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 . .

TY  - JOUR
AU  - Božović, Dragan
AU  - Popović, Vera
AU  - Rajicić, Vera
AU  - Kostić, Marko
AU  - Filipović, Vladimir
AU  - Kolarić, Ljubiša
AU  - Ugrenović, Vladan
AU  - Spalević, Velibor
PY  - 2020
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5288
AB  - 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 number of rows of grains performance in different growing seasons. The trials conducted with seven maize lines/genotypes, four treatments, two years and at the two locations. The results showed that the influence of genotype (G), year (Y), locality (L), and GxL, GxT, GxLxT, GxYxT, GxYxLxT interaction on maize number of rows of grains were significant (p lt 0.01). The genotype share in the total phenotypic variance for the grains number rows of was 53.50%, and the interaction was 21.15%. 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 squares of the interaction GxL. The first PC1 axis belongs to all 100%, which points to the significance of the genotype in the total variation and significance of the genotype for overall interaction with other observed sources of variability. The highest stability in terms of expression of the grains number of rows had the genotype L-6, followed by the genotypes L-4, L-5 and L-3. The lowest stability was demonstrated by the genotypes L-2 and L-1, which confirmed that these genotypes are not important for further selection in terms of this trait.
PB  - Univ Agr Sci & Veterinary Med Cluj-Napoca, Cluj-Napoca
T2  - NOTULAE BOTANICAE HORTI AGROBOTANICI CLUJ-NAPOCA
T1  - Stability of the expression of the maize productivity parameters by AMMI models and GGE-biplot analysis
EP  - 1397
IS  - 3
SP  - 1387
VL  - 48
DO  - 10.15835/nbha48312058
ER  - 

@article{
author = "Božović, Dragan and Popović, Vera and Rajicić, Vera and Kostić, Marko and Filipović, Vladimir and Kolarić, Ljubiša and Ugrenović, Vladan and Spalević, Velibor",
year = "2020",
abstract = "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 number of rows of grains performance in different growing seasons. The trials conducted with seven maize lines/genotypes, four treatments, two years and at the two locations. The results showed that the influence of genotype (G), year (Y), locality (L), and GxL, GxT, GxLxT, GxYxT, GxYxLxT interaction on maize number of rows of grains were significant (p lt 0.01). The genotype share in the total phenotypic variance for the grains number rows of was 53.50%, and the interaction was 21.15%. 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 squares of the interaction GxL. The first PC1 axis belongs to all 100%, which points to the significance of the genotype in the total variation and significance of the genotype for overall interaction with other observed sources of variability. The highest stability in terms of expression of the grains number of rows had the genotype L-6, followed by the genotypes L-4, L-5 and L-3. The lowest stability was demonstrated by the genotypes L-2 and L-1, which confirmed that these genotypes are not important for further selection in terms of this trait.",
publisher = "Univ Agr Sci & Veterinary Med Cluj-Napoca, Cluj-Napoca",
journal = "NOTULAE BOTANICAE HORTI AGROBOTANICI CLUJ-NAPOCA",
title = "Stability of the expression of the maize productivity parameters by AMMI models and GGE-biplot analysis",
pages = "1397-1387",
number = "3",
volume = "48",
doi = "10.15835/nbha48312058"
}

Božović, D., Popović, V., Rajicić, V., Kostić, M., Filipović, V., Kolarić, L., Ugrenović, V.,& Spalević, V.. (2020). Stability of the expression of the maize productivity parameters by AMMI models and GGE-biplot analysis. in NOTULAE BOTANICAE HORTI AGROBOTANICI CLUJ-NAPOCA
Univ Agr Sci & Veterinary Med Cluj-Napoca, Cluj-Napoca., 48(3), 1387-1397.
https://doi.org/10.15835/nbha48312058

Božović D, Popović V, Rajicić V, Kostić M, Filipović V, Kolarić L, Ugrenović V, Spalević V. Stability of the expression of the maize productivity parameters by AMMI models and GGE-biplot analysis. in NOTULAE BOTANICAE HORTI AGROBOTANICI CLUJ-NAPOCA. 2020;48(3):1387-1397.
doi:10.15835/nbha48312058 .

Božović, Dragan, Popović, Vera, Rajicić, Vera, Kostić, Marko, Filipović, Vladimir, Kolarić, Ljubiša, Ugrenović, Vladan, Spalević, Velibor, "Stability of the expression of the maize productivity parameters by AMMI models and GGE-biplot analysis" in NOTULAE BOTANICAE HORTI AGROBOTANICI CLUJ-NAPOCA, 48, no. 3 (2020):1387-1397,
https://doi.org/10.15835/nbha48312058 . .

TY  - JOUR
AU  - Rajković, Milos
AU  - Malidža, Goran
AU  - Stepanović, Strahinja
AU  - Kostić, Marko
AU  - Petrović, Kristina
AU  - Urošević, Mirko
AU  - Vrbničanin, Sava
PY  - 2020
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5406
AB  - The main objective of this study was to identify optimal burner orientation for a newly designed flame cultivator by quantifying the flame temperature distributions of cross, back, and parallel position of burners at different heights of the soybean canopy (distance from the soil surface). Flame temperatures were measured within-row for three burner orientations at seven propane doses (20-100 kg/ha) and eight different canopy heights (0-18 cm above soil surface). Soybean plants in V3 growth stage were flamed with the same doses and burner orientations, and 28 days after treatment (DAT) crop injury (0%-100%), plant height (cm), dry matter (g) and grain yield (t/ha) were assessed. All three burner orientations had high flame temperatures at lower canopy heights ( lt 6 cm high) that gradually decreased with increasing canopy height (6-18 cm). Measured temperatures ranged from 33 to 234 ? for cross flaming, 29 to 269 ? for back flaming and 23 to 155 ? for parallel flaming, with high variability in temperature patterns. Back flaming generated flame temperatures above 100? at a lower propane dose (27 kg/ha) compared to cross and parallel flaming (40 and 50 kg/ha). For all tested parameters, parallel and cross flaming had better impact on soybeans than back flaming, but for weed control in crop rows, cross flaming is recommended.
PB  - MDPI, BASEL
T2  - Agronomy-Basel
T1  - Influence of Burner Position on Temperature Distribution in Soybean Flaming
IS  - 3
VL  - 10
DO  - 10.3390/agronomy10030391
ER  - 

@article{
author = "Rajković, Milos and Malidža, Goran and Stepanović, Strahinja and Kostić, Marko and Petrović, Kristina and Urošević, Mirko and Vrbničanin, Sava",
year = "2020",
abstract = "The main objective of this study was to identify optimal burner orientation for a newly designed flame cultivator by quantifying the flame temperature distributions of cross, back, and parallel position of burners at different heights of the soybean canopy (distance from the soil surface). Flame temperatures were measured within-row for three burner orientations at seven propane doses (20-100 kg/ha) and eight different canopy heights (0-18 cm above soil surface). Soybean plants in V3 growth stage were flamed with the same doses and burner orientations, and 28 days after treatment (DAT) crop injury (0%-100%), plant height (cm), dry matter (g) and grain yield (t/ha) were assessed. All three burner orientations had high flame temperatures at lower canopy heights ( lt 6 cm high) that gradually decreased with increasing canopy height (6-18 cm). Measured temperatures ranged from 33 to 234 ? for cross flaming, 29 to 269 ? for back flaming and 23 to 155 ? for parallel flaming, with high variability in temperature patterns. Back flaming generated flame temperatures above 100? at a lower propane dose (27 kg/ha) compared to cross and parallel flaming (40 and 50 kg/ha). For all tested parameters, parallel and cross flaming had better impact on soybeans than back flaming, but for weed control in crop rows, cross flaming is recommended.",
publisher = "MDPI, BASEL",
journal = "Agronomy-Basel",
title = "Influence of Burner Position on Temperature Distribution in Soybean Flaming",
number = "3",
volume = "10",
doi = "10.3390/agronomy10030391"
}

Rajković, M., Malidža, G., Stepanović, S., Kostić, M., Petrović, K., Urošević, M.,& Vrbničanin, S.. (2020). Influence of Burner Position on Temperature Distribution in Soybean Flaming. in Agronomy-Basel
MDPI, BASEL., 10(3).
https://doi.org/10.3390/agronomy10030391

Rajković M, Malidža G, Stepanović S, Kostić M, Petrović K, Urošević M, Vrbničanin S. Influence of Burner Position on Temperature Distribution in Soybean Flaming. in Agronomy-Basel. 2020;10(3).
doi:10.3390/agronomy10030391 .

Rajković, Milos, Malidža, Goran, Stepanović, Strahinja, Kostić, Marko, Petrović, Kristina, Urošević, Mirko, Vrbničanin, Sava, "Influence of Burner Position on Temperature Distribution in Soybean Flaming" in Agronomy-Basel, 10, no. 3 (2020),
https://doi.org/10.3390/agronomy10030391 . .