TY  - JOUR
AU  - Djalović, Ivica
AU  - Mitrović, Petar
AU  - Trivan, Goran
AU  - Jelušić, Aleksandra
AU  - Pezo, Lato
AU  - Janić Hajnal, Elizabet
AU  - Popović Milovanović, Tatjana
PY  - 2024
UR  - http://rimsi.imsi.bg.ac.rs/handle/123456789/3208
AB  - Infections with phytoplasma present one of the most significant biotic stresses influencing
plant health, growth, and production. The phytoplasma ‘Candidatus Phytoplasma solani’ infects
a variety of plant species. This pathogen impacts the physiological and morphological characteristics of plants causing stunting, yellowing, leaf curling, and other symptoms that can lead to significant economic losses. The aim of this study was to determine biochemical changes in peony (Paeonia tenuifolia L.), mint (Mentha × piperita L.), and dill (Anethum graveolens L.) induced by ‘Ca. Phytoplasma solani’ in Serbia as well as to predict the impact of the biotic stress using artificial neural network (ANN) modeling. The phylogenetic position of the Serbian ‘Ca. Phytoplasma solani’ strains originated from the tested hosts using 16S rRNA (peony and carrot strains) and plsC (mint and dill strains) sequences indicated by their genetic homogeneity despite the host of origin. Biochemical parameters significantly differed in asymptomatic and symptomatic plants, except for total anthocyanidins contents in dill and the capacity of peony and mint extracts to neutralize superoxide anions and hydroxyl radicals, respectively. Principal Component Analysis (PCA) showed a correlation between different chemical parameters and revealed a clear separation among the samples. Based on the ANN performance, the optimal number of hidden neurons for the calculation of TS, RG, PAL, LP, NBT, •OH, TP, TT, Tflav, Tpro, Tant, DPPH, and Car was nine (using MLP 8-9-13), as it produced high r2 values (1.000 during the training period) and low SOS values. Developing an effective early warning system for the detection of plant diseases in different plant species is critical for improving crop yield and quality.
PB  - MDPI
T2  - Horticulturae
T1  - The Effect of Biotic Stress in Plant Species Induced by ‘Candidatus Phytoplasma solani’—An Artificial Neural Network Approach
IS  - 5
SP  - 426
VL  - 10
DO  - 10.3390/horticulturae10050426
ER  - 

@article{
author = "Djalović, Ivica and Mitrović, Petar and Trivan, Goran and Jelušić, Aleksandra and Pezo, Lato and Janić Hajnal, Elizabet and Popović Milovanović, Tatjana",
year = "2024",
abstract = "Infections with phytoplasma present one of the most significant biotic stresses influencing
plant health, growth, and production. The phytoplasma ‘Candidatus Phytoplasma solani’ infects
a variety of plant species. This pathogen impacts the physiological and morphological characteristics of plants causing stunting, yellowing, leaf curling, and other symptoms that can lead to significant economic losses. The aim of this study was to determine biochemical changes in peony (Paeonia tenuifolia L.), mint (Mentha × piperita L.), and dill (Anethum graveolens L.) induced by ‘Ca. Phytoplasma solani’ in Serbia as well as to predict the impact of the biotic stress using artificial neural network (ANN) modeling. The phylogenetic position of the Serbian ‘Ca. Phytoplasma solani’ strains originated from the tested hosts using 16S rRNA (peony and carrot strains) and plsC (mint and dill strains) sequences indicated by their genetic homogeneity despite the host of origin. Biochemical parameters significantly differed in asymptomatic and symptomatic plants, except for total anthocyanidins contents in dill and the capacity of peony and mint extracts to neutralize superoxide anions and hydroxyl radicals, respectively. Principal Component Analysis (PCA) showed a correlation between different chemical parameters and revealed a clear separation among the samples. Based on the ANN performance, the optimal number of hidden neurons for the calculation of TS, RG, PAL, LP, NBT, •OH, TP, TT, Tflav, Tpro, Tant, DPPH, and Car was nine (using MLP 8-9-13), as it produced high r2 values (1.000 during the training period) and low SOS values. Developing an effective early warning system for the detection of plant diseases in different plant species is critical for improving crop yield and quality.",
publisher = "MDPI",
journal = "Horticulturae",
title = "The Effect of Biotic Stress in Plant Species Induced by ‘Candidatus Phytoplasma solani’—An Artificial Neural Network Approach",
number = "5",
pages = "426",
volume = "10",
doi = "10.3390/horticulturae10050426"
}

Djalović, I., Mitrović, P., Trivan, G., Jelušić, A., Pezo, L., Janić Hajnal, E.,& Popović Milovanović, T.. (2024). The Effect of Biotic Stress in Plant Species Induced by ‘Candidatus Phytoplasma solani’—An Artificial Neural Network Approach. in Horticulturae
MDPI., 10(5), 426.
https://doi.org/10.3390/horticulturae10050426

Djalović I, Mitrović P, Trivan G, Jelušić A, Pezo L, Janić Hajnal E, Popović Milovanović T. The Effect of Biotic Stress in Plant Species Induced by ‘Candidatus Phytoplasma solani’—An Artificial Neural Network Approach. in Horticulturae. 2024;10(5):426.
doi:10.3390/horticulturae10050426 .

Djalović, Ivica, Mitrović, Petar, Trivan, Goran, Jelušić, Aleksandra, Pezo, Lato, Janić Hajnal, Elizabet, Popović Milovanović, Tatjana, "The Effect of Biotic Stress in Plant Species Induced by ‘Candidatus Phytoplasma solani’—An Artificial Neural Network Approach" in Horticulturae, 10, no. 5 (2024):426,
https://doi.org/10.3390/horticulturae10050426 . .

TY  - JOUR
AU  - Simonović, Mladen
AU  - Simonović, Branislav R.
AU  - Ostojic, Sanja
AU  - Pezo, Lato
AU  - Micic, Darko
AU  - Stanisavljević, Nemanja
AU  - Pejin, Boris
PY  - 2019
UR  - http://rimsi.imsi.bg.ac.rs/handle/123456789/1219
AB  - This study aimed to estimate the quality (in terms of standard chemical parameters, total antioxidative activity /AO/ and thermal properties) of the fresh strawberry (Fragaria xananassa L. Duch.), raspberry (Rubus idaeus L.) and blackberry (Rubus fruticosusL.) samples grown in the Western Serbia. The examined blackberry variety was found to exhibit the most potent AO (DPPH /2,2-diphenyl-1-picrylhydrazyl/ assay, EC50 4.05 +/- 0.22 mu g and ARP 0.25 +/- 0.03 mu g(-1); Hydroxo-Perhydroxyl Mercury(II) Complex /HPMC/ assay, 0.072 +/- 0.007%/mu L), due to the enriched contents of both total phenolics and anthocyanins. It was actually followed by the raspberry and strawberry samples. Unlike the aforementioned trend for AO, thermal behaviour of all samples was similar. This is first time ever that a DC polarographic HPMC assay has been applied for the characterisation of the fresh berry fruits. Further studies aiming to screen total AO of the soft fruit during growth, storage and processing might be well facilitated by the application of this low cost, rapid, easy-to-handle and reliable electrochemical assay.
PB  - Elsevier, Amsterdam
T2  - Scientia Horticulturae
T1  - A contribution to the estimation of berry fruits quality
VL  - 258
DO  - 10.1016/j.scienta.2019.108776
ER  - 

@article{
author = "Simonović, Mladen and Simonović, Branislav R. and Ostojic, Sanja and Pezo, Lato and Micic, Darko and Stanisavljević, Nemanja and Pejin, Boris",
year = "2019",
abstract = "This study aimed to estimate the quality (in terms of standard chemical parameters, total antioxidative activity /AO/ and thermal properties) of the fresh strawberry (Fragaria xananassa L. Duch.), raspberry (Rubus idaeus L.) and blackberry (Rubus fruticosusL.) samples grown in the Western Serbia. The examined blackberry variety was found to exhibit the most potent AO (DPPH /2,2-diphenyl-1-picrylhydrazyl/ assay, EC50 4.05 +/- 0.22 mu g and ARP 0.25 +/- 0.03 mu g(-1); Hydroxo-Perhydroxyl Mercury(II) Complex /HPMC/ assay, 0.072 +/- 0.007%/mu L), due to the enriched contents of both total phenolics and anthocyanins. It was actually followed by the raspberry and strawberry samples. Unlike the aforementioned trend for AO, thermal behaviour of all samples was similar. This is first time ever that a DC polarographic HPMC assay has been applied for the characterisation of the fresh berry fruits. Further studies aiming to screen total AO of the soft fruit during growth, storage and processing might be well facilitated by the application of this low cost, rapid, easy-to-handle and reliable electrochemical assay.",
publisher = "Elsevier, Amsterdam",
journal = "Scientia Horticulturae",
title = "A contribution to the estimation of berry fruits quality",
volume = "258",
doi = "10.1016/j.scienta.2019.108776"
}

Simonović, M., Simonović, B. R., Ostojic, S., Pezo, L., Micic, D., Stanisavljević, N.,& Pejin, B.. (2019). A contribution to the estimation of berry fruits quality. in Scientia Horticulturae
Elsevier, Amsterdam., 258.
https://doi.org/10.1016/j.scienta.2019.108776

Simonović M, Simonović BR, Ostojic S, Pezo L, Micic D, Stanisavljević N, Pejin B. A contribution to the estimation of berry fruits quality. in Scientia Horticulturae. 2019;258.
doi:10.1016/j.scienta.2019.108776 .

Simonović, Mladen, Simonović, Branislav R., Ostojic, Sanja, Pezo, Lato, Micic, Darko, Stanisavljević, Nemanja, Pejin, Boris, "A contribution to the estimation of berry fruits quality" in Scientia Horticulturae, 258 (2019),
https://doi.org/10.1016/j.scienta.2019.108776 . .

TY  - JOUR
AU  - Đorđević, Neda O.
AU  - Todorović, Nevena
AU  - Novaković, Irena T.
AU  - Pezo, Lato
AU  - Pejin, Boris
AU  - Maras, Vesna
AU  - Tešević, Vele
AU  - Pajović, Snežana B.
PY  - 2018
UR  - http://rimsi.imsi.bg.ac.rs/handle/123456789/1155
AB  - Screens of antioxidant activity (AA) of various natural products have been a focus of the research community worldwide. This work aimed to differentiate selected samples of Merlot wines originated from Montenegro, with regard to phenolic profile and antioxidant capacity studied by survival rate, total sulfhydryl groups and activities of glutathione peroxidase (GPx), glutathione reductase and catalase in H2O2-stressed Saccharomyces cerevisiae cells. In this study, DPPH assay was also performed. Higher total phenolic content leads to an enhanced AA under both conditions. The same trend was observed for catechin and gallic acid, the most abundant phenolics in the examined wine samples. Finally, the findings of an Artificial Neural Network (ANN) model were in a good agreement (r(2) = 0.978) with the experimental data. All tested samples exhibited a protective effect in H2O2-stressed yeast cells. Pre-treatment with examined wines increased survival in H2O2-stressed cells and shifted antioxidative defense towards GPx-mediated defense. Finally, sensitivity analysis of obtained ANN model highlights the complexity of the impact that variations in the concentrations of specific phenolic components have on the antioxidant defense system.
PB  - MDPI, Basel
T2  - Molecules
T1  - Antioxidant Activity of Selected Polyphenolics in Yeast Cells: The Case Study of Montenegrin Merlot Wine
IS  - 8
VL  - 23
DO  - 10.3390/molecules23081971
ER  - 

@article{
author = "Đorđević, Neda O. and Todorović, Nevena and Novaković, Irena T. and Pezo, Lato and Pejin, Boris and Maras, Vesna and Tešević, Vele and Pajović, Snežana B.",
year = "2018",
abstract = "Screens of antioxidant activity (AA) of various natural products have been a focus of the research community worldwide. This work aimed to differentiate selected samples of Merlot wines originated from Montenegro, with regard to phenolic profile and antioxidant capacity studied by survival rate, total sulfhydryl groups and activities of glutathione peroxidase (GPx), glutathione reductase and catalase in H2O2-stressed Saccharomyces cerevisiae cells. In this study, DPPH assay was also performed. Higher total phenolic content leads to an enhanced AA under both conditions. The same trend was observed for catechin and gallic acid, the most abundant phenolics in the examined wine samples. Finally, the findings of an Artificial Neural Network (ANN) model were in a good agreement (r(2) = 0.978) with the experimental data. All tested samples exhibited a protective effect in H2O2-stressed yeast cells. Pre-treatment with examined wines increased survival in H2O2-stressed cells and shifted antioxidative defense towards GPx-mediated defense. Finally, sensitivity analysis of obtained ANN model highlights the complexity of the impact that variations in the concentrations of specific phenolic components have on the antioxidant defense system.",
publisher = "MDPI, Basel",
journal = "Molecules",
title = "Antioxidant Activity of Selected Polyphenolics in Yeast Cells: The Case Study of Montenegrin Merlot Wine",
number = "8",
volume = "23",
doi = "10.3390/molecules23081971"
}

Đorđević, N. O., Todorović, N., Novaković, I. T., Pezo, L., Pejin, B., Maras, V., Tešević, V.,& Pajović, S. B.. (2018). Antioxidant Activity of Selected Polyphenolics in Yeast Cells: The Case Study of Montenegrin Merlot Wine. in Molecules
MDPI, Basel., 23(8).
https://doi.org/10.3390/molecules23081971

Đorđević NO, Todorović N, Novaković IT, Pezo L, Pejin B, Maras V, Tešević V, Pajović SB. Antioxidant Activity of Selected Polyphenolics in Yeast Cells: The Case Study of Montenegrin Merlot Wine. in Molecules. 2018;23(8).
doi:10.3390/molecules23081971 .

Đorđević, Neda O., Todorović, Nevena, Novaković, Irena T., Pezo, Lato, Pejin, Boris, Maras, Vesna, Tešević, Vele, Pajović, Snežana B., "Antioxidant Activity of Selected Polyphenolics in Yeast Cells: The Case Study of Montenegrin Merlot Wine" in Molecules, 23, no. 8 (2018),
https://doi.org/10.3390/molecules23081971 . .