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  - Stanković, Mira
AU  - Prokopijević, Miloš
AU  - Šikoparija, Branko
AU  - Nedić, Nebojša
AU  - Andrić, Filip
AU  - Polović, Natalija
AU  - Natić, Maja
AU  - Radotić, Ksenija
PY  - 2023
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6287
AB  - Varroa destructor is a parasitic mite responsible for the loss of honey bee (Apis mellifera) colonies. This study aimed to find a promising marker in honey for the bee colony infestation level using fluorescence spectroscopy and biochemical analyses. We examined whether the parameters of the honey samples’ fluorescence spectra and biochemical parameters, both related to proteins and phenolics, may be connected with the level of honey bee colonies’ infestation. The infestation level was highly positively correlated with the catalase activity in honey (r = 0.936). Additionally, the infestation level was positively correlated with the phenolic spectral component (r = 0.656), which was tentatively related to the phenolics in honey. No correlation was found between the diastase activity in honey and the colonies’ infestation level. The results indicate that the catalase activity in honey and the PFC1 spectral component may be reliable markers for the V. destructor infestation level of the colonies. The obtained data may be related to the honey yield obtained from the apiaries. © 2023 by the authors.
T2  - Foods
T2  - Foods
T1  - Using Front-Face Fluorescence Spectroscopy and Biochemical Analysis of Honey to Assess a Marker for the Level of Varroa destructor Infestation of Honey Bee (Apis mellifera) Colonies
IS  - 3
VL  - 12
DO  - 10.3390/foods12030629
ER  - 

@article{
author = "Stanković, Mira and Prokopijević, Miloš and Šikoparija, Branko and Nedić, Nebojša and Andrić, Filip and Polović, Natalija and Natić, Maja and Radotić, Ksenija",
year = "2023",
abstract = "Varroa destructor is a parasitic mite responsible for the loss of honey bee (Apis mellifera) colonies. This study aimed to find a promising marker in honey for the bee colony infestation level using fluorescence spectroscopy and biochemical analyses. We examined whether the parameters of the honey samples’ fluorescence spectra and biochemical parameters, both related to proteins and phenolics, may be connected with the level of honey bee colonies’ infestation. The infestation level was highly positively correlated with the catalase activity in honey (r = 0.936). Additionally, the infestation level was positively correlated with the phenolic spectral component (r = 0.656), which was tentatively related to the phenolics in honey. No correlation was found between the diastase activity in honey and the colonies’ infestation level. The results indicate that the catalase activity in honey and the PFC1 spectral component may be reliable markers for the V. destructor infestation level of the colonies. The obtained data may be related to the honey yield obtained from the apiaries. © 2023 by the authors.",
journal = "Foods, Foods",
title = "Using Front-Face Fluorescence Spectroscopy and Biochemical Analysis of Honey to Assess a Marker for the Level of Varroa destructor Infestation of Honey Bee (Apis mellifera) Colonies",
number = "3",
volume = "12",
doi = "10.3390/foods12030629"
}

Stanković, M., Prokopijević, M., Šikoparija, B., Nedić, N., Andrić, F., Polović, N., Natić, M.,& Radotić, K.. (2023). Using Front-Face Fluorescence Spectroscopy and Biochemical Analysis of Honey to Assess a Marker for the Level of Varroa destructor Infestation of Honey Bee (Apis mellifera) Colonies. in Foods, 12(3).
https://doi.org/10.3390/foods12030629

Stanković M, Prokopijević M, Šikoparija B, Nedić N, Andrić F, Polović N, Natić M, Radotić K. Using Front-Face Fluorescence Spectroscopy and Biochemical Analysis of Honey to Assess a Marker for the Level of Varroa destructor Infestation of Honey Bee (Apis mellifera) Colonies. in Foods. 2023;12(3).
doi:10.3390/foods12030629 .

Stanković, Mira, Prokopijević, Miloš, Šikoparija, Branko, Nedić, Nebojša, Andrić, Filip, Polović, Natalija, Natić, Maja, Radotić, Ksenija, "Using Front-Face Fluorescence Spectroscopy and Biochemical Analysis of Honey to Assess a Marker for the Level of Varroa destructor Infestation of Honey Bee (Apis mellifera) Colonies" in Foods, 12, no. 3 (2023),
https://doi.org/10.3390/foods12030629 . .