TY  - JOUR
AU  - Ćeran, Marina
AU  - Miladinović, Dragana
AU  - Đorđević, Vuk
AU  - Trkulja, Dragana
AU  - Radanović, Aleksandra
AU  - Glogovac, Svetlana
AU  - Kondić-Špika, Ankica
PY  - 2024
UR  - http://fiver.ifvcns.rs/handle/123456789/4477
AB  - Global agricultural productivity and food security are threatened by climate change, the growing world population, and the difficulties posed by the pandemic era. To overcome these challenges and meet food requirements, breeders have applied and implemented different advanced techniques that accelerate plant development and increase crop selection effectiveness. However, only two or three generations could be advanced annually using these approaches. Speed breeding (SB) is an innovative and promising technology to develop new varieties in a shorter time, utilizing the manipulation of controlled environmental conditions. This strategy can reduce the generation length from 2.5 to 5 times compared to traditional methods and accelerate generation advancement and crop improvement, accommodating multiple generations of crops per year. Beside long breeding cycles, SB can address other challenges related to traditional breeding, such as response to environmental conditions, disease and pest management, genetic uniformity, and improving resource efficiency. Combining genomic approaches such as marker-assisted selection, genomic selection, and genome editing with SB offers the capacity to further enhance breeding efficiency by reducing breeding cycle time, enabling early phenotypic assessment, efficient resource utilization, and increasing selection accuracy and genetic gain per year. Genomics-assisted SB holds the potential to revolutionize plant breeding by significantly accelerating the identification and selection of desirable genetic traits, expediting the development of improved crop varieties crucial for addressing global agricultural challenges.
PB  - Frontiers Media S.A.
T2  - Frontiers in Sustainable Food Systems
T1  - Genomics-assisted speed breeding for crop improvement: present and future
SP  - 1383302
VL  - 8
DO  - 10.3389/fsufs.2024.1383302
ER  - 

@article{
author = "Ćeran, Marina and Miladinović, Dragana and Đorđević, Vuk and Trkulja, Dragana and Radanović, Aleksandra and Glogovac, Svetlana and Kondić-Špika, Ankica",
year = "2024",
abstract = "Global agricultural productivity and food security are threatened by climate change, the growing world population, and the difficulties posed by the pandemic era. To overcome these challenges and meet food requirements, breeders have applied and implemented different advanced techniques that accelerate plant development and increase crop selection effectiveness. However, only two or three generations could be advanced annually using these approaches. Speed breeding (SB) is an innovative and promising technology to develop new varieties in a shorter time, utilizing the manipulation of controlled environmental conditions. This strategy can reduce the generation length from 2.5 to 5 times compared to traditional methods and accelerate generation advancement and crop improvement, accommodating multiple generations of crops per year. Beside long breeding cycles, SB can address other challenges related to traditional breeding, such as response to environmental conditions, disease and pest management, genetic uniformity, and improving resource efficiency. Combining genomic approaches such as marker-assisted selection, genomic selection, and genome editing with SB offers the capacity to further enhance breeding efficiency by reducing breeding cycle time, enabling early phenotypic assessment, efficient resource utilization, and increasing selection accuracy and genetic gain per year. Genomics-assisted SB holds the potential to revolutionize plant breeding by significantly accelerating the identification and selection of desirable genetic traits, expediting the development of improved crop varieties crucial for addressing global agricultural challenges.",
publisher = "Frontiers Media S.A.",
journal = "Frontiers in Sustainable Food Systems",
title = "Genomics-assisted speed breeding for crop improvement: present and future",
pages = "1383302",
volume = "8",
doi = "10.3389/fsufs.2024.1383302"
}

Ćeran, M., Miladinović, D., Đorđević, V., Trkulja, D., Radanović, A., Glogovac, S.,& Kondić-Špika, A.. (2024). Genomics-assisted speed breeding for crop improvement: present and future. in Frontiers in Sustainable Food Systems
Frontiers Media S.A.., 8, 1383302.
https://doi.org/10.3389/fsufs.2024.1383302

Ćeran M, Miladinović D, Đorđević V, Trkulja D, Radanović A, Glogovac S, Kondić-Špika A. Genomics-assisted speed breeding for crop improvement: present and future. in Frontiers in Sustainable Food Systems. 2024;8:1383302.
doi:10.3389/fsufs.2024.1383302 .

Ćeran, Marina, Miladinović, Dragana, Đorđević, Vuk, Trkulja, Dragana, Radanović, Aleksandra, Glogovac, Svetlana, Kondić-Špika, Ankica, "Genomics-assisted speed breeding for crop improvement: present and future" in Frontiers in Sustainable Food Systems, 8 (2024):1383302,
https://doi.org/10.3389/fsufs.2024.1383302 . .

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  - JOUR
AU  - Vasiljević, Marjana
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Miljaković, Dragana
AU  - Ćeran, Marina
AU  - Vojnov, Bojan
PY  - 2024
UR  - http://fiver.ifvcns.rs/handle/123456789/4476
AB  - The most common mechanical damage to soybean in the agroecological conditions of Serbia occurs after the appearance of hail, floods or due to damage from wild animals and insects. In recent years, extreme temperatures accompanied by drought have been increasingly recorded during the summer months, as well as the appearance of hail, which has become frequent during the growing season of spring crops. The aim of this work was to determine the consequences and the extent of yield reduction if hail occurs in the generative stages of soybean development. The occurrence of hail in the R1 (beginning bloom) and R3 (beginning pod) stages of development in the form of plant damage was simulated. This paper will present the results of how three soybean varieties reacted after simulated hail damage in two stages of generative development and what the effects were on yield, height, number of fertile nodes, as well as percentage of plant regeneration. The trial was set up in 2020 as a two-factorial experiment in three replications. Three soybean varieties were sown in late April. In order to simulate hail damage, the plants were cut to a height of 15 cm to ensure at least two nodes and enable the regeneration of the plants. The stage of development of soybean, i.e. the moment of hail damage, had a direct impact on the yield, the number of regenerated plants, as well as the number of fertile nodes.
AB  - Najčešća mehanička oštećenja na biljkama soje u agroekološkim uslovima Srbije nastaju nakon pojave grada, poplava ili zbog oštećenja od divljači i insekata. Poslednjih godina sve više su zabeležene ekstremne temperature praćene sušom u toku letnjih meseci, kao i pojava grada koja je postala česta u toku vegetacionog perioda jarih kultura. Cilj ovoga rada je da se utvrdi kakve su posledice i kolika mogu biti smanjenja prinosa ukoliko dođe do pojave grada u generativnim fazama razvoja soje, te je simulirana pojava grada u R1 (početak cvetanja) i R3 (početak stvaranja mahuna) fazi razvoja u vidu oštećenja biljaka. U ovom radu će biti prikazani rezultati kako su reagovale tri sorte soje nakon simuliranog oštećenja od grada u dve faze generativnog razvoja i kakav je uticaj na prinos, visinu, broj fertilnih nodija, kao i na procenat regeneracije biljaka. Ogled je postavljen 2020. godine kao dvofaktorijalni eksperiment u tri ponavljanja. Tri sorte soje su posejane u poslednjoj dekadi aprila. Za simulaciju oštećenja od grada, biljke su posečene na visinu od 15 cm, kako bi se obezbedila najmanje dva nodusa i omogućila regeneracija biljaka. Faza razvoja soje, odnosno momenat oštećenja od grada, ima direktan uticaj na prinos, broj regenerisanih biljaka, kao i broj fertilnih nodusa.
PB  - Novi Sad : Institute of Field and Vegetable Crops
T2  - Ratarstvo i povrtarstvo
T1  - Simulation of the hail damage on regeneration and yield of soybean (Glycine max (L.) Merr.)
T1  - Simulacija oštećenja od grada na regeneraciju i prinos soje (Glycine max (L.) Merr.)
EP  - 15
IS  - 1
SP  - 9
VL  - 61
DO  - 10.5937/ratpov61-48055
ER  - 

@article{
author = "Vasiljević, Marjana and Đorđević, Vuk and Miladinović, Jegor and Miljaković, Dragana and Ćeran, Marina and Vojnov, Bojan",
year = "2024",
abstract = "The most common mechanical damage to soybean in the agroecological conditions of Serbia occurs after the appearance of hail, floods or due to damage from wild animals and insects. In recent years, extreme temperatures accompanied by drought have been increasingly recorded during the summer months, as well as the appearance of hail, which has become frequent during the growing season of spring crops. The aim of this work was to determine the consequences and the extent of yield reduction if hail occurs in the generative stages of soybean development. The occurrence of hail in the R1 (beginning bloom) and R3 (beginning pod) stages of development in the form of plant damage was simulated. This paper will present the results of how three soybean varieties reacted after simulated hail damage in two stages of generative development and what the effects were on yield, height, number of fertile nodes, as well as percentage of plant regeneration. The trial was set up in 2020 as a two-factorial experiment in three replications. Three soybean varieties were sown in late April. In order to simulate hail damage, the plants were cut to a height of 15 cm to ensure at least two nodes and enable the regeneration of the plants. The stage of development of soybean, i.e. the moment of hail damage, had a direct impact on the yield, the number of regenerated plants, as well as the number of fertile nodes., Najčešća mehanička oštećenja na biljkama soje u agroekološkim uslovima Srbije nastaju nakon pojave grada, poplava ili zbog oštećenja od divljači i insekata. Poslednjih godina sve više su zabeležene ekstremne temperature praćene sušom u toku letnjih meseci, kao i pojava grada koja je postala česta u toku vegetacionog perioda jarih kultura. Cilj ovoga rada je da se utvrdi kakve su posledice i kolika mogu biti smanjenja prinosa ukoliko dođe do pojave grada u generativnim fazama razvoja soje, te je simulirana pojava grada u R1 (početak cvetanja) i R3 (početak stvaranja mahuna) fazi razvoja u vidu oštećenja biljaka. U ovom radu će biti prikazani rezultati kako su reagovale tri sorte soje nakon simuliranog oštećenja od grada u dve faze generativnog razvoja i kakav je uticaj na prinos, visinu, broj fertilnih nodija, kao i na procenat regeneracije biljaka. Ogled je postavljen 2020. godine kao dvofaktorijalni eksperiment u tri ponavljanja. Tri sorte soje su posejane u poslednjoj dekadi aprila. Za simulaciju oštećenja od grada, biljke su posečene na visinu od 15 cm, kako bi se obezbedila najmanje dva nodusa i omogućila regeneracija biljaka. Faza razvoja soje, odnosno momenat oštećenja od grada, ima direktan uticaj na prinos, broj regenerisanih biljaka, kao i broj fertilnih nodusa.",
publisher = "Novi Sad : Institute of Field and Vegetable Crops",
journal = "Ratarstvo i povrtarstvo",
title = "Simulation of the hail damage on regeneration and yield of soybean (Glycine max (L.) Merr.), Simulacija oštećenja od grada na regeneraciju i prinos soje (Glycine max (L.) Merr.)",
pages = "15-9",
number = "1",
volume = "61",
doi = "10.5937/ratpov61-48055"
}

Vasiljević, M., Đorđević, V., Miladinović, J., Miljaković, D., Ćeran, M.,& Vojnov, B.. (2024). Simulation of the hail damage on regeneration and yield of soybean (Glycine max (L.) Merr.). in Ratarstvo i povrtarstvo
Novi Sad : Institute of Field and Vegetable Crops., 61(1), 9-15.
https://doi.org/10.5937/ratpov61-48055

Vasiljević M, Đorđević V, Miladinović J, Miljaković D, Ćeran M, Vojnov B. Simulation of the hail damage on regeneration and yield of soybean (Glycine max (L.) Merr.). in Ratarstvo i povrtarstvo. 2024;61(1):9-15.
doi:10.5937/ratpov61-48055 .

Vasiljević, Marjana, Đorđević, Vuk, Miladinović, Jegor, Miljaković, Dragana, Ćeran, Marina, Vojnov, Bojan, "Simulation of the hail damage on regeneration and yield of soybean (Glycine max (L.) Merr.)" in Ratarstvo i povrtarstvo, 61, no. 1 (2024):9-15,
https://doi.org/10.5937/ratpov61-48055 . .

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  - PAT
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Ćeran, Marina
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3637
AB  - Ovo je novostvorena sorta soje (Glycine max (L.) Merrill) NS Sedef priznata od strane Uprave za zaštitu bilja Ministarstva poljoprivrede, šumarstva i vodoprivrede Republike Srbije.
AB  - This is registered newly-developed cultivar of soybean (Glycine max (L.) Merrill) NS Sedef released by the Plant Protection Directorate of the Ministry of Agriculture, Forestry and Water Management of the Republic of Serbia.
T1  - NS Sedef, sorta soje
UR  - https://hdl.handle.net/21.15107/rcub_fiver_3637
ER  - 

@misc{
author = "Đorđević, Vuk and Miladinović, Jegor and Ćeran, Marina",
year = "2023",
abstract = "Ovo je novostvorena sorta soje (Glycine max (L.) Merrill) NS Sedef priznata od strane Uprave za zaštitu bilja Ministarstva poljoprivrede, šumarstva i vodoprivrede Republike Srbije., This is registered newly-developed cultivar of soybean (Glycine max (L.) Merrill) NS Sedef released by the Plant Protection Directorate of the Ministry of Agriculture, Forestry and Water Management of the Republic of Serbia.",
title = "NS Sedef, sorta soje",
url = "https://hdl.handle.net/21.15107/rcub_fiver_3637"
}

Đorđević, V., Miladinović, J.,& Ćeran, M.. (2023). NS Sedef, sorta soje. .
https://hdl.handle.net/21.15107/rcub_fiver_3637

Đorđević V, Miladinović J, Ćeran M. NS Sedef, sorta soje. 2023;.
https://hdl.handle.net/21.15107/rcub_fiver_3637 .

Đorđević, Vuk, Miladinović, Jegor, Ćeran, Marina, "NS Sedef, sorta soje" (2023),
https://hdl.handle.net/21.15107/rcub_fiver_3637 .

TY  - PAT
AU  - Miladinović, Jegor
AU  - Đorđević, Vuk
AU  - Ćeran, Marina
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3639
AB  - Ovo je novostvorena sorta soje (Glycine max (L.) Merrill) NS Ozymandis priznata od strane Uprave za zaštitu bilja Ministarstva poljoprivrede, šumarstva i vodoprivrede Republike Srbije.
AB  - This is registered newly-developed cultivar of soybean (Glycine max (L.) Merrill) NS Ozymandis released by the Plant Protection Directorate of the Ministry of Agriculture, Forestry and Water Management of the Republic of Serbia.
T1  - NS Ozymandis, sorta soje
UR  - https://hdl.handle.net/21.15107/rcub_fiver_3639
ER  - 

@misc{
author = "Miladinović, Jegor and Đorđević, Vuk and Ćeran, Marina",
year = "2023",
abstract = "Ovo je novostvorena sorta soje (Glycine max (L.) Merrill) NS Ozymandis priznata od strane Uprave za zaštitu bilja Ministarstva poljoprivrede, šumarstva i vodoprivrede Republike Srbije., This is registered newly-developed cultivar of soybean (Glycine max (L.) Merrill) NS Ozymandis released by the Plant Protection Directorate of the Ministry of Agriculture, Forestry and Water Management of the Republic of Serbia.",
title = "NS Ozymandis, sorta soje",
url = "https://hdl.handle.net/21.15107/rcub_fiver_3639"
}

Miladinović, J., Đorđević, V.,& Ćeran, M.. (2023). NS Ozymandis, sorta soje. .
https://hdl.handle.net/21.15107/rcub_fiver_3639

Miladinović J, Đorđević V, Ćeran M. NS Ozymandis, sorta soje. 2023;.
https://hdl.handle.net/21.15107/rcub_fiver_3639 .

Miladinović, Jegor, Đorđević, Vuk, Ćeran, Marina, "NS Ozymandis, sorta soje" (2023),
https://hdl.handle.net/21.15107/rcub_fiver_3639 .

TY  - PAT
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Ćeran, Marina
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3642
AB  - Ovo je novostvorena sorta soje (Glycine max (L.) Merrill) NS Regulus priznata od strane Uprave za zaštitu bilja Ministarstva poljoprivrede, šumarstva i vodoprivrede Republike Srbije.
AB  - This is registered newly-developed cultivar of soybean (Glycine max (L.) Merrill) NS Regulus released by the Plant Protection Directorate of the Ministry of Agriculture, Forestry and Water Management of the Republic of Serbia.
T1  - NS Regulus, sorta soje
UR  - https://hdl.handle.net/21.15107/rcub_fiver_3642
ER  - 

@misc{
author = "Đorđević, Vuk and Miladinović, Jegor and Ćeran, Marina",
year = "2023",
abstract = "Ovo je novostvorena sorta soje (Glycine max (L.) Merrill) NS Regulus priznata od strane Uprave za zaštitu bilja Ministarstva poljoprivrede, šumarstva i vodoprivrede Republike Srbije., This is registered newly-developed cultivar of soybean (Glycine max (L.) Merrill) NS Regulus released by the Plant Protection Directorate of the Ministry of Agriculture, Forestry and Water Management of the Republic of Serbia.",
title = "NS Regulus, sorta soje",
url = "https://hdl.handle.net/21.15107/rcub_fiver_3642"
}

Đorđević, V., Miladinović, J.,& Ćeran, M.. (2023). NS Regulus, sorta soje. .
https://hdl.handle.net/21.15107/rcub_fiver_3642

Đorđević V, Miladinović J, Ćeran M. NS Regulus, sorta soje. 2023;.
https://hdl.handle.net/21.15107/rcub_fiver_3642 .

Đorđević, Vuk, Miladinović, Jegor, Ćeran, Marina, "NS Regulus, sorta soje" (2023),
https://hdl.handle.net/21.15107/rcub_fiver_3642 .

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

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

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

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

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

TY  - CONF
AU  - Uhlarik, Ana
AU  - Ćeran, Marina
AU  - Krstić, Đorđe
AU  - Mamlić, Zlatica
AU  - Katanski, Snežana
AU  - Vasiljević, Sanja
AU  - Dolapčev-Rakić, Anja
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3758
AB  - Protein pea (Pisum sativum L.) is a protein-rich legume (up to 33% of seed protein). Using pea in the human and animal diet provides one of the best solutions for the long-term lack of plant-based protein. Although soybean is one of the primary plant protein sources, the advantage of growing pea is their wider geographical area and colder climates adaptability. 
The objective of this study was to determine the impact of different agroecological conditions in 64 protein pea cultivars on seed protein content and agronomical traits related to seed yield. A two-year trial on two European sites (Serbia and Belgium) was done using an augmented block design. The average temperatures and total precipitation amount during the vegetative period (March-August) in Serbia trials were 18.4 °C and 381.4 mm for 2019 and 18.1°C and 488.9 mm for 2020, and in Belgium trials 14.9 °C and 268.9 mm for 2019 and 14.7°C and 184.6 mm for 2020. Agronomical traits (flowering duration FD, plant seed yield PSY, thousand seed weight TSW, and seed per pod SPP) were determined using ten plant samples, while seed protein content (SPC) was determined using near-infrared spectroscopy (Table 1). Statistically significant differences between localities were determined by T-test, and Pearson's correlation coefficients were determined between traits. Multivariate analysis was performed based on the examination of mean values of traits for both localities, in order to investigate the population structure of 64 pea genotypes differing in color and seed type. Significant positive correlation was observed between TSW and PSY (0.60), and between SPP and SPC (0.25). A significant negative correlation was determined between SPC and TSW (-0.66) and between SPC and PSY (-0.41). The results of multivariate analysis based on seed color show the separation of pigmented seeds from mixed non-pigmented seeds by the first axis (35.9%) and yellow non-pigmented seeds by the second axis (17.9%), with no clear grouping in relation to seed type (smooth, wrinkled, dimpled).
The similar values of the main agronomic traits that affect the yield confirm the great ability of protein pea to adapt to different agroecological conditions.
PB  - Olomouc:Palacký University Olomouc
C3  - Abstracts of the 35th Meeting of the EUCARPIA Fodder Crops and Amenity Grasses Section in cooperation with the EUCARPIA Festulolium Working Group, 10-14 September 2023, Brno
T1  - Agronomical traits, seed color and protein content of protein pea (Pisum sativum L.) cultivars grown in European conditions
EP  - 26
SP  - 25
DO  - 10.5507/vup.23.24463414
ER  - 

@conference{
author = "Uhlarik, Ana and Ćeran, Marina and Krstić, Đorđe and Mamlić, Zlatica and Katanski, Snežana and Vasiljević, Sanja and Dolapčev-Rakić, Anja",
year = "2023",
abstract = "Protein pea (Pisum sativum L.) is a protein-rich legume (up to 33% of seed protein). Using pea in the human and animal diet provides one of the best solutions for the long-term lack of plant-based protein. Although soybean is one of the primary plant protein sources, the advantage of growing pea is their wider geographical area and colder climates adaptability. 
The objective of this study was to determine the impact of different agroecological conditions in 64 protein pea cultivars on seed protein content and agronomical traits related to seed yield. A two-year trial on two European sites (Serbia and Belgium) was done using an augmented block design. The average temperatures and total precipitation amount during the vegetative period (March-August) in Serbia trials were 18.4 °C and 381.4 mm for 2019 and 18.1°C and 488.9 mm for 2020, and in Belgium trials 14.9 °C and 268.9 mm for 2019 and 14.7°C and 184.6 mm for 2020. Agronomical traits (flowering duration FD, plant seed yield PSY, thousand seed weight TSW, and seed per pod SPP) were determined using ten plant samples, while seed protein content (SPC) was determined using near-infrared spectroscopy (Table 1). Statistically significant differences between localities were determined by T-test, and Pearson's correlation coefficients were determined between traits. Multivariate analysis was performed based on the examination of mean values of traits for both localities, in order to investigate the population structure of 64 pea genotypes differing in color and seed type. Significant positive correlation was observed between TSW and PSY (0.60), and between SPP and SPC (0.25). A significant negative correlation was determined between SPC and TSW (-0.66) and between SPC and PSY (-0.41). The results of multivariate analysis based on seed color show the separation of pigmented seeds from mixed non-pigmented seeds by the first axis (35.9%) and yellow non-pigmented seeds by the second axis (17.9%), with no clear grouping in relation to seed type (smooth, wrinkled, dimpled).
The similar values of the main agronomic traits that affect the yield confirm the great ability of protein pea to adapt to different agroecological conditions.",
publisher = "Olomouc:Palacký University Olomouc",
journal = "Abstracts of the 35th Meeting of the EUCARPIA Fodder Crops and Amenity Grasses Section in cooperation with the EUCARPIA Festulolium Working Group, 10-14 September 2023, Brno",
title = "Agronomical traits, seed color and protein content of protein pea (Pisum sativum L.) cultivars grown in European conditions",
pages = "26-25",
doi = "10.5507/vup.23.24463414"
}

Uhlarik, A., Ćeran, M., Krstić, Đ., Mamlić, Z., Katanski, S., Vasiljević, S.,& Dolapčev-Rakić, A.. (2023). Agronomical traits, seed color and protein content of protein pea (Pisum sativum L.) cultivars grown in European conditions. in Abstracts of the 35th Meeting of the EUCARPIA Fodder Crops and Amenity Grasses Section in cooperation with the EUCARPIA Festulolium Working Group, 10-14 September 2023, Brno
Olomouc:Palacký University Olomouc., 25-26.
https://doi.org/10.5507/vup.23.24463414

Uhlarik A, Ćeran M, Krstić Đ, Mamlić Z, Katanski S, Vasiljević S, Dolapčev-Rakić A. Agronomical traits, seed color and protein content of protein pea (Pisum sativum L.) cultivars grown in European conditions. in Abstracts of the 35th Meeting of the EUCARPIA Fodder Crops and Amenity Grasses Section in cooperation with the EUCARPIA Festulolium Working Group, 10-14 September 2023, Brno. 2023;:25-26.
doi:10.5507/vup.23.24463414 .

Uhlarik, Ana, Ćeran, Marina, Krstić, Đorđe, Mamlić, Zlatica, Katanski, Snežana, Vasiljević, Sanja, Dolapčev-Rakić, Anja, "Agronomical traits, seed color and protein content of protein pea (Pisum sativum L.) cultivars grown in European conditions" in Abstracts of the 35th Meeting of the EUCARPIA Fodder Crops and Amenity Grasses Section in cooperation with the EUCARPIA Festulolium Working Group, 10-14 September 2023, Brno (2023):25-26,
https://doi.org/10.5507/vup.23.24463414 . .

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  - CONF
AU  - Vasiljević, Marjana
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Ćeran, Marina
AU  - Marinković, Jelena
AU  - Jaćimović, Simona
AU  - Miljaković, Dragana
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/4009
AB  - Žetva soje se obavlja pri nastupanju tehnološke zrelosti, a vlažnost u zrnu dostigne oko 13%. Različiti faktori mogu uticati da se žetva ne obavi u optimalnom roku, te se u praksi događa da se žetva obavlja i pri nižoj vlažnosti zrna od optimalne. U slučaju žetve sa nižom vlažnosti u zrnu (ispod 11%) dolazi do oštećenja semena, a ono je lošijeg kvaliteta. U kojoj meri zakasnela žetva utiče na prinos i kvalitet soje prikazan je u jednogodišnjem ogledu. Ogled je postavljen na lokalitetu Rimski šančevi sa tri sorte soje (NS Atlas (0 GZ), NS Apolo (I GZ) i Rubin (II GZ)), u tri ponavljanja. Žetva je obavljena kada je postignuto 13% vlažnosti zrna, a nakon toga je žetva pomerana za sedam, pa za četrnaest dana. Vlažnost semena nakon sedmog dana od optimalne vlažnosti je bila u rasponu od 8,5 do 10%, a nakon četrnaestog dana je bila ispod 8,5%.
AB  - Soybean is ready for harvesting when plants reach full maturity and the grain moisture is 13%. Various factors can influence harvest delay, and that the harvest is done at a lower than optimal grain moisture. Harvesting with lower moisture content (below 11%), cause seed damages and the seed has significantly poorer quality. The extent to which a delayed harvest affects the yield and quality was shown in a one-year experiment. The trial was set up at the Rimski šančevi site with three soybean varieties (NS Atlas (0 MG), NS Apolo (I MG) and Rubin (II MG)) in three replications. Harvest start at optimal seed moisture (13%) and after that, harvest was delayed for 7 and 14 days. After the seventh day the moisture was in the range of 8.5 to 10%, and after the fourteenth day was up to 8.5%.
PB  - Beograd : Društvo genetičara Srbije
PB  - Beograd : Društvo selekcionera i semenara Republike 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  - U kojoj meri zakasnela žetva utiče na kvalitet semena soje?
T1  - Is the quality of soybean seed affected by delay in harvest?
EP  - 224
SP  - 223
UR  - https://hdl.handle.net/21.15107/rcub_fiver_4009
ER  - 

@conference{
author = "Vasiljević, Marjana and Đorđević, Vuk and Miladinović, Jegor and Ćeran, Marina and Marinković, Jelena and Jaćimović, Simona and Miljaković, Dragana",
year = "2023",
abstract = "Žetva soje se obavlja pri nastupanju tehnološke zrelosti, a vlažnost u zrnu dostigne oko 13%. Različiti faktori mogu uticati da se žetva ne obavi u optimalnom roku, te se u praksi događa da se žetva obavlja i pri nižoj vlažnosti zrna od optimalne. U slučaju žetve sa nižom vlažnosti u zrnu (ispod 11%) dolazi do oštećenja semena, a ono je lošijeg kvaliteta. U kojoj meri zakasnela žetva utiče na prinos i kvalitet soje prikazan je u jednogodišnjem ogledu. Ogled je postavljen na lokalitetu Rimski šančevi sa tri sorte soje (NS Atlas (0 GZ), NS Apolo (I GZ) i Rubin (II GZ)), u tri ponavljanja. Žetva je obavljena kada je postignuto 13% vlažnosti zrna, a nakon toga je žetva pomerana za sedam, pa za četrnaest dana. Vlažnost semena nakon sedmog dana od optimalne vlažnosti je bila u rasponu od 8,5 do 10%, a nakon četrnaestog dana je bila ispod 8,5%., Soybean is ready for harvesting when plants reach full maturity and the grain moisture is 13%. Various factors can influence harvest delay, and that the harvest is done at a lower than optimal grain moisture. Harvesting with lower moisture content (below 11%), cause seed damages and the seed has significantly poorer quality. The extent to which a delayed harvest affects the yield and quality was shown in a one-year experiment. The trial was set up at the Rimski šančevi site with three soybean varieties (NS Atlas (0 MG), NS Apolo (I MG) and Rubin (II MG)) in three replications. Harvest start at optimal seed moisture (13%) and after that, harvest was delayed for 7 and 14 days. After the seventh day the moisture was in the range of 8.5 to 10%, and after the fourteenth day was up to 8.5%.",
publisher = "Beograd : Društvo genetičara Srbije, Beograd : Društvo selekcionera i semenara Republike 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 = "U kojoj meri zakasnela žetva utiče na kvalitet semena soje?, Is the quality of soybean seed affected by delay in harvest?",
pages = "224-223",
url = "https://hdl.handle.net/21.15107/rcub_fiver_4009"
}

Vasiljević, M., Đorđević, V., Miladinović, J., Ćeran, M., Marinković, J., Jaćimović, S.,& Miljaković, D.. (2023). U kojoj meri zakasnela žetva utiče na kvalitet semena soje?. 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., 223-224.
https://hdl.handle.net/21.15107/rcub_fiver_4009

Vasiljević M, Đorđević V, Miladinović J, Ćeran M, Marinković J, Jaćimović S, Miljaković D. U kojoj meri zakasnela žetva utiče na kvalitet semena soje?. 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;:223-224.
https://hdl.handle.net/21.15107/rcub_fiver_4009 .

Vasiljević, Marjana, Đorđević, Vuk, Miladinović, Jegor, Ćeran, Marina, Marinković, Jelena, Jaćimović, Simona, Miljaković, Dragana, "U kojoj meri zakasnela žetva utiče na kvalitet semena soje?" 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):223-224,
https://hdl.handle.net/21.15107/rcub_fiver_4009 .

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  - JOUR
AU  - Mamlić, Zlatica
AU  - Dozet, Gordana
AU  - Đukić, Vojin
AU  - Miladinović, Jegor
AU  - Ćeran, Marina
AU  - Đurić, Nenad
AU  - Uhlarik, Ana
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/4164
AB  - Kvalitetna i pravovremena osnovna obrada zemljišta uz dobru obezbeđenost hranivima je uslov za normalan razvoj biljaka soje i ostvarenje visokih prinosa. Jesenja osnovna obrada doprinosi ostvarenju visokih prinosa soje, dok se kasnijom obradom prinos smanjuje. NPK đubriva, amonijum nitrat i folijarna primena vodenog ekstrakta od ploda banane povećava prinos soje, prinos proteina i ulja, a najbolji efekat ostvaren je upotrebom NPK đubriva.
AB  - Quality and timely primary soil tillage along with good nutrient suply is a requirement for normal soybean plant development and high yield realization. Autumnal primary tillage contributes to the achievement of high soybean yields, while later cultivation decreases the yield. NPK fertilizers, ammonium nitrate and foliar aqueous banana fruit extract application increases soybean yield, protein and oil yield, and the best effect is achieved by applying NPK fertilizer.
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  - Uzajamni odnos đubrenja i vremena obrade na prinos i kvalitet zrna soje
T1  - Mutual relationship of fertilization and the time of basic processing on the yield and quality of soybean grain
EP  - 70
IS  - 1
SP  - 63
VL  - 54
UR  - https://hdl.handle.net/21.15107/rcub_fiver_4164
ER  - 

@article{
author = "Mamlić, Zlatica and Dozet, Gordana and Đukić, Vojin and Miladinović, Jegor and Ćeran, Marina and Đurić, Nenad and Uhlarik, Ana",
year = "2023",
abstract = "Kvalitetna i pravovremena osnovna obrada zemljišta uz dobru obezbeđenost hranivima je uslov za normalan razvoj biljaka soje i ostvarenje visokih prinosa. Jesenja osnovna obrada doprinosi ostvarenju visokih prinosa soje, dok se kasnijom obradom prinos smanjuje. NPK đubriva, amonijum nitrat i folijarna primena vodenog ekstrakta od ploda banane povećava prinos soje, prinos proteina i ulja, a najbolji efekat ostvaren je upotrebom NPK đubriva., Quality and timely primary soil tillage along with good nutrient suply is a requirement for normal soybean plant development and high yield realization. Autumnal primary tillage contributes to the achievement of high soybean yields, while later cultivation decreases the yield. NPK fertilizers, ammonium nitrate and foliar aqueous banana fruit extract application increases soybean yield, protein and oil yield, and the best effect is achieved by applying NPK fertilizer.",
publisher = "Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet, Novi Sad : Institut za ratarstvo i povrtarstvo, Novi Sad : Industrijsko bilje",
journal = "Uljarstvo",
title = "Uzajamni odnos đubrenja i vremena obrade na prinos i kvalitet zrna soje, Mutual relationship of fertilization and the time of basic processing on the yield and quality of soybean grain",
pages = "70-63",
number = "1",
volume = "54",
url = "https://hdl.handle.net/21.15107/rcub_fiver_4164"
}

Mamlić, Z., Dozet, G., Đukić, V., Miladinović, J., Ćeran, M., Đurić, N.,& Uhlarik, A.. (2023). Uzajamni odnos đubrenja i vremena obrade na prinos i kvalitet zrna soje. in Uljarstvo
Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet., 54(1), 63-70.
https://hdl.handle.net/21.15107/rcub_fiver_4164

Mamlić Z, Dozet G, Đukić V, Miladinović J, Ćeran M, Đurić N, Uhlarik A. Uzajamni odnos đubrenja i vremena obrade na prinos i kvalitet zrna soje. in Uljarstvo. 2023;54(1):63-70.
https://hdl.handle.net/21.15107/rcub_fiver_4164 .

Mamlić, Zlatica, Dozet, Gordana, Đukić, Vojin, Miladinović, Jegor, Ćeran, Marina, Đurić, Nenad, Uhlarik, Ana, "Uzajamni odnos đubrenja i vremena obrade na prinos i kvalitet zrna soje" in Uljarstvo, 54, no. 1 (2023):63-70,
https://hdl.handle.net/21.15107/rcub_fiver_4164 .

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  - PAT
AU  - Miladinović, Jegor
AU  - Đorđević, Vuk
AU  - Đukić, Vojin
AU  - Ćeran, Marina
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/4294
AB  - Ovo je sorta soje NS Deneris priznata od strane komisije za priznavanje sorti Rumunije.
T1  - NS Deneris, sorta soje (Rumunija)
UR  - https://hdl.handle.net/21.15107/rcub_fiver_4294
ER  - 

@misc{
author = "Miladinović, Jegor and Đorđević, Vuk and Đukić, Vojin and Ćeran, Marina",
year = "2023",
abstract = "Ovo je sorta soje NS Deneris priznata od strane komisije za priznavanje sorti Rumunije.",
title = "NS Deneris, sorta soje (Rumunija)",
url = "https://hdl.handle.net/21.15107/rcub_fiver_4294"
}

Miladinović, J., Đorđević, V., Đukić, V.,& Ćeran, M.. (2023). NS Deneris, sorta soje (Rumunija). .
https://hdl.handle.net/21.15107/rcub_fiver_4294

Miladinović J, Đorđević V, Đukić V, Ćeran M. NS Deneris, sorta soje (Rumunija). 2023;.
https://hdl.handle.net/21.15107/rcub_fiver_4294 .

Miladinović, Jegor, Đorđević, Vuk, Đukić, Vojin, Ćeran, Marina, "NS Deneris, sorta soje (Rumunija)" (2023),
https://hdl.handle.net/21.15107/rcub_fiver_4294 .

TY  - PAT
AU  - Đorđević, Vuk
AU  - Miladinović, Jegor
AU  - Ćeran, Marina
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/4297
AB  - Ovo je sorta soje NS Ramonda priznata od strane Komisije za priznavanje sorti Rumunije.
T1  - NS Ramonda, sorta soje (Rumunija)
UR  - https://hdl.handle.net/21.15107/rcub_fiver_4297
ER  - 

@misc{
author = "Đorđević, Vuk and Miladinović, Jegor and Ćeran, Marina",
year = "2023",
abstract = "Ovo je sorta soje NS Ramonda priznata od strane Komisije za priznavanje sorti Rumunije.",
title = "NS Ramonda, sorta soje (Rumunija)",
url = "https://hdl.handle.net/21.15107/rcub_fiver_4297"
}

Đorđević, V., Miladinović, J.,& Ćeran, M.. (2023). NS Ramonda, sorta soje (Rumunija). .
https://hdl.handle.net/21.15107/rcub_fiver_4297

Đorđević V, Miladinović J, Ćeran M. NS Ramonda, sorta soje (Rumunija). 2023;.
https://hdl.handle.net/21.15107/rcub_fiver_4297 .

Đorđević, Vuk, Miladinović, Jegor, Ćeran, Marina, "NS Ramonda, sorta soje (Rumunija)" (2023),
https://hdl.handle.net/21.15107/rcub_fiver_4297 .

TY  - PAT
AU  - Miladinović, Jegor
AU  - Đorđević, Vuk
AU  - Đukić, Vojin
AU  - Ćeran, Marina
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/4299
AB  - Ovo je sorta soje NS Validus priznata od strane Komisije za priznavanje sorti Rumunije.
T1  - NS Validus, sorta soje (Rumunija)
UR  - https://hdl.handle.net/21.15107/rcub_fiver_4299
ER  - 

@misc{
author = "Miladinović, Jegor and Đorđević, Vuk and Đukić, Vojin and Ćeran, Marina",
year = "2023",
abstract = "Ovo je sorta soje NS Validus priznata od strane Komisije za priznavanje sorti Rumunije.",
title = "NS Validus, sorta soje (Rumunija)",
url = "https://hdl.handle.net/21.15107/rcub_fiver_4299"
}

Miladinović, J., Đorđević, V., Đukić, V.,& Ćeran, M.. (2023). NS Validus, sorta soje (Rumunija). .
https://hdl.handle.net/21.15107/rcub_fiver_4299

Miladinović J, Đorđević V, Đukić V, Ćeran M. NS Validus, sorta soje (Rumunija). 2023;.
https://hdl.handle.net/21.15107/rcub_fiver_4299 .

Miladinović, Jegor, Đorđević, Vuk, Đukić, Vojin, Ćeran, Marina, "NS Validus, sorta soje (Rumunija)" (2023),
https://hdl.handle.net/21.15107/rcub_fiver_4299 .