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  - 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  - JOUR
AU  - Božović, Dragan
AU  - Živanović, Tomislav
AU  - Popović, Vera
AU  - Tatić, Mladen
AU  - Gospavić, Zagorka
AU  - Miloradović, Zoran
AU  - Stanković, Goran
AU  - Dokić, Milorad
PY  - 2018
UR  - http://fiver.ifvcns.rs/handle/123456789/1743
AB  - Maize genotypes have varied reactions in different localities, years, treatments or the combination of these factors, due to genotype x year interaction. The objective of this study was to estimate genotype by locality, by year, by treatments (GxLxYxT) interaction using AMMI model, to identify maize genotypes with stable and high yield performance in different growing seasons. The trials with seven maize lines/genotypes were conducted during two years (2010-2011) at the four treatments and two locations: Pancevo and Zemun Polje. The results showed that the influence of: genotype (G), locality (L), treatment (T) and GxL, GxT, YxL, YxT, LXT, GxYxT, GxLxT, YxLxT, GxYxLxT interaction, on maize yield were significant (p lt 0.01). The share of genotype for maize grain yield in the total phenotypic variance was 21.16%, the aggregate share of the years and the locality was 6.10%, the treatment was 18.22%, and the total interaction was 54.52%. The AMMI analysis of the main components of IPCA1 and IPCA2 for the interaction of GxL and GxT shows that the first major component, IPCA1, comprises 100% of the sum of the squared interaction GxL and showed a statistically significant effect. The results also show that the sums of the squares of the first and second major components (PC1 and PC2) constitute 100% of the sum of the squared interaction GxL. The IPCA1 share in the GxT interaction was 47.39% and the IPC2 was 37.94%. IPC1 and IPC2 for this interaction was 85.33%. A high level of IPC2 indicates a significant treatment effect. The results of AMI analysis show that there is a significant difference between the genotype reactions to different ecological conditions for investigated factors. It also provided better insight in specific association between maize grain yield, locality, treatment and meteorological variables. Among the tested maize lines/genotypes, L-5, L-4 and L-6 could be separated as highest yielding genotypes, however L-5 could be recommended for further breeding program and in large-scale seed production due to its stable and high yielding performance.
PB  - Društvo genetičara Srbije, Beograd
T2  - Genetika-Belgrade
T1  - Assessment stability of maize lines yield by gge-biplot analysis
EP  - 770
IS  - 3
SP  - 755
VL  - 50
DO  - 10.2298/GENSR1803755B
ER  - 

@article{
author = "Božović, Dragan and Živanović, Tomislav and Popović, Vera and Tatić, Mladen and Gospavić, Zagorka and Miloradović, Zoran and Stanković, Goran and Dokić, Milorad",
year = "2018",
abstract = "Maize genotypes have varied reactions in different localities, years, treatments or the combination of these factors, due to genotype x year interaction. The objective of this study was to estimate genotype by locality, by year, by treatments (GxLxYxT) interaction using AMMI model, to identify maize genotypes with stable and high yield performance in different growing seasons. The trials with seven maize lines/genotypes were conducted during two years (2010-2011) at the four treatments and two locations: Pancevo and Zemun Polje. The results showed that the influence of: genotype (G), locality (L), treatment (T) and GxL, GxT, YxL, YxT, LXT, GxYxT, GxLxT, YxLxT, GxYxLxT interaction, on maize yield were significant (p lt 0.01). The share of genotype for maize grain yield in the total phenotypic variance was 21.16%, the aggregate share of the years and the locality was 6.10%, the treatment was 18.22%, and the total interaction was 54.52%. The AMMI analysis of the main components of IPCA1 and IPCA2 for the interaction of GxL and GxT shows that the first major component, IPCA1, comprises 100% of the sum of the squared interaction GxL and showed a statistically significant effect. The results also show that the sums of the squares of the first and second major components (PC1 and PC2) constitute 100% of the sum of the squared interaction GxL. The IPCA1 share in the GxT interaction was 47.39% and the IPC2 was 37.94%. IPC1 and IPC2 for this interaction was 85.33%. A high level of IPC2 indicates a significant treatment effect. The results of AMI analysis show that there is a significant difference between the genotype reactions to different ecological conditions for investigated factors. It also provided better insight in specific association between maize grain yield, locality, treatment and meteorological variables. Among the tested maize lines/genotypes, L-5, L-4 and L-6 could be separated as highest yielding genotypes, however L-5 could be recommended for further breeding program and in large-scale seed production due to its stable and high yielding performance.",
publisher = "Društvo genetičara Srbije, Beograd",
journal = "Genetika-Belgrade",
title = "Assessment stability of maize lines yield by gge-biplot analysis",
pages = "770-755",
number = "3",
volume = "50",
doi = "10.2298/GENSR1803755B"
}

Božović, D., Živanović, T., Popović, V., Tatić, M., Gospavić, Z., Miloradović, Z., Stanković, G.,& Dokić, M.. (2018). Assessment stability of maize lines yield by gge-biplot analysis. in Genetika-Belgrade
Društvo genetičara Srbije, Beograd., 50(3), 755-770.
https://doi.org/10.2298/GENSR1803755B

Božović D, Živanović T, Popović V, Tatić M, Gospavić Z, Miloradović Z, Stanković G, Dokić M. Assessment stability of maize lines yield by gge-biplot analysis. in Genetika-Belgrade. 2018;50(3):755-770.
doi:10.2298/GENSR1803755B .

Božović, Dragan, Živanović, Tomislav, Popović, Vera, Tatić, Mladen, Gospavić, Zagorka, Miloradović, Zoran, Stanković, Goran, Dokić, Milorad, "Assessment stability of maize lines yield by gge-biplot analysis" in Genetika-Belgrade, 50, no. 3 (2018):755-770,
https://doi.org/10.2298/GENSR1803755B . .