TY  - JOUR
AU  - Bratković, Kamenko
AU  - Luković, Kristina
AU  - Perišić, Vladimir
AU  - Savić, Jasna
AU  - Maksimović, Jelena
AU  - Adžić, Slađan
AU  - Rakonjac, Aleksandra
AU  - Matković Stojšin, Mirela
PY  - 2024
UR  - https://intam.institut-tamis.rs/handle/123456789/329
AB  - Genotype by environment interaction (GEI) is a complex problem that complicates the barley selection and breeding process. The knowledge of the relationship between cereal phenology and climatic data is important for understanding GEI and the physiological pathways responsible for the interaction effect. The grain yield of twenty winter barley genotypes in six environments was observed. Factors influencing the variability were analyzed using a linear mixed model. The partial least squares regression (PLSR) model was applied to determine the most relevant environmental variables in certain stages of development that explained GEI effects. Biplot with environmental variables explained 43.7% of the GEI. The barley was generally the most sensitive to the environmental conditions (relative humidity, maximum temperature and its variation, sun hours, and precipitation) during the anthesis and filling stage (May) which caused GEI. Temperature variables did not show significance only in the vegetative phase. Different genotypes responded differently to environmental factors. Genotypes NS-525, NS-589, and J-103 were highlighted as widely adaptable, and Zaječar was a suitable and reliable location for yield testing. The GEI information presented in this paper can be useful in traditional plant breeding and future breeding programs through molecular research of crop developmental genes and examination of physiological processes in two-row barley.
PB  - Basel, Switzerland : MDPI
T2  - Agronomy
T1  - Interpreting the interaction of genotype with environmental factors in barley using partial least squares regression model
EP  - 217
IS  - 1
SP  - 194
VL  - 14
DO  - 10.3390/agronomy14010194
ER  - 

@article{
author = "Bratković, Kamenko and Luković, Kristina and Perišić, Vladimir and Savić, Jasna and Maksimović, Jelena and Adžić, Slađan and Rakonjac, Aleksandra and Matković Stojšin, Mirela",
year = "2024",
abstract = "Genotype by environment interaction (GEI) is a complex problem that complicates the barley selection and breeding process. The knowledge of the relationship between cereal phenology and climatic data is important for understanding GEI and the physiological pathways responsible for the interaction effect. The grain yield of twenty winter barley genotypes in six environments was observed. Factors influencing the variability were analyzed using a linear mixed model. The partial least squares regression (PLSR) model was applied to determine the most relevant environmental variables in certain stages of development that explained GEI effects. Biplot with environmental variables explained 43.7% of the GEI. The barley was generally the most sensitive to the environmental conditions (relative humidity, maximum temperature and its variation, sun hours, and precipitation) during the anthesis and filling stage (May) which caused GEI. Temperature variables did not show significance only in the vegetative phase. Different genotypes responded differently to environmental factors. Genotypes NS-525, NS-589, and J-103 were highlighted as widely adaptable, and Zaječar was a suitable and reliable location for yield testing. The GEI information presented in this paper can be useful in traditional plant breeding and future breeding programs through molecular research of crop developmental genes and examination of physiological processes in two-row barley.",
publisher = "Basel, Switzerland : MDPI",
journal = "Agronomy",
title = "Interpreting the interaction of genotype with environmental factors in barley using partial least squares regression model",
pages = "217-194",
number = "1",
volume = "14",
doi = "10.3390/agronomy14010194"
}

Bratković, K., Luković, K., Perišić, V., Savić, J., Maksimović, J., Adžić, S., Rakonjac, A.,& Matković Stojšin, M.. (2024). Interpreting the interaction of genotype with environmental factors in barley using partial least squares regression model. in Agronomy
Basel, Switzerland : MDPI., 14(1), 194-217.
https://doi.org/10.3390/agronomy14010194

Bratković K, Luković K, Perišić V, Savić J, Maksimović J, Adžić S, Rakonjac A, Matković Stojšin M. Interpreting the interaction of genotype with environmental factors in barley using partial least squares regression model. in Agronomy. 2024;14(1):194-217.
doi:10.3390/agronomy14010194 .

Bratković, Kamenko, Luković, Kristina, Perišić, Vladimir, Savić, Jasna, Maksimović, Jelena, Adžić, Slađan, Rakonjac, Aleksandra, Matković Stojšin, Mirela, "Interpreting the interaction of genotype with environmental factors in barley using partial least squares regression model" in Agronomy, 14, no. 1 (2024):194-217,
https://doi.org/10.3390/agronomy14010194 . .

TY  - JOUR
AU  - Pivić, Radmila
AU  - Maksimović, Jelena
AU  - Dinić, Zoran
AU  - Jaramaz, Darko
AU  - Majstorović, Helena
AU  - Vidojević, Dragana
AU  - Stanojkovic-Sebić, Aleksandra
PY  - 2022
UR  - https://intam.institut-tamis.rs/handle/123456789/228
AB  - The assessment of the suitability and status of irrigation water quality from the aspect of its potential negative impact on soil salinization and mapping of spatial distribution within the area of the three Morava rivers, which includes the South, West, and Great Morava basins, was the purpose of this research. A total of 215 samples of irrigation water were tested, and their quality was evaluated based on the analysis of the following parameters: pH, electrical conductivity (EC), total dissolved salt (TDS), sodium adsorption ratio (SAR), and content of SO42-, Cl-, HCO3-, CO32-, Mg2+, Ca2+, Na+, and K+. The results showed that the average content of ions was as follows: Ca2+ > Mg2+ > Na+ > K+ and HCO3- > SO42- > Cl- > CO32-. The assessment of irrigation water suitability was determined by calculating the following indices: percentage sodium (Na %), residual sodium carbonate (RSC), permeability index (PI), magnesium hazard (MH), potential salinity (PS), Kelley's index (KI), total hardness (TH), irrigation water quality index (IWQI). Based on Wilcox's diagram, the USSL diagram, and the Doneen chart, it was concluded that most of the samples were suitable for irrigation. Using multivariate statistical techniques and correlation matrices in combination with other hydrogeochemical tools such as Piper's, Chadha's, and Gibbs diagrams, the main factors associated with hydrogeochemical variability were identified.
PB  - MDPI, Basel
T2  - Agronomy-Basel
T1  - Hydrochemical Assessment of Water Used for Agricultural Soil Irrigation in the Water Area of the Three Morava Rivers in the Republic of Serbia
IS  - 5
VL  - 12
DO  - 10.3390/agronomy12051177
UR  - conv_190
ER  - 

@article{
author = "Pivić, Radmila and Maksimović, Jelena and Dinić, Zoran and Jaramaz, Darko and Majstorović, Helena and Vidojević, Dragana and Stanojkovic-Sebić, Aleksandra",
year = "2022",
abstract = "The assessment of the suitability and status of irrigation water quality from the aspect of its potential negative impact on soil salinization and mapping of spatial distribution within the area of the three Morava rivers, which includes the South, West, and Great Morava basins, was the purpose of this research. A total of 215 samples of irrigation water were tested, and their quality was evaluated based on the analysis of the following parameters: pH, electrical conductivity (EC), total dissolved salt (TDS), sodium adsorption ratio (SAR), and content of SO42-, Cl-, HCO3-, CO32-, Mg2+, Ca2+, Na+, and K+. The results showed that the average content of ions was as follows: Ca2+ > Mg2+ > Na+ > K+ and HCO3- > SO42- > Cl- > CO32-. The assessment of irrigation water suitability was determined by calculating the following indices: percentage sodium (Na %), residual sodium carbonate (RSC), permeability index (PI), magnesium hazard (MH), potential salinity (PS), Kelley's index (KI), total hardness (TH), irrigation water quality index (IWQI). Based on Wilcox's diagram, the USSL diagram, and the Doneen chart, it was concluded that most of the samples were suitable for irrigation. Using multivariate statistical techniques and correlation matrices in combination with other hydrogeochemical tools such as Piper's, Chadha's, and Gibbs diagrams, the main factors associated with hydrogeochemical variability were identified.",
publisher = "MDPI, Basel",
journal = "Agronomy-Basel",
title = "Hydrochemical Assessment of Water Used for Agricultural Soil Irrigation in the Water Area of the Three Morava Rivers in the Republic of Serbia",
number = "5",
volume = "12",
doi = "10.3390/agronomy12051177",
url = "conv_190"
}

Pivić, R., Maksimović, J., Dinić, Z., Jaramaz, D., Majstorović, H., Vidojević, D.,& Stanojkovic-Sebić, A.. (2022). Hydrochemical Assessment of Water Used for Agricultural Soil Irrigation in the Water Area of the Three Morava Rivers in the Republic of Serbia. in Agronomy-Basel
MDPI, Basel., 12(5).
https://doi.org/10.3390/agronomy12051177
conv_190

Pivić R, Maksimović J, Dinić Z, Jaramaz D, Majstorović H, Vidojević D, Stanojkovic-Sebić A. Hydrochemical Assessment of Water Used for Agricultural Soil Irrigation in the Water Area of the Three Morava Rivers in the Republic of Serbia. in Agronomy-Basel. 2022;12(5).
doi:10.3390/agronomy12051177
conv_190 .

Pivić, Radmila, Maksimović, Jelena, Dinić, Zoran, Jaramaz, Darko, Majstorović, Helena, Vidojević, Dragana, Stanojkovic-Sebić, Aleksandra, "Hydrochemical Assessment of Water Used for Agricultural Soil Irrigation in the Water Area of the Three Morava Rivers in the Republic of Serbia" in Agronomy-Basel, 12, no. 5 (2022),
https://doi.org/10.3390/agronomy12051177 .,
conv_190 .