TY  - JOUR
AU  - Ljubičić, Nataša
AU  - Popović, Vera
AU  - Ćirić, Vladimir
AU  - Kostić, Marko
AU  - Ivošević, Bojana
AU  - Popović, Dragana
AU  - Pandzić, Milos
AU  - El Musafah, Seddiq
AU  - Janković, Snežana
PY  - 2021
UR  - http://fiver.ifvcns.rs/handle/123456789/2083
AB  - The less productive soils present one of the major problems in wheat production. Because of unfavorable conditions, halomorphic soils could be intensively utilized using ameliorative measures and by selecting suitable stress tolerant wheat genotypes. This study examined the responses of ten winter wheat cultivars on stressful conditions of halomorphic soil, solonetz type in Banat, Serbia. The wheat genotypes were grown in field trails of control and treatments with two soil amelioration levels using phosphor gypsum, in amounts of 25 and 50 tha(-1). Across two vegetation seasons, phenotypic variability and genotype by environment interaction (GEI) for yield traits of wheat were studied. The additive main effects and multiplicative interaction (AMMI) models were used to study the GEI. AMMI analyses revealed significant genotype and environmental effects, as well as GEI effect. Analysis of GEI using the IPCA (Interaction Principal Components) analysis showed a statistical significance of the first two main components, IPCA1 and IPCA2 for yield, which jointly explained 70% of GEI variation. First source of variation IPCA1 explained 41.15% of the GEI for the grain weight per plant and 78.54% for the harvest index. The results revealed that wheat genotypes responded differently to stressful conditions and ameliorative measures.
PB  - Basel : MDPI
T2  - Plants-Basel
T1  - Multivariate Interaction Analysis of Winter Wheat Grown in Environment of Limited Soil Conditions
IS  - 3
VL  - 10
DO  - 10.3390/plants10030604
ER  - 

@article{
author = "Ljubičić, Nataša and Popović, Vera and Ćirić, Vladimir and Kostić, Marko and Ivošević, Bojana and Popović, Dragana and Pandzić, Milos and El Musafah, Seddiq and Janković, Snežana",
year = "2021",
abstract = "The less productive soils present one of the major problems in wheat production. Because of unfavorable conditions, halomorphic soils could be intensively utilized using ameliorative measures and by selecting suitable stress tolerant wheat genotypes. This study examined the responses of ten winter wheat cultivars on stressful conditions of halomorphic soil, solonetz type in Banat, Serbia. The wheat genotypes were grown in field trails of control and treatments with two soil amelioration levels using phosphor gypsum, in amounts of 25 and 50 tha(-1). Across two vegetation seasons, phenotypic variability and genotype by environment interaction (GEI) for yield traits of wheat were studied. The additive main effects and multiplicative interaction (AMMI) models were used to study the GEI. AMMI analyses revealed significant genotype and environmental effects, as well as GEI effect. Analysis of GEI using the IPCA (Interaction Principal Components) analysis showed a statistical significance of the first two main components, IPCA1 and IPCA2 for yield, which jointly explained 70% of GEI variation. First source of variation IPCA1 explained 41.15% of the GEI for the grain weight per plant and 78.54% for the harvest index. The results revealed that wheat genotypes responded differently to stressful conditions and ameliorative measures.",
publisher = "Basel : MDPI",
journal = "Plants-Basel",
title = "Multivariate Interaction Analysis of Winter Wheat Grown in Environment of Limited Soil Conditions",
number = "3",
volume = "10",
doi = "10.3390/plants10030604"
}

Ljubičić, N., Popović, V., Ćirić, V., Kostić, M., Ivošević, B., Popović, D., Pandzić, M., El Musafah, S.,& Janković, S.. (2021). Multivariate Interaction Analysis of Winter Wheat Grown in Environment of Limited Soil Conditions. in Plants-Basel
Basel : MDPI., 10(3).
https://doi.org/10.3390/plants10030604

Ljubičić N, Popović V, Ćirić V, Kostić M, Ivošević B, Popović D, Pandzić M, El Musafah S, Janković S. Multivariate Interaction Analysis of Winter Wheat Grown in Environment of Limited Soil Conditions. in Plants-Basel. 2021;10(3).
doi:10.3390/plants10030604 .

Ljubičić, Nataša, Popović, Vera, Ćirić, Vladimir, Kostić, Marko, Ivošević, Bojana, Popović, Dragana, Pandzić, Milos, El Musafah, Seddiq, Janković, Snežana, "Multivariate Interaction Analysis of Winter Wheat Grown in Environment of Limited Soil Conditions" in Plants-Basel, 10, no. 3 (2021),
https://doi.org/10.3390/plants10030604 . .

TY  - JOUR
AU  - Ljubičić, Nataša
AU  - Radović, M.
AU  - Kostić, Marko
AU  - Popović, Vera
AU  - Radulović, M.
AU  - Blagojević, D.
AU  - Ivošević, Bojana
PY  - 2020
UR  - http://fiver.ifvcns.rs/handle/123456789/2067
AB  - The properties of zinc oxide nanoparticles (ZnO NPs) and their use have been shown as prominent for application in agriculture since it can bring certain benefits in agricultural production. The objective of this study was to estimate the impact of seed priming with ZnO NPs on yield components, plant height and spike length on wheat. In order to estimate the effects of ZnO nanoparticles on yield component, four winter wheat genotypes namely, NS Pobeda, NS Futura, NS 40S and NK Ingenio were selected. Seeds of each wheat genotypes were primed with different concentrations of ZnO NPs (0, 10, 100 and 1000 mg l-1) for 48 h in dark box by continuous aeration. Primed seeds were after sown in soil pots with 60-70% moisture contents during the till maturity. Considerable improvement was observed in plant height and spike length which increased with rates of ZnO NPs compared to the control. At rates of 10 mg l-1 ZnO NPs, the greatest increases in plant height and spike length were observed for genotypes NS Pobeda and NS Futura. At 100 mg l-1 ZnO NPs, the greatest increase for both traits was observed for genotypes NS 40S and NK Ingenio. Maximum rates of ZnO nanoparticles reduced both observed traits of wheat. The result indicated that ZnO nanoparticles can significantly increase plant height and spike length of wheat, but also plant response to ZnO nanoparticles significantly depends on concentration of application, as well as from wheat genotype.
PB  - University of Montenegro
T2  - Agriculture & Forestry
T1  - The impact of ZnO nanoparticles application on yield components of different wheat genotypes
EP  - 227
IS  - 2
SP  - 217
VL  - 66
DO  - 10.17707/AgricultForest.66.2.19
ER  - 

@article{
author = "Ljubičić, Nataša and Radović, M. and Kostić, Marko and Popović, Vera and Radulović, M. and Blagojević, D. and Ivošević, Bojana",
year = "2020",
abstract = "The properties of zinc oxide nanoparticles (ZnO NPs) and their use have been shown as prominent for application in agriculture since it can bring certain benefits in agricultural production. The objective of this study was to estimate the impact of seed priming with ZnO NPs on yield components, plant height and spike length on wheat. In order to estimate the effects of ZnO nanoparticles on yield component, four winter wheat genotypes namely, NS Pobeda, NS Futura, NS 40S and NK Ingenio were selected. Seeds of each wheat genotypes were primed with different concentrations of ZnO NPs (0, 10, 100 and 1000 mg l-1) for 48 h in dark box by continuous aeration. Primed seeds were after sown in soil pots with 60-70% moisture contents during the till maturity. Considerable improvement was observed in plant height and spike length which increased with rates of ZnO NPs compared to the control. At rates of 10 mg l-1 ZnO NPs, the greatest increases in plant height and spike length were observed for genotypes NS Pobeda and NS Futura. At 100 mg l-1 ZnO NPs, the greatest increase for both traits was observed for genotypes NS 40S and NK Ingenio. Maximum rates of ZnO nanoparticles reduced both observed traits of wheat. The result indicated that ZnO nanoparticles can significantly increase plant height and spike length of wheat, but also plant response to ZnO nanoparticles significantly depends on concentration of application, as well as from wheat genotype.",
publisher = "University of Montenegro",
journal = "Agriculture & Forestry",
title = "The impact of ZnO nanoparticles application on yield components of different wheat genotypes",
pages = "227-217",
number = "2",
volume = "66",
doi = "10.17707/AgricultForest.66.2.19"
}

Ljubičić, N., Radović, M., Kostić, M., Popović, V., Radulović, M., Blagojević, D.,& Ivošević, B.. (2020). The impact of ZnO nanoparticles application on yield components of different wheat genotypes. in Agriculture & Forestry
University of Montenegro., 66(2), 217-227.
https://doi.org/10.17707/AgricultForest.66.2.19

Ljubičić N, Radović M, Kostić M, Popović V, Radulović M, Blagojević D, Ivošević B. The impact of ZnO nanoparticles application on yield components of different wheat genotypes. in Agriculture & Forestry. 2020;66(2):217-227.
doi:10.17707/AgricultForest.66.2.19 .

Ljubičić, Nataša, Radović, M., Kostić, Marko, Popović, Vera, Radulović, M., Blagojević, D., Ivošević, Bojana, "The impact of ZnO nanoparticles application on yield components of different wheat genotypes" in Agriculture & Forestry, 66, no. 2 (2020):217-227,
https://doi.org/10.17707/AgricultForest.66.2.19 . .

TY  - JOUR
AU  - Popović, Vera
AU  - Ljubičić, Nataša
AU  - Kostić, Marko
AU  - Radulović, Mirjana
AU  - Blagojević, Dragana
AU  - Ugrenović, Vladan
AU  - Popović, Dragana
AU  - Ivošević, Bojana
PY  - 2020
UR  - http://fiver.ifvcns.rs/handle/123456789/2005
AB  - Different seed priming treatments are widely used in order to improve the nutritional status of wheat, as well as to improve its grain yield and yield- related traits. The present study aimed to evaluate the impact of seed priming with zinc oxide nanoparticles (ZnO NPs) on the yield related traits, such as, field emergence, plant height, spike length and grain yield per plant of four winter wheat genotypes (Triticum aestivum L.) during two vegetation seasons of 2018/2019 and 2019/2020. The seeds of each wheat genotypes were primed with different concentrations of ZnO NPs (0 mg L-1, 10 mg L-1, 100 mg L-1 and 1000 mg L-1) for 48 h in a dark box by continuous aeration and were sown in soil pots with 60-70% moisture content until full maturity. The additive main effects and multiplicative interaction (AMMI) models were used to study the genotype environment effects. The results indicated that the plants response to ZnO nanoparticles significantly increased all of the observed traits of the wheat, while its maximum rates reduced the traits of the wheat. The AMMI analysis revealed the very complex nature of the variation observed in the trial and showed the significant effect of the GxE interaction, in which the first main component was significant for all components.
PB  - Basel : MDPI
T2  - Plants-Basel
T1  - Genotype x Environment Interaction for Wheat Yield Traits Suitable for Selection in Different Seed Priming Conditions
IS  - 12
VL  - 9
DO  - 10.3390/plants9121804
ER  - 

@article{
author = "Popović, Vera and Ljubičić, Nataša and Kostić, Marko and Radulović, Mirjana and Blagojević, Dragana and Ugrenović, Vladan and Popović, Dragana and Ivošević, Bojana",
year = "2020",
abstract = "Different seed priming treatments are widely used in order to improve the nutritional status of wheat, as well as to improve its grain yield and yield- related traits. The present study aimed to evaluate the impact of seed priming with zinc oxide nanoparticles (ZnO NPs) on the yield related traits, such as, field emergence, plant height, spike length and grain yield per plant of four winter wheat genotypes (Triticum aestivum L.) during two vegetation seasons of 2018/2019 and 2019/2020. The seeds of each wheat genotypes were primed with different concentrations of ZnO NPs (0 mg L-1, 10 mg L-1, 100 mg L-1 and 1000 mg L-1) for 48 h in a dark box by continuous aeration and were sown in soil pots with 60-70% moisture content until full maturity. The additive main effects and multiplicative interaction (AMMI) models were used to study the genotype environment effects. The results indicated that the plants response to ZnO nanoparticles significantly increased all of the observed traits of the wheat, while its maximum rates reduced the traits of the wheat. The AMMI analysis revealed the very complex nature of the variation observed in the trial and showed the significant effect of the GxE interaction, in which the first main component was significant for all components.",
publisher = "Basel : MDPI",
journal = "Plants-Basel",
title = "Genotype x Environment Interaction for Wheat Yield Traits Suitable for Selection in Different Seed Priming Conditions",
number = "12",
volume = "9",
doi = "10.3390/plants9121804"
}

Popović, V., Ljubičić, N., Kostić, M., Radulović, M., Blagojević, D., Ugrenović, V., Popović, D.,& Ivošević, B.. (2020). Genotype x Environment Interaction for Wheat Yield Traits Suitable for Selection in Different Seed Priming Conditions. in Plants-Basel
Basel : MDPI., 9(12).
https://doi.org/10.3390/plants9121804

Popović V, Ljubičić N, Kostić M, Radulović M, Blagojević D, Ugrenović V, Popović D, Ivošević B. Genotype x Environment Interaction for Wheat Yield Traits Suitable for Selection in Different Seed Priming Conditions. in Plants-Basel. 2020;9(12).
doi:10.3390/plants9121804 .

Popović, Vera, Ljubičić, Nataša, Kostić, Marko, Radulović, Mirjana, Blagojević, Dragana, Ugrenović, Vladan, Popović, Dragana, Ivošević, Bojana, "Genotype x Environment Interaction for Wheat Yield Traits Suitable for Selection in Different Seed Priming Conditions" in Plants-Basel, 9, no. 12 (2020),
https://doi.org/10.3390/plants9121804 . .

TY  - CONF
AU  - Ljubičić, Nataša
AU  - Kostić, Marko
AU  - Oskar, Marko
AU  - Panić, Marko
AU  - Brdar, Sanja
AU  - Lugonja, Predrag
AU  - Knežević, Milivoje
AU  - Minić, Vladan
AU  - Ivošević, Bojana
AU  - Jevtić, Radivoje
AU  - Crnojević, Vladimir
PY  - 2018
UR  - http://fiver.ifvcns.rs/handle/123456789/4083
AB  - Aboveground biomass of wheat is considered as one of the most important crop parameters and correct estimation of aboveground biomass can help improve crop monitoring and grain yield prediction. Remotely sensed vegetation indices such as NDVI (Normalized Difference Vegetation Index) represent one of the most promising tools for application in field phenotyping with potential to provide complex information on different traits of wheat. The objective of this study was to evaluate the potential of different NDVIs derived from field reflectance measurements in identification of a specific growth stage in which proximally or remotely sensed data showed the highest correlation with aboveground biomass and grain yield of 24 winter wheat genotypes. The NDVI was determined using an integrated proximal sensor GreenSeeker (NTech Industries Inc., Ukiah, California, USA) and hyperspectral camera (Ximea Corp., Lakewood, CO USA) at four growth stages of wheat: full flowering, medium milk, early dough and fully ripe. The hyperspectral NDVI indices were calculated from two-band combinations between red (600-700 nm) or far-red (700-750 nm) and near-infrared (756-955 nm) regions. Highly significant correlations were found between different NDVIs and both examined traits at medium milk growth stage, with r values of up to 0.69. The strong positive relationship implies that medium milk stage is optimal for wheat traits assessment in semiarid or similar growing conditions. The overall results indicated that hyperspectral camera provided alternative spectral combinations for different NDVIs which could be successfully used in assessing aboveground biomass and grain yield of a large number of wheat genotypes.
PB  - East Sarajevo : University of East Sarajevo, Faculty of Agriculture
C3  - Book of Proceedings, 9th International Scientific Agriculture Symposium "Agrosym 2018", 4-7 October 2018, Jahorina
T1  - Estimation of aboveground biomass and grain yield of winter wheat using NDVI measurements
EP  - 397
SP  - 390
UR  - https://hdl.handle.net/21.15107/rcub_fiver_4083
ER  - 

@conference{
author = "Ljubičić, Nataša and Kostić, Marko and Oskar, Marko and Panić, Marko and Brdar, Sanja and Lugonja, Predrag and Knežević, Milivoje and Minić, Vladan and Ivošević, Bojana and Jevtić, Radivoje and Crnojević, Vladimir",
year = "2018",
abstract = "Aboveground biomass of wheat is considered as one of the most important crop parameters and correct estimation of aboveground biomass can help improve crop monitoring and grain yield prediction. Remotely sensed vegetation indices such as NDVI (Normalized Difference Vegetation Index) represent one of the most promising tools for application in field phenotyping with potential to provide complex information on different traits of wheat. The objective of this study was to evaluate the potential of different NDVIs derived from field reflectance measurements in identification of a specific growth stage in which proximally or remotely sensed data showed the highest correlation with aboveground biomass and grain yield of 24 winter wheat genotypes. The NDVI was determined using an integrated proximal sensor GreenSeeker (NTech Industries Inc., Ukiah, California, USA) and hyperspectral camera (Ximea Corp., Lakewood, CO USA) at four growth stages of wheat: full flowering, medium milk, early dough and fully ripe. The hyperspectral NDVI indices were calculated from two-band combinations between red (600-700 nm) or far-red (700-750 nm) and near-infrared (756-955 nm) regions. Highly significant correlations were found between different NDVIs and both examined traits at medium milk growth stage, with r values of up to 0.69. The strong positive relationship implies that medium milk stage is optimal for wheat traits assessment in semiarid or similar growing conditions. The overall results indicated that hyperspectral camera provided alternative spectral combinations for different NDVIs which could be successfully used in assessing aboveground biomass and grain yield of a large number of wheat genotypes.",
publisher = "East Sarajevo : University of East Sarajevo, Faculty of Agriculture",
journal = "Book of Proceedings, 9th International Scientific Agriculture Symposium "Agrosym 2018", 4-7 October 2018, Jahorina",
title = "Estimation of aboveground biomass and grain yield of winter wheat using NDVI measurements",
pages = "397-390",
url = "https://hdl.handle.net/21.15107/rcub_fiver_4083"
}

Ljubičić, N., Kostić, M., Oskar, M., Panić, M., Brdar, S., Lugonja, P., Knežević, M., Minić, V., Ivošević, B., Jevtić, R.,& Crnojević, V.. (2018). Estimation of aboveground biomass and grain yield of winter wheat using NDVI measurements. in Book of Proceedings, 9th International Scientific Agriculture Symposium "Agrosym 2018", 4-7 October 2018, Jahorina
East Sarajevo : University of East Sarajevo, Faculty of Agriculture., 390-397.
https://hdl.handle.net/21.15107/rcub_fiver_4083

Ljubičić N, Kostić M, Oskar M, Panić M, Brdar S, Lugonja P, Knežević M, Minić V, Ivošević B, Jevtić R, Crnojević V. Estimation of aboveground biomass and grain yield of winter wheat using NDVI measurements. in Book of Proceedings, 9th International Scientific Agriculture Symposium "Agrosym 2018", 4-7 October 2018, Jahorina. 2018;:390-397.
https://hdl.handle.net/21.15107/rcub_fiver_4083 .

Ljubičić, Nataša, Kostić, Marko, Oskar, Marko, Panić, Marko, Brdar, Sanja, Lugonja, Predrag, Knežević, Milivoje, Minić, Vladan, Ivošević, Bojana, Jevtić, Radivoje, Crnojević, Vladimir, "Estimation of aboveground biomass and grain yield of winter wheat using NDVI measurements" in Book of Proceedings, 9th International Scientific Agriculture Symposium "Agrosym 2018", 4-7 October 2018, Jahorina (2018):390-397,
https://hdl.handle.net/21.15107/rcub_fiver_4083 .