TY  - JOUR
AU  - Ljubičić, Nataša
AU  - Popović, Vera
AU  - Kostić, Marko
AU  - Pajić, Miloš
AU  - Buđen, Maša
AU  - Gligorević, Kosta
AU  - Dražić, Milan
AU  - Bižić, Milica
AU  - Crnojević, Vladimir
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3577
AB  - Evaluating maize genotypes under different conditions is important for identifying which genotypes combine stability with high yield potential. The aim of this study was to assess stability and the effect of the genotype–environment interaction (GEI) on the grain yield traits of four maize genotypes grown in field trials; one control trial without nitrogen, and three applying different levels of nitrogen (0, 70, 140, and 210 kg ha−1, respectively). Across two growing seasons, both the phenotypic variability and GEI for yield traits over four maize genotypes (P0725, P9889, P9757 and P9074) grown in four different fertilization treatments were studied. The additive main effects and multiplicative interaction (AMMI) models were used to estimate the GEI. The results revealed that genotype and environmental effects, such as the GEI effect, significantly influenced yield, as well as revealing that maize genotypes responded differently to different conditions and fertilization measures. An analysis of the GEI using the IPCA (interaction principal components) analysis method showed the statistical significance of the first source of variation, IPCA1. As the main component, IPCA1 explained 74.6% of GEI variation in maize yield. Genotype G3, with a mean grain yield of 10.6 t ha−1, was found to be the most stable and adaptable to all environments in both seasons, while genotype G1 was found to be unstable, following its specific adaptation to the environments.
PB  - Basel : MDPI
T2  - Plants - Basel
T1  - Multivariate Interaction Analysis of Zea mays L. Genotypes Growth Productivity in Different Environmental Conditions
IS  - 11
SP  - 2156
VL  - 12
DO  - 10.3390/plants12112165
ER  - 

@article{
author = "Ljubičić, Nataša and Popović, Vera and Kostić, Marko and Pajić, Miloš and Buđen, Maša and Gligorević, Kosta and Dražić, Milan and Bižić, Milica and Crnojević, Vladimir",
year = "2023",
abstract = "Evaluating maize genotypes under different conditions is important for identifying which genotypes combine stability with high yield potential. The aim of this study was to assess stability and the effect of the genotype–environment interaction (GEI) on the grain yield traits of four maize genotypes grown in field trials; one control trial without nitrogen, and three applying different levels of nitrogen (0, 70, 140, and 210 kg ha−1, respectively). Across two growing seasons, both the phenotypic variability and GEI for yield traits over four maize genotypes (P0725, P9889, P9757 and P9074) grown in four different fertilization treatments were studied. The additive main effects and multiplicative interaction (AMMI) models were used to estimate the GEI. The results revealed that genotype and environmental effects, such as the GEI effect, significantly influenced yield, as well as revealing that maize genotypes responded differently to different conditions and fertilization measures. An analysis of the GEI using the IPCA (interaction principal components) analysis method showed the statistical significance of the first source of variation, IPCA1. As the main component, IPCA1 explained 74.6% of GEI variation in maize yield. Genotype G3, with a mean grain yield of 10.6 t ha−1, was found to be the most stable and adaptable to all environments in both seasons, while genotype G1 was found to be unstable, following its specific adaptation to the environments.",
publisher = "Basel : MDPI",
journal = "Plants - Basel",
title = "Multivariate Interaction Analysis of Zea mays L. Genotypes Growth Productivity in Different Environmental Conditions",
number = "11",
pages = "2156",
volume = "12",
doi = "10.3390/plants12112165"
}

Ljubičić, N., Popović, V., Kostić, M., Pajić, M., Buđen, M., Gligorević, K., Dražić, M., Bižić, M.,& Crnojević, V.. (2023). Multivariate Interaction Analysis of Zea mays L. Genotypes Growth Productivity in Different Environmental Conditions. in Plants - Basel
Basel : MDPI., 12(11), 2156.
https://doi.org/10.3390/plants12112165

Ljubičić N, Popović V, Kostić M, Pajić M, Buđen M, Gligorević K, Dražić M, Bižić M, Crnojević V. Multivariate Interaction Analysis of Zea mays L. Genotypes Growth Productivity in Different Environmental Conditions. in Plants - Basel. 2023;12(11):2156.
doi:10.3390/plants12112165 .

Ljubičić, Nataša, Popović, Vera, Kostić, Marko, Pajić, Miloš, Buđen, Maša, Gligorević, Kosta, Dražić, Milan, Bižić, Milica, Crnojević, Vladimir, "Multivariate Interaction Analysis of Zea mays L. Genotypes Growth Productivity in Different Environmental Conditions" in Plants - Basel, 12, no. 11 (2023):2156,
https://doi.org/10.3390/plants12112165 . .

TY  - JOUR
AU  - Ačanski, Jelena
AU  - Gvozdenac, Sonja
AU  - Radenković, Marko
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3322
AB  - The rice weevil, Sitophilus oryzae, is one of the most pernicious pests of stored grain. It is a primary pest and causes a reduction in weight, quality, seed viability and commercial value of various cereals. For this study, we reared S. oryzae on wheat grains under two different adult densities, low and high, with an aim to assess the influence of population density on fluctuating asymmetry of the adult’s ventral body. Fluctuating asymmetry represents slight and random deviations from bilateral symmetry normally distributed around a 0 mean, and its level is usually higher under a disturbed developmental process. Accordingly, we expected that environmental 
stress caused by higher density would increase its level. Opposite to our hypothesis, the study showed that population density did not influence fluctuating asymmetry of S. oryzae adults. Both experimental populations exhibited a similar, non-significant level of fluctuating asymmetry.
PB  - Elsevier
T2  - Journal of Stored Products Research
T1  - Does population density influence fluctuating asymmetry of Sitophilus oryzae laboratory populations?
SP  - 102092
VL  - 101
DO  - 10.1016/j.jspr.2023.102092
ER  - 

@article{
author = "Ačanski, Jelena and Gvozdenac, Sonja and Radenković, Marko",
year = "2023",
abstract = "The rice weevil, Sitophilus oryzae, is one of the most pernicious pests of stored grain. It is a primary pest and causes a reduction in weight, quality, seed viability and commercial value of various cereals. For this study, we reared S. oryzae on wheat grains under two different adult densities, low and high, with an aim to assess the influence of population density on fluctuating asymmetry of the adult’s ventral body. Fluctuating asymmetry represents slight and random deviations from bilateral symmetry normally distributed around a 0 mean, and its level is usually higher under a disturbed developmental process. Accordingly, we expected that environmental 
stress caused by higher density would increase its level. Opposite to our hypothesis, the study showed that population density did not influence fluctuating asymmetry of S. oryzae adults. Both experimental populations exhibited a similar, non-significant level of fluctuating asymmetry.",
publisher = "Elsevier",
journal = "Journal of Stored Products Research",
title = "Does population density influence fluctuating asymmetry of Sitophilus oryzae laboratory populations?",
pages = "102092",
volume = "101",
doi = "10.1016/j.jspr.2023.102092"
}

Ačanski, J., Gvozdenac, S.,& Radenković, M.. (2023). Does population density influence fluctuating asymmetry of Sitophilus oryzae laboratory populations?. in Journal of Stored Products Research
Elsevier., 101, 102092.
https://doi.org/10.1016/j.jspr.2023.102092

Ačanski J, Gvozdenac S, Radenković M. Does population density influence fluctuating asymmetry of Sitophilus oryzae laboratory populations?. in Journal of Stored Products Research. 2023;101:102092.
doi:10.1016/j.jspr.2023.102092 .

Ačanski, Jelena, Gvozdenac, Sonja, Radenković, Marko, "Does population density influence fluctuating asymmetry of Sitophilus oryzae laboratory populations?" in Journal of Stored Products Research, 101 (2023):102092,
https://doi.org/10.1016/j.jspr.2023.102092 . .

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 . .