnosti primene mineralnih azotnih đubriva. Cilj ovog rada je predstavljanje trenutnog stanja proizvodnih površina u organskoj proizvodnji leguminoza u Republici Srbiji, zastupljenosti biljnih vrsta, potencijala azotofiksacije i preduslova daljeg širenja površina. Poseban akcenat je stavljen na organsku proizvodnju soje, koja predstavlja značajan usev u plodosmeni i jedan je od vrlo traženih proizvoda za proizvodnju stočne hrane i hrane za ljude.
PB  - Novi Sad : Institut za ratarstvo i povrtarstvo
C3  - Zbornik referata, 57. Savetovanje agronoma i poljoprivrednika Srbije (SAPS) i 3. Savetovanje agronoma Republike Srbije i Republike Srpske, Zlatibor, 30. januar - 3. februar 2023.
T1  - Organska proizvodnja leguminoza u Republici Srbiji
SP  - 34
VL  - 43
UR  - https://hdl.handle.net/21.15107/rcub_fiver_3356
ER  - 

@conference{
author = "Vasiljević, Marjana and Đorđević, Vuk and Miladinović, Jegor and Ranđelović, Predrag and Miljaković, Dragana and Tintor, Branislava and Merkulov Popadić, Larisa",
year = "2023",
abstract = "Osnovni izvor proteina biljnog porekla, ulja i celuloznih vlakana za ishranu ljudi i domaćih životinja obezbeđuje se proizvodnjom jednogodišnjih i višegodišnjih biljnih vrsta iz familije Fabaceae (leguminoza). Savremeni načini upotrebe leguminoza dolaze do izražaja u različitim granama industrije, posebno u farmaceutskoj industriji, zatim kao obnovljivi izvori energije, a sve više su zastupljene kao usevi za obezbeđivanje različitih ekoloških servisa. Leguminoze imaju izuzetan agrotehnički značaj u svim sistemima poljoprivredne proizvodnje zbog sposobnosti biološke fiksacije atmosferskog azota, što posebno dolazi do izražaja u organskoj poljoprivredi usled nemogućnosti primene mineralnih azotnih đubriva. Cilj ovog rada je predstavljanje trenutnog stanja proizvodnih površina u organskoj proizvodnji leguminoza u Republici Srbiji, zastupljenosti biljnih vrsta, potencijala azotofiksacije i preduslova daljeg širenja površina. Poseban akcenat je stavljen na organsku proizvodnju soje, koja predstavlja značajan usev u plodosmeni i jedan je od vrlo traženih proizvoda za proizvodnju stočne hrane i hrane za ljude.",
publisher = "Novi Sad : Institut za ratarstvo i povrtarstvo",
journal = "Zbornik referata, 57. Savetovanje agronoma i poljoprivrednika Srbije (SAPS) i 3. Savetovanje agronoma Republike Srbije i Republike Srpske, Zlatibor, 30. januar - 3. februar 2023.",
title = "Organska proizvodnja leguminoza u Republici Srbiji",
pages = "34",
volume = "43",
url = "https://hdl.handle.net/21.15107/rcub_fiver_3356"
}

Vasiljević, M., Đorđević, V., Miladinović, J., Ranđelović, P., Miljaković, D., Tintor, B.,& Merkulov Popadić, L.. (2023). Organska proizvodnja leguminoza u Republici Srbiji. in Zbornik referata, 57. Savetovanje agronoma i poljoprivrednika Srbije (SAPS) i 3. Savetovanje agronoma Republike Srbije i Republike Srpske, Zlatibor, 30. januar - 3. februar 2023.
Novi Sad : Institut za ratarstvo i povrtarstvo., 43, 34.
https://hdl.handle.net/21.15107/rcub_fiver_3356

Vasiljević M, Đorđević V, Miladinović J, Ranđelović P, Miljaković D, Tintor B, Merkulov Popadić L. Organska proizvodnja leguminoza u Republici Srbiji. in Zbornik referata, 57. Savetovanje agronoma i poljoprivrednika Srbije (SAPS) i 3. Savetovanje agronoma Republike Srbije i Republike Srpske, Zlatibor, 30. januar - 3. februar 2023.. 2023;43:34.
https://hdl.handle.net/21.15107/rcub_fiver_3356 .

Vasiljević, Marjana, Đorđević, Vuk, Miladinović, Jegor, Ranđelović, Predrag, Miljaković, Dragana, Tintor, Branislava, Merkulov Popadić, Larisa, "Organska proizvodnja leguminoza u Republici Srbiji" in Zbornik referata, 57. Savetovanje agronoma i poljoprivrednika Srbije (SAPS) i 3. Savetovanje agronoma Republike Srbije i Republike Srpske, Zlatibor, 30. januar - 3. februar 2023., 43 (2023):34,
https://hdl.handle.net/21.15107/rcub_fiver_3356 .

TY  - JOUR
AU  - Đukić, Vojin
AU  - Miladinović, Jegor
AU  - Dozet, Gordana
AU  - Mamlić, Zlatica
AU  - Kandelinska, Olga
AU  - Ranđelović, Predrag
AU  - Latković, Dragana
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/4461
AB  - Tokom 2020. i 2021. godine ispitivana je primena amonijum nitrata i NPK đubriva, kao i amonijum nitrata uz folijarnu primenu vodenog ekstrakta od ploda banane na prinos, sadržaj proteina i sadržaj ulja u zrnu soje. Sve kombinacije đubriva statistički veoma značajno povećavaju prinos soje i sadržaj proteina u zrnu, dok je sadržaj ulja statistički veoma značajno smanjen.
AB  - During 2020 and 2021 ammonium nitrate was tested, ammonium nitrate and NPK fertilizers, as well as ammonium nitrate with foliar application of water extract from banana fruit was investigated on yield, protein content and oil content in soybeans. all combinations of fertilizers statistically significantly increase soybean yield and grain protein content, while oil content in statistically significantly reduced.
PB  - Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet
PB  - Novi Sad : Institut za ratarstvo i povrtarstvo
PB  - Novi Sad : Industrijsko bilje
T2  - Uljarstvo
T1  - Interakcija amonijum nitrata na kvalitet zrna soje pri jesenjoj i prolećnoj obradi zemljišta
T1  - Interaction of ammonium nitrate on the quality of soybean in autumn and spring on soil cultivation
EP  - 53
IS  - 1
SP  - 47
VL  - 54
UR  - https://hdl.handle.net/21.15107/rcub_fiver_4461
ER  - 

@article{
author = "Đukić, Vojin and Miladinović, Jegor and Dozet, Gordana and Mamlić, Zlatica and Kandelinska, Olga and Ranđelović, Predrag and Latković, Dragana",
year = "2023",
abstract = "Tokom 2020. i 2021. godine ispitivana je primena amonijum nitrata i NPK đubriva, kao i amonijum nitrata uz folijarnu primenu vodenog ekstrakta od ploda banane na prinos, sadržaj proteina i sadržaj ulja u zrnu soje. Sve kombinacije đubriva statistički veoma značajno povećavaju prinos soje i sadržaj proteina u zrnu, dok je sadržaj ulja statistički veoma značajno smanjen., During 2020 and 2021 ammonium nitrate was tested, ammonium nitrate and NPK fertilizers, as well as ammonium nitrate with foliar application of water extract from banana fruit was investigated on yield, protein content and oil content in soybeans. all combinations of fertilizers statistically significantly increase soybean yield and grain protein content, while oil content in statistically significantly reduced.",
publisher = "Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet, Novi Sad : Institut za ratarstvo i povrtarstvo, Novi Sad : Industrijsko bilje",
journal = "Uljarstvo",
title = "Interakcija amonijum nitrata na kvalitet zrna soje pri jesenjoj i prolećnoj obradi zemljišta, Interaction of ammonium nitrate on the quality of soybean in autumn and spring on soil cultivation",
pages = "53-47",
number = "1",
volume = "54",
url = "https://hdl.handle.net/21.15107/rcub_fiver_4461"
}

Đukić, V., Miladinović, J., Dozet, G., Mamlić, Z., Kandelinska, O., Ranđelović, P.,& Latković, D.. (2023). Interakcija amonijum nitrata na kvalitet zrna soje pri jesenjoj i prolećnoj obradi zemljišta. in Uljarstvo
Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet., 54(1), 47-53.
https://hdl.handle.net/21.15107/rcub_fiver_4461

Đukić V, Miladinović J, Dozet G, Mamlić Z, Kandelinska O, Ranđelović P, Latković D. Interakcija amonijum nitrata na kvalitet zrna soje pri jesenjoj i prolećnoj obradi zemljišta. in Uljarstvo. 2023;54(1):47-53.
https://hdl.handle.net/21.15107/rcub_fiver_4461 .

Đukić, Vojin, Miladinović, Jegor, Dozet, Gordana, Mamlić, Zlatica, Kandelinska, Olga, Ranđelović, Predrag, Latković, Dragana, "Interakcija amonijum nitrata na kvalitet zrna soje pri jesenjoj i prolećnoj obradi zemljišta" in Uljarstvo, 54, no. 1 (2023):47-53,
https://hdl.handle.net/21.15107/rcub_fiver_4461 .

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  - Đukić, Vojin
AU  - Miladinović, Jegor
AU  - Đorđević, Vuk
AU  - Ćeran, Marina
AU  - Ranđelović, Predrag
AU  - Vasiljević, Marjana
AU  - Ilić, Aleksandar
AU  - Valan, Dragana
AU  - Merkulov Popadić, Larisa
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/2663
AB  - Soja je biljna vrsta poreklom iz suptropskih predela sa povišenom vlagom kako zemljišta, tako i vazduha. Za ostvarivanje visokih i stabilnih prinosa ograničavajući faktor u proizvodnji soje javlja se nedostatak vlage u kriti-
čnim fazama rasta i razvoja biljaka. Prema procenama Poslovne zajednice za industrijsko bilje, soja je u 2021. godini bila zasejana na površini od
230.000 hektara, a ostvareni prosečni prinosi su od 2.200 kgha-1 do 2.300 kgha-1. U ovako lošoj godini za proizvodnju soje prinosi su veoma varirali i između pojedinih regiona, ali i između pojedinih parcela u istim regionima, zavisno od proizvodnih faktora, kao što su plodnost zemljišta, đubrenje, vreme i kvalitet osnovne obrade, predsetvene pripreme, setve soje,
zakorovljenosti parcela, pojavi grinja i agrotehničkih mera primenjenih u toku vegetacionog perioda soje.
PB  - Novi Sad : Institut za ratarstvo i povrtarstvo
C3  - Zbornik referata, 56. Savetovanje agronoma i poljoprivrednika Srbije (SAPS) i 2. Savetovanje agronoma Republike Srbije i Republike Srpske, Zlatibor, 30.01-03.02.2022.
T1  - Soja u 2021. godini
EP  - 77
SP  - 69
UR  - https://hdl.handle.net/21.15107/rcub_fiver_2663
ER  - 

@conference{
author = "Đukić, Vojin and Miladinović, Jegor and Đorđević, Vuk and Ćeran, Marina and Ranđelović, Predrag and Vasiljević, Marjana and Ilić, Aleksandar and Valan, Dragana and Merkulov Popadić, Larisa",
year = "2022",
abstract = "Soja je biljna vrsta poreklom iz suptropskih predela sa povišenom vlagom kako zemljišta, tako i vazduha. Za ostvarivanje visokih i stabilnih prinosa ograničavajući faktor u proizvodnji soje javlja se nedostatak vlage u kriti-
čnim fazama rasta i razvoja biljaka. Prema procenama Poslovne zajednice za industrijsko bilje, soja je u 2021. godini bila zasejana na površini od
230.000 hektara, a ostvareni prosečni prinosi su od 2.200 kgha-1 do 2.300 kgha-1. U ovako lošoj godini za proizvodnju soje prinosi su veoma varirali i između pojedinih regiona, ali i između pojedinih parcela u istim regionima, zavisno od proizvodnih faktora, kao što su plodnost zemljišta, đubrenje, vreme i kvalitet osnovne obrade, predsetvene pripreme, setve soje,
zakorovljenosti parcela, pojavi grinja i agrotehničkih mera primenjenih u toku vegetacionog perioda soje.",
publisher = "Novi Sad : Institut za ratarstvo i povrtarstvo",
journal = "Zbornik referata, 56. Savetovanje agronoma i poljoprivrednika Srbije (SAPS) i 2. Savetovanje agronoma Republike Srbije i Republike Srpske, Zlatibor, 30.01-03.02.2022.",
title = "Soja u 2021. godini",
pages = "77-69",
url = "https://hdl.handle.net/21.15107/rcub_fiver_2663"
}

Đukić, V., Miladinović, J., Đorđević, V., Ćeran, M., Ranđelović, P., Vasiljević, M., Ilić, A., Valan, D.,& Merkulov Popadić, L.. (2022). Soja u 2021. godini. in Zbornik referata, 56. Savetovanje agronoma i poljoprivrednika Srbije (SAPS) i 2. Savetovanje agronoma Republike Srbije i Republike Srpske, Zlatibor, 30.01-03.02.2022.
Novi Sad : Institut za ratarstvo i povrtarstvo., 69-77.
https://hdl.handle.net/21.15107/rcub_fiver_2663

Đukić V, Miladinović J, Đorđević V, Ćeran M, Ranđelović P, Vasiljević M, Ilić A, Valan D, Merkulov Popadić L. Soja u 2021. godini. in Zbornik referata, 56. Savetovanje agronoma i poljoprivrednika Srbije (SAPS) i 2. Savetovanje agronoma Republike Srbije i Republike Srpske, Zlatibor, 30.01-03.02.2022.. 2022;:69-77.
https://hdl.handle.net/21.15107/rcub_fiver_2663 .

Đukić, Vojin, Miladinović, Jegor, Đorđević, Vuk, Ćeran, Marina, Ranđelović, Predrag, Vasiljević, Marjana, Ilić, Aleksandar, Valan, Dragana, Merkulov Popadić, Larisa, "Soja u 2021. godini" in Zbornik referata, 56. Savetovanje agronoma i poljoprivrednika Srbije (SAPS) i 2. Savetovanje agronoma Republike Srbije i Republike Srpske, Zlatibor, 30.01-03.02.2022. (2022):69-77,
https://hdl.handle.net/21.15107/rcub_fiver_2663 .

TY  - CONF
AU  - Đukić, Vojin
AU  - Miladinović, Jegor
AU  - Stojanović, Danijela
AU  - Đorđević, Vuk
AU  - Ranđelović, Predrag
AU  - Ćeran, Marina
AU  - Miljaković, Dragana
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/2880
AB  - U Odeljenju za soju, Instituta za ratarstvo i povrtarstvo iz Novog Sada do sada je registrovano 166 NS sorte soje, različitih grupa zrenja. Cilj ovoga rada je sagledavanje prinosa, sadržaja proteina i ulja, kao i prinosa proteina i ulja po jedinici površine, najnovijih NS sorti soje priznatih u 2022 godini. U dvogodišnjim ogledima Ministarstva poljoprivrede, šumarstva i vodoprivrede, na pet lokaliteta, najviši prinos imala je sorta soje NS Westeros (4.321 kg ha-1). Najviši sadržaj proteina imala je sorta NS Aragonit (41,1%), dok je najviši sadržaj ulja zabeležen kod sorti NS Feba (21,9%) i NS Coral (21,6%).
AB  - The Department of soybean, Institute of Field and Vegetable Crops in Novi Sad has so far registered 166 NS soybean cultivars of different maturity groups. The aim of this study is to assess the yield, protein and oil content, as well as protein and oil yield per unit area, the latest NS varieties registered in 2022. In the two-year trials of the Ministry of Agriculture and Environmental Protection, at five locations, the highest yield had late soybean NS Westeros (4.321 kg ha-1). The highest protein content was early variety NS Aragonit (41.1%), while the highest oil content was recorded in varieties NS Feba (21.9%) and NS Coral (21.6%).
PB  - Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet
PB  - Novi Sad : Institut za ratarstvo i povrtarstvo
PB  - Novi Sad : Industrijsko bilje
C3  - Zbornik radova, 63. Savetovanje proizvodnja i prerada uljarica, 26.6.-2.7.2022, Herceg Novi, Crna Gora
T1  - Kvalitet novopriznatih NS sorti soje u 2022. godini
T1  - Quality newly released NS varieties soybean in 2022
EP  - 71
SP  - 65
UR  - https://hdl.handle.net/21.15107/rcub_fiver_2880
ER  - 

@conference{
author = "Đukić, Vojin and Miladinović, Jegor and Stojanović, Danijela and Đorđević, Vuk and Ranđelović, Predrag and Ćeran, Marina and Miljaković, Dragana",
year = "2022",
abstract = "U Odeljenju za soju, Instituta za ratarstvo i povrtarstvo iz Novog Sada do sada je registrovano 166 NS sorte soje, različitih grupa zrenja. Cilj ovoga rada je sagledavanje prinosa, sadržaja proteina i ulja, kao i prinosa proteina i ulja po jedinici površine, najnovijih NS sorti soje priznatih u 2022 godini. U dvogodišnjim ogledima Ministarstva poljoprivrede, šumarstva i vodoprivrede, na pet lokaliteta, najviši prinos imala je sorta soje NS Westeros (4.321 kg ha-1). Najviši sadržaj proteina imala je sorta NS Aragonit (41,1%), dok je najviši sadržaj ulja zabeležen kod sorti NS Feba (21,9%) i NS Coral (21,6%)., The Department of soybean, Institute of Field and Vegetable Crops in Novi Sad has so far registered 166 NS soybean cultivars of different maturity groups. The aim of this study is to assess the yield, protein and oil content, as well as protein and oil yield per unit area, the latest NS varieties registered in 2022. In the two-year trials of the Ministry of Agriculture and Environmental Protection, at five locations, the highest yield had late soybean NS Westeros (4.321 kg ha-1). The highest protein content was early variety NS Aragonit (41.1%), while the highest oil content was recorded in varieties NS Feba (21.9%) and NS Coral (21.6%).",
publisher = "Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet, Novi Sad : Institut za ratarstvo i povrtarstvo, Novi Sad : Industrijsko bilje",
journal = "Zbornik radova, 63. Savetovanje proizvodnja i prerada uljarica, 26.6.-2.7.2022, Herceg Novi, Crna Gora",
title = "Kvalitet novopriznatih NS sorti soje u 2022. godini, Quality newly released NS varieties soybean in 2022",
pages = "71-65",
url = "https://hdl.handle.net/21.15107/rcub_fiver_2880"
}

Đukić, V., Miladinović, J., Stojanović, D., Đorđević, V., Ranđelović, P., Ćeran, M.,& Miljaković, D.. (2022). Kvalitet novopriznatih NS sorti soje u 2022. godini. in Zbornik radova, 63. Savetovanje proizvodnja i prerada uljarica, 26.6.-2.7.2022, Herceg Novi, Crna Gora
Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet., 65-71.
https://hdl.handle.net/21.15107/rcub_fiver_2880

Đukić V, Miladinović J, Stojanović D, Đorđević V, Ranđelović P, Ćeran M, Miljaković D. Kvalitet novopriznatih NS sorti soje u 2022. godini. in Zbornik radova, 63. Savetovanje proizvodnja i prerada uljarica, 26.6.-2.7.2022, Herceg Novi, Crna Gora. 2022;:65-71.
https://hdl.handle.net/21.15107/rcub_fiver_2880 .

Đukić, Vojin, Miladinović, Jegor, Stojanović, Danijela, Đorđević, Vuk, Ranđelović, Predrag, Ćeran, Marina, Miljaković, Dragana, "Kvalitet novopriznatih NS sorti soje u 2022. godini" in Zbornik radova, 63. Savetovanje proizvodnja i prerada uljarica, 26.6.-2.7.2022, Herceg Novi, Crna Gora (2022):65-71,
https://hdl.handle.net/21.15107/rcub_fiver_2880 .

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  - CONF
AU  - Bajagić, Marija
AU  - Đukić, Vojin
AU  - Mamlić, Zlatica
AU  - Dozet, Gordana
AU  - Cvijanović, Gorica
AU  - Miladinović, Jegor
AU  - Ranđelović, Predrag
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/3374
AB  - Visoki prinosi i stabilna proizvodnja soje pod direktnim su uticajem količine i rasporeda padavina, dostupnosti hraniva biljkama i pravovremenosti primene agrotehničkih mera. Cilj ovih istraživanja je ispitivanje uticaja vremena osnovne obrade i folijarne primene đubriva na visinu prinosa soje. Zimska osnovna obrada zemljišta smanjuje prinos soje u proseku za 4,07%, odnosno od 2,16% do 5,57% u različitim godinama, dok prolećna osnovna obrada smanjuje prinos za 11,20% (od 6,11% do 18,06%). Folijarna primena đubriva povećava prinos u proseku za 4,76%, a povećanje se kretalo od 1,27% pri jesenjoj osnovnoj obradi u 2020. godini do 8,40% pri prolećnoj osnovnoj obradi u 2019. godini.
AB  - High yields and stability of soybean production are directly affected by the amount and distribution of precipitation, available nutrients, and moment of agrotechnical measures application. This research aimed to examine the effect of primary tillage moment and foliar fertilization on soybean yield. Winter tillage reduced the soybean yield by 2.16% ̶5.57% in different years, 4.07% on average, while spring tillage reduced yield by 11.20% on average (6.11% ̶18.06%). Foliar fertilization increased yield by 4.76% on average, the increase ranged from 1.27% when autumn tillage was applied in 2020 to 8.40% when tillage was conducted in spring of 2019.
PB  - Smederevska Palanka : Institut za povrtarstvo
C3  - Zbornik radova, Biotehnologija i savremeni pristup u gajenju i oplemenjivanju bilja, Smederevska Palanka 3. novembar 2022.
T1  - Uticaj vremena osnovne obrade i folijarne prihrane na prinos soje
T1  - The effect of primary tillage time and foliar fertilization on soybean yield
EP  - 313
SP  - 305
UR  - https://hdl.handle.net/21.15107/rcub_fiver_3374
ER  - 

@conference{
author = "Bajagić, Marija and Đukić, Vojin and Mamlić, Zlatica and Dozet, Gordana and Cvijanović, Gorica and Miladinović, Jegor and Ranđelović, Predrag",
year = "2022",
abstract = "Visoki prinosi i stabilna proizvodnja soje pod direktnim su uticajem količine i rasporeda padavina, dostupnosti hraniva biljkama i pravovremenosti primene agrotehničkih mera. Cilj ovih istraživanja je ispitivanje uticaja vremena osnovne obrade i folijarne primene đubriva na visinu prinosa soje. Zimska osnovna obrada zemljišta smanjuje prinos soje u proseku za 4,07%, odnosno od 2,16% do 5,57% u različitim godinama, dok prolećna osnovna obrada smanjuje prinos za 11,20% (od 6,11% do 18,06%). Folijarna primena đubriva povećava prinos u proseku za 4,76%, a povećanje se kretalo od 1,27% pri jesenjoj osnovnoj obradi u 2020. godini do 8,40% pri prolećnoj osnovnoj obradi u 2019. godini., High yields and stability of soybean production are directly affected by the amount and distribution of precipitation, available nutrients, and moment of agrotechnical measures application. This research aimed to examine the effect of primary tillage moment and foliar fertilization on soybean yield. Winter tillage reduced the soybean yield by 2.16% ̶5.57% in different years, 4.07% on average, while spring tillage reduced yield by 11.20% on average (6.11% ̶18.06%). Foliar fertilization increased yield by 4.76% on average, the increase ranged from 1.27% when autumn tillage was applied in 2020 to 8.40% when tillage was conducted in spring of 2019.",
publisher = "Smederevska Palanka : Institut za povrtarstvo",
journal = "Zbornik radova, Biotehnologija i savremeni pristup u gajenju i oplemenjivanju bilja, Smederevska Palanka 3. novembar 2022.",
title = "Uticaj vremena osnovne obrade i folijarne prihrane na prinos soje, The effect of primary tillage time and foliar fertilization on soybean yield",
pages = "313-305",
url = "https://hdl.handle.net/21.15107/rcub_fiver_3374"
}

Bajagić, M., Đukić, V., Mamlić, Z., Dozet, G., Cvijanović, G., Miladinović, J.,& Ranđelović, P.. (2022). Uticaj vremena osnovne obrade i folijarne prihrane na prinos soje. in Zbornik radova, Biotehnologija i savremeni pristup u gajenju i oplemenjivanju bilja, Smederevska Palanka 3. novembar 2022.
Smederevska Palanka : Institut za povrtarstvo., 305-313.
https://hdl.handle.net/21.15107/rcub_fiver_3374

Bajagić M, Đukić V, Mamlić Z, Dozet G, Cvijanović G, Miladinović J, Ranđelović P. Uticaj vremena osnovne obrade i folijarne prihrane na prinos soje. in Zbornik radova, Biotehnologija i savremeni pristup u gajenju i oplemenjivanju bilja, Smederevska Palanka 3. novembar 2022.. 2022;:305-313.
https://hdl.handle.net/21.15107/rcub_fiver_3374 .

Bajagić, Marija, Đukić, Vojin, Mamlić, Zlatica, Dozet, Gordana, Cvijanović, Gorica, Miladinović, Jegor, Ranđelović, Predrag, "Uticaj vremena osnovne obrade i folijarne prihrane na prinos soje" in Zbornik radova, Biotehnologija i savremeni pristup u gajenju i oplemenjivanju bilja, Smederevska Palanka 3. novembar 2022. (2022):305-313,
https://hdl.handle.net/21.15107/rcub_fiver_3374 .