Ljubičić, Nataša

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  • Ljubičić, Nataša (2)

Author's Bibliography

Multivariate Interaction Analysis of Zea mays L. Genotypes Growth Productivity in Different Environmental Conditions

Ljubičić, Nataša; Popović, Vera; Kostić, Marko; Pajić, Miloš; Buđen, Maša; Gligorević, Kosta; Dražić, Milan; Bižić, Milica; Crnojević, Vladimir

(2023)

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://aspace.agrif.bg.ac.rs/handle/123456789/6382
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. © 2023 by the authors.
T2  - Plants
T2  - Plants
T1  - Multivariate Interaction Analysis of Zea mays L. Genotypes Growth Productivity in Different Environmental Conditions
IS  - 11
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. © 2023 by the authors.",
journal = "Plants, Plants",
title = "Multivariate Interaction Analysis of Zea mays L. Genotypes Growth Productivity in Different Environmental Conditions",
number = "11",
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, 12(11).
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. 2023;12(11).
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, 12, no. 11 (2023),
https://doi.org/10.3390/plants12112165 . .
1

Buckwheat yield traits response as influenced by row spacing, nitrogen, phosphorus, and potassium management

Kolarić, Ljubiša; Popović, Vera; Živanović, Ljubiša; Ljubičić, Nataša; Stevanović, Petar; Šarčević Todosijević, Ljubica; Simić, Divna; Ikanović, Jela

(MDPI, 2021)

TY  - JOUR
AU  - Kolarić, Ljubiša
AU  - Popović, Vera
AU  - Živanović, Ljubiša
AU  - Ljubičić, Nataša
AU  - Stevanović, Petar
AU  - Šarčević Todosijević, Ljubica
AU  - Simić, Divna
AU  - Ikanović, Jela
PY  - 2021
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5973
AB  - Buckwheat is an economically important gluten free cereal, and it is a good source of protein, fiber, and energy. The field experiments with buckwheat variety “Novosadska” were set in two experimental years in Pancevo, Serbia. The aim of this study was to determine the most optimal technology for buckwheat production. The study aims were to investigate the effects of (1) row spacing: RS1-25 cm and RS2-50 cm; (2) nutrition variants: (N1) 0 kg ha−1 NPK; (N2) NPK 30 kg ha−1; (N3) NPK 60 kg ha−1; and (N4) NPK 90 kg ha−1; (3) environment: Y1-2018 and Y2-2019; and their interactions on the plant height (PH), number of lateral branches (NoLB), mass of seeds per plant (MSP), number of seeds per plant (NoSP), buckwheat grain yield (GY); and (4) the correlations among these traits. All tested parameters of buckwheat significantly varied across row spacing, environment, and nutrition. The average grain yield in the row spacing, RD1-25 cm, was significantly higher than in the wider spacing, RD2-50 cm, and in 2018 than 2019 as well as with the nutrition NPK applied in the amount of 90 kg ha−1 in relation with all the other nutrition variants. All the studied agronomic traits were positively and strongly correlated with GY.
PB  - MDPI
T2  - Agronomy
T1  - Buckwheat yield traits response as influenced by row spacing, nitrogen, phosphorus, and potassium management
IS  - 12
VL  - 11
DO  - 10.3390/agronomy11122371
ER  - 
@article{
author = "Kolarić, Ljubiša and Popović, Vera and Živanović, Ljubiša and Ljubičić, Nataša and Stevanović, Petar and Šarčević Todosijević, Ljubica and Simić, Divna and Ikanović, Jela",
year = "2021",
abstract = "Buckwheat is an economically important gluten free cereal, and it is a good source of protein, fiber, and energy. The field experiments with buckwheat variety “Novosadska” were set in two experimental years in Pancevo, Serbia. The aim of this study was to determine the most optimal technology for buckwheat production. The study aims were to investigate the effects of (1) row spacing: RS1-25 cm and RS2-50 cm; (2) nutrition variants: (N1) 0 kg ha−1 NPK; (N2) NPK 30 kg ha−1; (N3) NPK 60 kg ha−1; and (N4) NPK 90 kg ha−1; (3) environment: Y1-2018 and Y2-2019; and their interactions on the plant height (PH), number of lateral branches (NoLB), mass of seeds per plant (MSP), number of seeds per plant (NoSP), buckwheat grain yield (GY); and (4) the correlations among these traits. All tested parameters of buckwheat significantly varied across row spacing, environment, and nutrition. The average grain yield in the row spacing, RD1-25 cm, was significantly higher than in the wider spacing, RD2-50 cm, and in 2018 than 2019 as well as with the nutrition NPK applied in the amount of 90 kg ha−1 in relation with all the other nutrition variants. All the studied agronomic traits were positively and strongly correlated with GY.",
publisher = "MDPI",
journal = "Agronomy",
title = "Buckwheat yield traits response as influenced by row spacing, nitrogen, phosphorus, and potassium management",
number = "12",
volume = "11",
doi = "10.3390/agronomy11122371"
}
Kolarić, L., Popović, V., Živanović, L., Ljubičić, N., Stevanović, P., Šarčević Todosijević, L., Simić, D.,& Ikanović, J.. (2021). Buckwheat yield traits response as influenced by row spacing, nitrogen, phosphorus, and potassium management. in Agronomy
MDPI., 11(12).
https://doi.org/10.3390/agronomy11122371
Kolarić L, Popović V, Živanović L, Ljubičić N, Stevanović P, Šarčević Todosijević L, Simić D, Ikanović J. Buckwheat yield traits response as influenced by row spacing, nitrogen, phosphorus, and potassium management. in Agronomy. 2021;11(12).
doi:10.3390/agronomy11122371 .
Kolarić, Ljubiša, Popović, Vera, Živanović, Ljubiša, Ljubičić, Nataša, Stevanović, Petar, Šarčević Todosijević, Ljubica, Simić, Divna, Ikanović, Jela, "Buckwheat yield traits response as influenced by row spacing, nitrogen, phosphorus, and potassium management" in Agronomy, 11, no. 12 (2021),
https://doi.org/10.3390/agronomy11122371 . .
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