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  - CONF
AU  - Đukić, Vojin
AU  - Miladinović, Jegor
AU  - Stojanović, Danijela
AU  - Đorđević, Vuk
AU  - Latković, Dragana
AU  - Ranđelović, Predrag
AU  - Mamlić, Zlatica
PY  - 2024
UR  - http://fiver.ifvcns.rs/handle/123456789/4699
AB  - U Odeljenju za soju, Instituta za ratarstvo i povrtarstvo iz Novog Sada do sada je registrovano 179 NS sorti soje, različitih grupa zrenja. Cilj ovog rada je sagledavanje prinosa, sadržaja proteina i ulja, kao i prinosa proteina i ulja po jedinici površine, najnovijih NS sorti soje priznatih u 2024 godini. U dvogodišnjim ogledima Ministarstva poljoprivrede, šumarstva i vodoprivrede, na pet lokaliteta, najviši prinos imala je sorta Granit (3.085 kgaha-1). Najviši sardžaj proteina imala je sorta NS Merkur (43,35%). Dok je najviši saržaj ulja zabeležen kod sorte Astra (21,20).
AB  - The Department of soybean, Institute of Field and Vegetable Crops in Novi Sad has so far registered 179 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 2024. In the two-year trials of the Ministry of Agriculture and Environmental Protection, at five locations, the highest yield had late soybean Granit (3.085 kgha-1). The highest protein content was early variety NS Merkur (43.35%), while the highest oil content was recorded in variety Astra (21.20).
PB  - Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet
PB  - Novi Sad : Institut za ratarstvo i povrtarstvo
PB  - Novi Sad : Industrijsko bilje
C3  - Zbornik radova, 65. Savetovanje industrije ulja Proizvodnja i prerada uljarica, Herceg Novi, 23-28. jun 2024.
T1  - Kvalitet novopriznatih NS sorti soje u 2024. godini
T1  - Quality newly released NS varieties soybean in 2024
EP  - 49
SP  - 42
UR  - https://hdl.handle.net/21.15107/rcub_fiver_4699
ER  - 

@conference{
author = "Đukić, Vojin and Miladinović, Jegor and Stojanović, Danijela and Đorđević, Vuk and Latković, Dragana and Ranđelović, Predrag and Mamlić, Zlatica",
year = "2024",
abstract = "U Odeljenju za soju, Instituta za ratarstvo i povrtarstvo iz Novog Sada do sada je registrovano 179 NS sorti soje, različitih grupa zrenja. Cilj ovog rada je sagledavanje prinosa, sadržaja proteina i ulja, kao i prinosa proteina i ulja po jedinici površine, najnovijih NS sorti soje priznatih u 2024 godini. U dvogodišnjim ogledima Ministarstva poljoprivrede, šumarstva i vodoprivrede, na pet lokaliteta, najviši prinos imala je sorta Granit (3.085 kgaha-1). Najviši sardžaj proteina imala je sorta NS Merkur (43,35%). Dok je najviši saržaj ulja zabeležen kod sorte Astra (21,20)., The Department of soybean, Institute of Field and Vegetable Crops in Novi Sad has so far registered 179 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 2024. In the two-year trials of the Ministry of Agriculture and Environmental Protection, at five locations, the highest yield had late soybean Granit (3.085 kgha-1). The highest protein content was early variety NS Merkur (43.35%), while the highest oil content was recorded in variety Astra (21.20).",
publisher = "Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet, Novi Sad : Institut za ratarstvo i povrtarstvo, Novi Sad : Industrijsko bilje",
journal = "Zbornik radova, 65. Savetovanje industrije ulja Proizvodnja i prerada uljarica, Herceg Novi, 23-28. jun 2024.",
title = "Kvalitet novopriznatih NS sorti soje u 2024. godini, Quality newly released NS varieties soybean in 2024",
pages = "49-42",
url = "https://hdl.handle.net/21.15107/rcub_fiver_4699"
}

Đukić, V., Miladinović, J., Stojanović, D., Đorđević, V., Latković, D., Ranđelović, P.,& Mamlić, Z.. (2024). Kvalitet novopriznatih NS sorti soje u 2024. godini. in Zbornik radova, 65. Savetovanje industrije ulja Proizvodnja i prerada uljarica, Herceg Novi, 23-28. jun 2024.
Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet., 42-49.
https://hdl.handle.net/21.15107/rcub_fiver_4699

Đukić V, Miladinović J, Stojanović D, Đorđević V, Latković D, Ranđelović P, Mamlić Z. Kvalitet novopriznatih NS sorti soje u 2024. godini. in Zbornik radova, 65. Savetovanje industrije ulja Proizvodnja i prerada uljarica, Herceg Novi, 23-28. jun 2024.. 2024;:42-49.
https://hdl.handle.net/21.15107/rcub_fiver_4699 .

Đukić, Vojin, Miladinović, Jegor, Stojanović, Danijela, Đorđević, Vuk, Latković, Dragana, Ranđelović, Predrag, Mamlić, Zlatica, "Kvalitet novopriznatih NS sorti soje u 2024. godini" in Zbornik radova, 65. Savetovanje industrije ulja Proizvodnja i prerada uljarica, Herceg Novi, 23-28. jun 2024. (2024):42-49,
https://hdl.handle.net/21.15107/rcub_fiver_4699 .

TY  - CONF
AU  - Jaćimović, Simona
AU  - Đukić, Vojin
AU  - Miladinović, Jegor
AU  - Đorđević, Vuk
AU  - Ranđelović, Predrag
AU  - Ćeran, Marina
AU  - Mamlić, Zlatica
PY  - 2024
UR  - http://fiver.ifvcns.rs/handle/123456789/4700
AB  - NS sortiment soje je veoma raznovrstan, kako po pogledu dužine vegetacionog perioda, tako i po potencijalu za prinos i kvalitet zrna. Od analiziranih 34 NS sorte soje u 2023. godini po visini prinosa izdvajaju se veoma rane sorte NS Olympus, NS Valantis i NS Westeros, rane sorte NS Atlas i NS Ozymandias, srednjestasne sorte NS Regulus, NS Zmaj i NS Kraljica i sredne kasne sorte NS Validus i NS Simba. Po sadržaju proteina izdvajaju se sorte soje NS Kaća, Merkur, NS Kolos, NS Ecob, NS Favorit i NS Valantis, a po povišenom sadržaju ulja NS Regulus, NS Valantis, NS Hogar, NS Dracarys, NS Sedef i NS Atlas. 
Najviši prinos proteina ostvaren je sa sortama soje NS Zmaj, NS Valantis, NS Kraljica, NS Regulus i NS Simba, a najviši prinos ulja sa sortama NS Regulus, NS Validus, NS Zmaj, NS Kraljica i NS Hogar.
AB  - The NS assortment of soybeans is very diverse, both in terms of the length of the growing season, and in terms of the potential for grain yield and quality. From the analyzed 34 NS soybean varieties in 2023, the very early varieties NS Olympus, NS Valantis and NS Westeros, the early varieties NS Atlas and NS Ozymandias, the medium varieties NS Regulus, NS Zmaj and NS Kraljica and the medium late varieties NS stand out in terms of yield Validus and NS Simba. The soy varieties NS Kaca, Merkur, NS Kolos, NS Ecob, NS Favorit and NS Valantis stand out for their protein content, and NS Regulus, NS Valantis, NS Hogar, NS Dracarys, NS Sedef and NS Atlas for their increased oil content. The highest protein yield was achieved with soybean varieties NS Zmaj, NS Valantis, NS Kraljica, NS Regulus and NS Simba, and the highest oil yield with the varieties NS Regulus, NS Validus, NS Zmaj, NS Kraljica and NS Hogar.
PB  - Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet
PB  - Novi Sad : Institut za ratarstvo i povrtarstvo
PB  - Novi Sad : Industrijsko bilje
C3  - Zbornik radova, 65. Savetovanje industrije ulja Proizvodnja i prerada uljarica, Herceg Novi, 23-28. jun 2024.
T1  - Prinos i kvalitet NS sorti soje u 2023. godini
T1  - Yield and quality of NS soybean varieties in 2023
EP  - 56
SP  - 50
UR  - https://hdl.handle.net/21.15107/rcub_fiver_4700
ER  - 

@conference{
author = "Jaćimović, Simona and Đukić, Vojin and Miladinović, Jegor and Đorđević, Vuk and Ranđelović, Predrag and Ćeran, Marina and Mamlić, Zlatica",
year = "2024",
abstract = "NS sortiment soje je veoma raznovrstan, kako po pogledu dužine vegetacionog perioda, tako i po potencijalu za prinos i kvalitet zrna. Od analiziranih 34 NS sorte soje u 2023. godini po visini prinosa izdvajaju se veoma rane sorte NS Olympus, NS Valantis i NS Westeros, rane sorte NS Atlas i NS Ozymandias, srednjestasne sorte NS Regulus, NS Zmaj i NS Kraljica i sredne kasne sorte NS Validus i NS Simba. Po sadržaju proteina izdvajaju se sorte soje NS Kaća, Merkur, NS Kolos, NS Ecob, NS Favorit i NS Valantis, a po povišenom sadržaju ulja NS Regulus, NS Valantis, NS Hogar, NS Dracarys, NS Sedef i NS Atlas. 
Najviši prinos proteina ostvaren je sa sortama soje NS Zmaj, NS Valantis, NS Kraljica, NS Regulus i NS Simba, a najviši prinos ulja sa sortama NS Regulus, NS Validus, NS Zmaj, NS Kraljica i NS Hogar., The NS assortment of soybeans is very diverse, both in terms of the length of the growing season, and in terms of the potential for grain yield and quality. From the analyzed 34 NS soybean varieties in 2023, the very early varieties NS Olympus, NS Valantis and NS Westeros, the early varieties NS Atlas and NS Ozymandias, the medium varieties NS Regulus, NS Zmaj and NS Kraljica and the medium late varieties NS stand out in terms of yield Validus and NS Simba. The soy varieties NS Kaca, Merkur, NS Kolos, NS Ecob, NS Favorit and NS Valantis stand out for their protein content, and NS Regulus, NS Valantis, NS Hogar, NS Dracarys, NS Sedef and NS Atlas for their increased oil content. The highest protein yield was achieved with soybean varieties NS Zmaj, NS Valantis, NS Kraljica, NS Regulus and NS Simba, and the highest oil yield with the varieties NS Regulus, NS Validus, NS Zmaj, NS Kraljica and NS Hogar.",
publisher = "Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet, Novi Sad : Institut za ratarstvo i povrtarstvo, Novi Sad : Industrijsko bilje",
journal = "Zbornik radova, 65. Savetovanje industrije ulja Proizvodnja i prerada uljarica, Herceg Novi, 23-28. jun 2024.",
title = "Prinos i kvalitet NS sorti soje u 2023. godini, Yield and quality of NS soybean varieties in 2023",
pages = "56-50",
url = "https://hdl.handle.net/21.15107/rcub_fiver_4700"
}

Jaćimović, S., Đukić, V., Miladinović, J., Đorđević, V., Ranđelović, P., Ćeran, M.,& Mamlić, Z.. (2024). Prinos i kvalitet NS sorti soje u 2023. godini. in Zbornik radova, 65. Savetovanje industrije ulja Proizvodnja i prerada uljarica, Herceg Novi, 23-28. jun 2024.
Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet., 50-56.
https://hdl.handle.net/21.15107/rcub_fiver_4700

Jaćimović S, Đukić V, Miladinović J, Đorđević V, Ranđelović P, Ćeran M, Mamlić Z. Prinos i kvalitet NS sorti soje u 2023. godini. in Zbornik radova, 65. Savetovanje industrije ulja Proizvodnja i prerada uljarica, Herceg Novi, 23-28. jun 2024.. 2024;:50-56.
https://hdl.handle.net/21.15107/rcub_fiver_4700 .

Jaćimović, Simona, Đukić, Vojin, Miladinović, Jegor, Đorđević, Vuk, Ranđelović, Predrag, Ćeran, Marina, Mamlić, Zlatica, "Prinos i kvalitet NS sorti soje u 2023. godini" in Zbornik radova, 65. Savetovanje industrije ulja Proizvodnja i prerada uljarica, Herceg Novi, 23-28. jun 2024. (2024):50-56,
https://hdl.handle.net/21.15107/rcub_fiver_4700 .

TY  - CONF
AU  - Đukić, Vojin
AU  - Mamlić, Zlatica
AU  - Miladinović, Jegor
AU  - Ćeran, Marina
AU  - Latković, Dragana
AU  - Đorđević, Vuk
AU  - Cvijanović, Vojin
PY  - 2024
UR  - http://fiver.ifvcns.rs/handle/123456789/4702
AB  - Radi postizanja visokih i stabilnih prinosa soje u različitim godinama mora se pristupiti sortnoj agrotehnici i izvršiti pravilnu rejonizaciju sorti soje. Cilj ovoga rada je sagledavanje prinosa, sadržaja proteinai ulja, kao i prinosa proteina i ulja po jedinici površine šest NS sorti soje na šest lokaliteta u 2023. godini. Sorta soje NS Atlas ostvarila je najviši prinos zrna (3.249 kgha-1), sorte NS Maximus i NS Apolo najviši saržaj proteina (39,8%), a sorta NS Atlas najviši sadržaj ulja (23,6%), dok je najviši prinos proteina (1.276 kgha-1) i ulja po jedinici površine (765 kgha-1) ostvaren sa sortom soje NS Atlas.
AB  - To achieve high and stable soybean yields in different years, varietal agrotechnics must be applied and proper rezoning of soybean varieties must be carried out. The aim of this work is to analyze the yield, protein, and oil content, as well as protein and oil yield per unit area of six NS soybean varieties at six localities in 2023. The NS Atlas soybean variety achieved the highest grain yield (3,249 kgha-1), the NS Maximus and NS Apolo varieties had the highest protein content (39,8%), and the NS Atlas variety had the highest oil content (23.6%), while the highest yield of protein (1,276 kgha-1) and oil per unit area (765 kgha-1) achieved with the NS Atlas soybean variety.
PB  - Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet
PB  - Novi Sad : Institut za ratarstvo i povrtarstvo
PB  - Novi Sad : Industrijsko bilje
C3  - Zbornik radova, 65. Savetovanje industrije ulja Proizvodnja i prerada uljarica, Herceg Novi, 23-28. jun 2024.
T1  - Uticaj lokaliteta gajenja na prinos i kvalitet zrna soje u 2023. godini
T1  - Influence of cultivation location on yield and quality of soybean in 2023
EP  - 63
SP  - 57
DO  - 978-86-6253-181-0
ER  - 

@conference{
author = "Đukić, Vojin and Mamlić, Zlatica and Miladinović, Jegor and Ćeran, Marina and Latković, Dragana and Đorđević, Vuk and Cvijanović, Vojin",
year = "2024",
abstract = "Radi postizanja visokih i stabilnih prinosa soje u različitim godinama mora se pristupiti sortnoj agrotehnici i izvršiti pravilnu rejonizaciju sorti soje. Cilj ovoga rada je sagledavanje prinosa, sadržaja proteinai ulja, kao i prinosa proteina i ulja po jedinici površine šest NS sorti soje na šest lokaliteta u 2023. godini. Sorta soje NS Atlas ostvarila je najviši prinos zrna (3.249 kgha-1), sorte NS Maximus i NS Apolo najviši saržaj proteina (39,8%), a sorta NS Atlas najviši sadržaj ulja (23,6%), dok je najviši prinos proteina (1.276 kgha-1) i ulja po jedinici površine (765 kgha-1) ostvaren sa sortom soje NS Atlas., To achieve high and stable soybean yields in different years, varietal agrotechnics must be applied and proper rezoning of soybean varieties must be carried out. The aim of this work is to analyze the yield, protein, and oil content, as well as protein and oil yield per unit area of six NS soybean varieties at six localities in 2023. The NS Atlas soybean variety achieved the highest grain yield (3,249 kgha-1), the NS Maximus and NS Apolo varieties had the highest protein content (39,8%), and the NS Atlas variety had the highest oil content (23.6%), while the highest yield of protein (1,276 kgha-1) and oil per unit area (765 kgha-1) achieved with the NS Atlas soybean variety.",
publisher = "Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet, Novi Sad : Institut za ratarstvo i povrtarstvo, Novi Sad : Industrijsko bilje",
journal = "Zbornik radova, 65. Savetovanje industrije ulja Proizvodnja i prerada uljarica, Herceg Novi, 23-28. jun 2024.",
title = "Uticaj lokaliteta gajenja na prinos i kvalitet zrna soje u 2023. godini, Influence of cultivation location on yield and quality of soybean in 2023",
pages = "63-57",
doi = "978-86-6253-181-0"
}

Đukić, V., Mamlić, Z., Miladinović, J., Ćeran, M., Latković, D., Đorđević, V.,& Cvijanović, V.. (2024). Uticaj lokaliteta gajenja na prinos i kvalitet zrna soje u 2023. godini. in Zbornik radova, 65. Savetovanje industrije ulja Proizvodnja i prerada uljarica, Herceg Novi, 23-28. jun 2024.
Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultet., 57-63.
https://doi.org/978-86-6253-181-0

Đukić V, Mamlić Z, Miladinović J, Ćeran M, Latković D, Đorđević V, Cvijanović V. Uticaj lokaliteta gajenja na prinos i kvalitet zrna soje u 2023. godini. in Zbornik radova, 65. Savetovanje industrije ulja Proizvodnja i prerada uljarica, Herceg Novi, 23-28. jun 2024.. 2024;:57-63.
doi:978-86-6253-181-0 .

Đukić, Vojin, Mamlić, Zlatica, Miladinović, Jegor, Ćeran, Marina, Latković, Dragana, Đorđević, Vuk, Cvijanović, Vojin, "Uticaj lokaliteta gajenja na prinos i kvalitet zrna soje u 2023. godini" in Zbornik radova, 65. Savetovanje industrije ulja Proizvodnja i prerada uljarica, Herceg Novi, 23-28. jun 2024. (2024):57-63,
https://doi.org/978-86-6253-181-0 . .