TY  - JOUR
AU  - Lazarević, Jovan
AU  - Aćimović, Milica
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Konstantinović, Bojan
AU  - Popov, Milena
AU  - Šovljanski, Olja
AU  - Travičić, Vanja
AU  - Sikora, Vladimir
AU  - Vujisić, Ljubodrag
PY  - 2024
UR  - http://fiver.ifvcns.rs/handle/123456789/4282
AB  - The purpose of this study was to obtain additional value of hydrolates (HYs), by-products during essential oil distillation. Chemical compositions of angelica and hop hydrolates were determined and compared with the corresponding essential oils, and their biological potential tested. Steam distilled essential oils and hydrolates were analyzed by GC-MS, and their biological potential was tested for antioxidant (DPPH, ABTS and reduction power) and antimicrobial activities (against nine bacteria and fungi). Hydrolates were additionally tested for allelopathic activity (on corn and redroot pigweed). The investigated essential oils have totally different volatile profiles and aromas in comparison to hydrolates. The most dominant constituents in the angelica essential oil were limonene, β-phellandrene, α-pinene, α-phellandrene and δ-3-carene, while in the hydrolate it was trans-verbenol. In the hop essential oil the most dominant constituents were myrcene and α-humulene, while in the hydrolate isovaleric acid and linalool were dominant. Angelica essential oil showed higher antioxidant activity in comparison with hop, while hydrolates displayed significantly lower antioxidant activity. Low antimicrobial potential of both essential oils was observed in the case of Enterococcus faecalis, Escherichia coli, Saccharomyces cerevisiae and Candida albicans. Antimicrobial activity was not detected in neither of the two hydrolates. In terms of allelopathic activity, hydrolates showed a dose-dependent decreasing activity on germination and seedling growth of corn and redroot pigweed. Angelica and hop essential oils are mainly used in food, cosmetic and pharmaceutical industries because of their aroma. Hydrolates, as by-products, possess potential for application in agriculture as natural herbicides.
PB  - Springer
T2  - Waste and Biomass Valorization
T1  - Chemical Composition and In Vitro Biological Activity of Angelica Root and Hop Strobile Essential Oils and Hydrolates
EP  - 883
SP  - 867
VL  - 15
DO  - 10.1007/s12649-023-02209-1
ER  - 

@article{
author = "Lazarević, Jovan and Aćimović, Milica and Pezo, Lato and Lončar, Biljana and Konstantinović, Bojan and Popov, Milena and Šovljanski, Olja and Travičić, Vanja and Sikora, Vladimir and Vujisić, Ljubodrag",
year = "2024",
abstract = "The purpose of this study was to obtain additional value of hydrolates (HYs), by-products during essential oil distillation. Chemical compositions of angelica and hop hydrolates were determined and compared with the corresponding essential oils, and their biological potential tested. Steam distilled essential oils and hydrolates were analyzed by GC-MS, and their biological potential was tested for antioxidant (DPPH, ABTS and reduction power) and antimicrobial activities (against nine bacteria and fungi). Hydrolates were additionally tested for allelopathic activity (on corn and redroot pigweed). The investigated essential oils have totally different volatile profiles and aromas in comparison to hydrolates. The most dominant constituents in the angelica essential oil were limonene, β-phellandrene, α-pinene, α-phellandrene and δ-3-carene, while in the hydrolate it was trans-verbenol. In the hop essential oil the most dominant constituents were myrcene and α-humulene, while in the hydrolate isovaleric acid and linalool were dominant. Angelica essential oil showed higher antioxidant activity in comparison with hop, while hydrolates displayed significantly lower antioxidant activity. Low antimicrobial potential of both essential oils was observed in the case of Enterococcus faecalis, Escherichia coli, Saccharomyces cerevisiae and Candida albicans. Antimicrobial activity was not detected in neither of the two hydrolates. In terms of allelopathic activity, hydrolates showed a dose-dependent decreasing activity on germination and seedling growth of corn and redroot pigweed. Angelica and hop essential oils are mainly used in food, cosmetic and pharmaceutical industries because of their aroma. Hydrolates, as by-products, possess potential for application in agriculture as natural herbicides.",
publisher = "Springer",
journal = "Waste and Biomass Valorization",
title = "Chemical Composition and In Vitro Biological Activity of Angelica Root and Hop Strobile Essential Oils and Hydrolates",
pages = "883-867",
volume = "15",
doi = "10.1007/s12649-023-02209-1"
}

Lazarević, J., Aćimović, M., Pezo, L., Lončar, B., Konstantinović, B., Popov, M., Šovljanski, O., Travičić, V., Sikora, V.,& Vujisić, L.. (2024). Chemical Composition and In Vitro Biological Activity of Angelica Root and Hop Strobile Essential Oils and Hydrolates. in Waste and Biomass Valorization
Springer., 15, 867-883.
https://doi.org/10.1007/s12649-023-02209-1

Lazarević J, Aćimović M, Pezo L, Lončar B, Konstantinović B, Popov M, Šovljanski O, Travičić V, Sikora V, Vujisić L. Chemical Composition and In Vitro Biological Activity of Angelica Root and Hop Strobile Essential Oils and Hydrolates. in Waste and Biomass Valorization. 2024;15:867-883.
doi:10.1007/s12649-023-02209-1 .

Lazarević, Jovan, Aćimović, Milica, Pezo, Lato, Lončar, Biljana, Konstantinović, Bojan, Popov, Milena, Šovljanski, Olja, Travičić, Vanja, Sikora, Vladimir, Vujisić, Ljubodrag, "Chemical Composition and In Vitro Biological Activity of Angelica Root and Hop Strobile Essential Oils and Hydrolates" in Waste and Biomass Valorization, 15 (2024):867-883,
https://doi.org/10.1007/s12649-023-02209-1 . .

TY  - JOUR
AU  - Đalović, 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://fiver.ifvcns.rs/handle/123456789/4548
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  - Basel : 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 = "Đalović, 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 = "Basel : 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"
}

Đalović, 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
Basel : MDPI., 10(5), 426.
https://doi.org/10.3390/horticulturae10050426

Đalović 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 .

Đalović, 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  - Miljković, Ana
AU  - Aćimović, Milica
AU  - Božanić Tanjga, Biljana
AU  - Lončar, Biljana
AU  - Raičević, Vidak
AU  - Šovljanski, Olja
AU  - Travičić, Vanja
AU  - Pezo, Milada
AU  - Pezo, Lato
PY  - 2024
UR  - http://fiver.ifvcns.rs/handle/123456789/4481
AB  - The purpose of this systematic overview is to establish the impact of inhalation and topical application of Rosa damascena essential oil in aromatherapy practice. A bibliometric analysis using the different scientific databases was conducted to examine scientific documents related to “rose aromatherapy” and “Rosa damascena aromatherapy”. Microsoft Excel and VOSviewer software were used to extract and visualize information. Founded on a review of 93 papers, the scent of rose essential oil has applications in aromatherapy for reducing anxiety, alleviating pain, improving sleep quality, as well as alleviating physiological symptoms during menopause and PMS. It aids in mitigating stress and reducing stress and reducing depression and fatigue, for relaxation and improving cognitive function, among other benefits. Ultimately, rose essential oil is safe and suitable for self-administration via inhalation or topical application, either alone or with other essential oils.
PB  - Novi Sad : Univerzitet Privredna akademija, Fakultet za ekonomiju i inženjerski menadžment
T2  - Journal of Agronomy, Technology and Engineering Management (JATEM)
T1  - Inhalation and Topical Application of Rose Essential  Oil – A Systematic Overview of Rosa damascena Aromatherapy
EP  - 1020
IS  - 1
SP  - 998
VL  - 7
DO  - 10.55817/ASIJ6404
ER  - 

@article{
author = "Miljković, Ana and Aćimović, Milica and Božanić Tanjga, Biljana and Lončar, Biljana and Raičević, Vidak and Šovljanski, Olja and Travičić, Vanja and Pezo, Milada and Pezo, Lato",
year = "2024",
abstract = "The purpose of this systematic overview is to establish the impact of inhalation and topical application of Rosa damascena essential oil in aromatherapy practice. A bibliometric analysis using the different scientific databases was conducted to examine scientific documents related to “rose aromatherapy” and “Rosa damascena aromatherapy”. Microsoft Excel and VOSviewer software were used to extract and visualize information. Founded on a review of 93 papers, the scent of rose essential oil has applications in aromatherapy for reducing anxiety, alleviating pain, improving sleep quality, as well as alleviating physiological symptoms during menopause and PMS. It aids in mitigating stress and reducing stress and reducing depression and fatigue, for relaxation and improving cognitive function, among other benefits. Ultimately, rose essential oil is safe and suitable for self-administration via inhalation or topical application, either alone or with other essential oils.",
publisher = "Novi Sad : Univerzitet Privredna akademija, Fakultet za ekonomiju i inženjerski menadžment",
journal = "Journal of Agronomy, Technology and Engineering Management (JATEM)",
title = "Inhalation and Topical Application of Rose Essential  Oil – A Systematic Overview of Rosa damascena Aromatherapy",
pages = "1020-998",
number = "1",
volume = "7",
doi = "10.55817/ASIJ6404"
}

Miljković, A., Aćimović, M., Božanić Tanjga, B., Lončar, B., Raičević, V., Šovljanski, O., Travičić, V., Pezo, M.,& Pezo, L.. (2024). Inhalation and Topical Application of Rose Essential  Oil – A Systematic Overview of Rosa damascena Aromatherapy. in Journal of Agronomy, Technology and Engineering Management (JATEM)
Novi Sad : Univerzitet Privredna akademija, Fakultet za ekonomiju i inženjerski menadžment., 7(1), 998-1020.
https://doi.org/10.55817/ASIJ6404

Miljković A, Aćimović M, Božanić Tanjga B, Lončar B, Raičević V, Šovljanski O, Travičić V, Pezo M, Pezo L. Inhalation and Topical Application of Rose Essential  Oil – A Systematic Overview of Rosa damascena Aromatherapy. in Journal of Agronomy, Technology and Engineering Management (JATEM). 2024;7(1):998-1020.
doi:10.55817/ASIJ6404 .

Miljković, Ana, Aćimović, Milica, Božanić Tanjga, Biljana, Lončar, Biljana, Raičević, Vidak, Šovljanski, Olja, Travičić, Vanja, Pezo, Milada, Pezo, Lato, "Inhalation and Topical Application of Rose Essential  Oil – A Systematic Overview of Rosa damascena Aromatherapy" in Journal of Agronomy, Technology and Engineering Management (JATEM), 7, no. 1 (2024):998-1020,
https://doi.org/10.55817/ASIJ6404 . .

TY  - JOUR
AU  - Aćimović, Milica
AU  - Semerdijeva, Ivanka
AU  - Zheljazkov, Valtcho
AU  - Rat, Milica
AU  - Stanković Jeremić, Jovana
AU  - Lončar, Biljana
AU  - Vukić, Vladimir
AU  - Radovanović, Katarina
AU  - Gavarić, Neda
AU  - Pezo, Lato
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/4054
AB  - This research investigated a Balkan endemic species, Achillea clypeolata, collected from two locations (Dobrostan and Ivaylovgrad) in Bulgaria and two locations (Ozren and Rtanj) in Serbia. The goal was to compare the essential oil (EO) of A. clypeolata from these four localities. The EO was isolated from dry aboveground plant parts by hydrodistillation, and the identification of the EO constituents was carried out by GC-MS analyses. Principal Component Analysis (PCA), correlation analysis, and an unrooted cluster tree were used to define distinctions in the presence of volatile compounds in A. clypeolata EO. Results showed that A. clypeolata of Serbian origin (Ozren and Rtanj) contained 1,8-cineole as the main constituent, and belonged to the previously described 1,8-cineole as a dominant compound in the EO profile.
PB  - Elsevier
T2  - Biochemical Systematics and Ecology
T1  - Variation in the essential oil composition and in silico analysis of anti-inflammatory potential of Balkan endemic species Achillea clypeolata Sm
SP  - 104679
VL  - 110
DO  - 10.1016/j.bse.2023.104679
ER  - 

@article{
author = "Aćimović, Milica and Semerdijeva, Ivanka and Zheljazkov, Valtcho and Rat, Milica and Stanković Jeremić, Jovana and Lončar, Biljana and Vukić, Vladimir and Radovanović, Katarina and Gavarić, Neda and Pezo, Lato",
year = "2023",
abstract = "This research investigated a Balkan endemic species, Achillea clypeolata, collected from two locations (Dobrostan and Ivaylovgrad) in Bulgaria and two locations (Ozren and Rtanj) in Serbia. The goal was to compare the essential oil (EO) of A. clypeolata from these four localities. The EO was isolated from dry aboveground plant parts by hydrodistillation, and the identification of the EO constituents was carried out by GC-MS analyses. Principal Component Analysis (PCA), correlation analysis, and an unrooted cluster tree were used to define distinctions in the presence of volatile compounds in A. clypeolata EO. Results showed that A. clypeolata of Serbian origin (Ozren and Rtanj) contained 1,8-cineole as the main constituent, and belonged to the previously described 1,8-cineole as a dominant compound in the EO profile.",
publisher = "Elsevier",
journal = "Biochemical Systematics and Ecology",
title = "Variation in the essential oil composition and in silico analysis of anti-inflammatory potential of Balkan endemic species Achillea clypeolata Sm",
pages = "104679",
volume = "110",
doi = "10.1016/j.bse.2023.104679"
}

Aćimović, M., Semerdijeva, I., Zheljazkov, V., Rat, M., Stanković Jeremić, J., Lončar, B., Vukić, V., Radovanović, K., Gavarić, N.,& Pezo, L.. (2023). Variation in the essential oil composition and in silico analysis of anti-inflammatory potential of Balkan endemic species Achillea clypeolata Sm. in Biochemical Systematics and Ecology
Elsevier., 110, 104679.
https://doi.org/10.1016/j.bse.2023.104679

Aćimović M, Semerdijeva I, Zheljazkov V, Rat M, Stanković Jeremić J, Lončar B, Vukić V, Radovanović K, Gavarić N, Pezo L. Variation in the essential oil composition and in silico analysis of anti-inflammatory potential of Balkan endemic species Achillea clypeolata Sm. in Biochemical Systematics and Ecology. 2023;110:104679.
doi:10.1016/j.bse.2023.104679 .

Aćimović, Milica, Semerdijeva, Ivanka, Zheljazkov, Valtcho, Rat, Milica, Stanković Jeremić, Jovana, Lončar, Biljana, Vukić, Vladimir, Radovanović, Katarina, Gavarić, Neda, Pezo, Lato, "Variation in the essential oil composition and in silico analysis of anti-inflammatory potential of Balkan endemic species Achillea clypeolata Sm" in Biochemical Systematics and Ecology, 110 (2023):104679,
https://doi.org/10.1016/j.bse.2023.104679 . .

TY  - GEN
AU  - Aćimović, Milica
AU  - Samardžić, Nataša
AU  - Šovljanski, Olja
AU  - Lončar, Biljana
AU  - Stanković Jeremić, Jovana
AU  - Pezo, Lato
AU  - Konstantinović, Bojan
AU  - Vasiljević, Sanja
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/4280
AB  - Sprouted seeds and microgreens are emerging as innovative specialty raw salad crops, valued for their health-promoting properties. However, the risk of foodborne illnesses associated with microbial contamination in microgreens underscores the need for effective sanitization in their production. This study explores using hydrolates, by-products of essential oil distillation from six plants, as natural sanitizers in alfalfa microgreen production. The research investigates their impact on seed germination, antimicrobial activity, and sensory attributes. Results revealed that oregano, fennel, lavender, and lemon catmint hydrolates decrease alfalfa seed germination, while peppermint and hop hydrolates have no significant impact. Peppermint and fennel hydrolates demonstrate notable efficacy in antimicrobial testing. Sensory analysis indicates differences in odour and flavour, with peppermint, oregano, and lavender receiving high scores. According to the results, peppermint hydrolate can be considered a favourable option for alfalfa micro sprout production, contributing to sustainable and organic approaches in urban agriculture and underlining the importance of natural sanitizers for food safety.
PB  - Springer
T2  - Waste and Biomass Valorization
T1  - The potential of hydrolates for use in the production of alfalfa micro sprouts: sanitizers and flavour enhancers
DO  - 10.21203/rs.3.rs-3676886/v1
ER  - 

@misc{
author = "Aćimović, Milica and Samardžić, Nataša and Šovljanski, Olja and Lončar, Biljana and Stanković Jeremić, Jovana and Pezo, Lato and Konstantinović, Bojan and Vasiljević, Sanja",
year = "2023",
abstract = "Sprouted seeds and microgreens are emerging as innovative specialty raw salad crops, valued for their health-promoting properties. However, the risk of foodborne illnesses associated with microbial contamination in microgreens underscores the need for effective sanitization in their production. This study explores using hydrolates, by-products of essential oil distillation from six plants, as natural sanitizers in alfalfa microgreen production. The research investigates their impact on seed germination, antimicrobial activity, and sensory attributes. Results revealed that oregano, fennel, lavender, and lemon catmint hydrolates decrease alfalfa seed germination, while peppermint and hop hydrolates have no significant impact. Peppermint and fennel hydrolates demonstrate notable efficacy in antimicrobial testing. Sensory analysis indicates differences in odour and flavour, with peppermint, oregano, and lavender receiving high scores. According to the results, peppermint hydrolate can be considered a favourable option for alfalfa micro sprout production, contributing to sustainable and organic approaches in urban agriculture and underlining the importance of natural sanitizers for food safety.",
publisher = "Springer",
journal = "Waste and Biomass Valorization",
title = "The potential of hydrolates for use in the production of alfalfa micro sprouts: sanitizers and flavour enhancers",
doi = "10.21203/rs.3.rs-3676886/v1"
}

Aćimović, M., Samardžić, N., Šovljanski, O., Lončar, B., Stanković Jeremić, J., Pezo, L., Konstantinović, B.,& Vasiljević, S.. (2023). The potential of hydrolates for use in the production of alfalfa micro sprouts: sanitizers and flavour enhancers. in Waste and Biomass Valorization
Springer..
https://doi.org/10.21203/rs.3.rs-3676886/v1

Aćimović M, Samardžić N, Šovljanski O, Lončar B, Stanković Jeremić J, Pezo L, Konstantinović B, Vasiljević S. The potential of hydrolates for use in the production of alfalfa micro sprouts: sanitizers and flavour enhancers. in Waste and Biomass Valorization. 2023;.
doi:10.21203/rs.3.rs-3676886/v1 .

Aćimović, Milica, Samardžić, Nataša, Šovljanski, Olja, Lončar, Biljana, Stanković Jeremić, Jovana, Pezo, Lato, Konstantinović, Bojan, Vasiljević, Sanja, "The potential of hydrolates for use in the production of alfalfa micro sprouts: sanitizers and flavour enhancers" in Waste and Biomass Valorization (2023),
https://doi.org/10.21203/rs.3.rs-3676886/v1 . .

TY  - JOUR
AU  - Rajković, Dragana
AU  - Marjanović-Jeromela, Ana
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Grahovac, Nada
AU  - Kondić-Špika, Ankica
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3232
AB  - With the aid of models used in artificial intelligence, a wide range of data can be processed quickly with high accuracy. The quality of rapeseed oil from 40 genotypes cultivated during four consecutive years was analysed. Two machine learning techniques (artificial neural network – ANN, and random forest regression – RFR) were applied for the modelling of fatty acids content (C16:0; C18:0; C18:1; C18:2; C18:3 and C22:1), α-tocopherol, γ-tocopherol and total tocopherols, according to the data of production year and winter rapeseed genotype. The developed models exerted high-quality anticipation features, showing high r2 during the training cycle. The best fit between the modelled and measured traits for ANN model was observed for erucic acid content. RFR modelling for all fatty acids was more effective than ANN model, with the highest precision for palmitic, stearic, and oleic fatty acids (r2>0.9). This study emphasized the possibility of using ANN and RFR models to model winter rapeseed quality traits.
PB  - Elsevier
T2  - Journal of Food Composition and Analysis
T1  - Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed
SP  - 105020
VL  - 115
DO  - 10.1016/j.jfca.2022.105020
ER  - 

@article{
author = "Rajković, Dragana and Marjanović-Jeromela, Ana and Pezo, Lato and Lončar, Biljana and Grahovac, Nada and Kondić-Špika, Ankica",
year = "2023",
abstract = "With the aid of models used in artificial intelligence, a wide range of data can be processed quickly with high accuracy. The quality of rapeseed oil from 40 genotypes cultivated during four consecutive years was analysed. Two machine learning techniques (artificial neural network – ANN, and random forest regression – RFR) were applied for the modelling of fatty acids content (C16:0; C18:0; C18:1; C18:2; C18:3 and C22:1), α-tocopherol, γ-tocopherol and total tocopherols, according to the data of production year and winter rapeseed genotype. The developed models exerted high-quality anticipation features, showing high r2 during the training cycle. The best fit between the modelled and measured traits for ANN model was observed for erucic acid content. RFR modelling for all fatty acids was more effective than ANN model, with the highest precision for palmitic, stearic, and oleic fatty acids (r2>0.9). This study emphasized the possibility of using ANN and RFR models to model winter rapeseed quality traits.",
publisher = "Elsevier",
journal = "Journal of Food Composition and Analysis",
title = "Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed",
pages = "105020",
volume = "115",
doi = "10.1016/j.jfca.2022.105020"
}

Rajković, D., Marjanović-Jeromela, A., Pezo, L., Lončar, B., Grahovac, N.,& Kondić-Špika, A.. (2023). Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed. in Journal of Food Composition and Analysis
Elsevier., 115, 105020.
https://doi.org/10.1016/j.jfca.2022.105020

Rajković D, Marjanović-Jeromela A, Pezo L, Lončar B, Grahovac N, Kondić-Špika A. Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed. in Journal of Food Composition and Analysis. 2023;115:105020.
doi:10.1016/j.jfca.2022.105020 .

Rajković, Dragana, Marjanović-Jeromela, Ana, Pezo, Lato, Lončar, Biljana, Grahovac, Nada, Kondić-Špika, Ankica, "Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed" in Journal of Food Composition and Analysis, 115 (2023):105020,
https://doi.org/10.1016/j.jfca.2022.105020 . .

TY  - JOUR
AU  - Rajković, Dragana
AU  - Marjanović-Jeromela, Ana
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Grahovac, Nada
AU  - Kondić-Špika, Ankica
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3233
AB  - With the aid of models used in artificial intelligence, a wide range of data can be processed quickly with high accuracy. The quality of rapeseed oil from 40 genotypes cultivated during four consecutive years was analysed. Two machine learning techniques (artificial neural network – ANN, and random forest regression – RFR) were applied for the modelling of fatty acids content (C16:0; C18:0; C18:1; C18:2; C18:3 and C22:1), α-tocopherol, γ-tocopherol and total tocopherols, according to the data of production year and winter rapeseed genotype. The developed models exerted high-quality anticipation features, showing high r2 during the training cycle. The best fit between the modelled and measured traits for ANN model was observed for erucic acid content. RFR modelling for all fatty acids was more effective than ANN model, with the highest precision for palmitic, stearic, and oleic fatty acids (r2>0.9). This study emphasized the possibility of using ANN and RFR models to model winter rapeseed quality traits.
PB  - Elsevier
T2  - Journal of Food Composition and Analysis
T1  - Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed
SP  - 105020
VL  - 115
DO  - 10.1016/j.jfca.2022.105020
ER  - 

@article{
author = "Rajković, Dragana and Marjanović-Jeromela, Ana and Pezo, Lato and Lončar, Biljana and Grahovac, Nada and Kondić-Špika, Ankica",
year = "2023",
abstract = "With the aid of models used in artificial intelligence, a wide range of data can be processed quickly with high accuracy. The quality of rapeseed oil from 40 genotypes cultivated during four consecutive years was analysed. Two machine learning techniques (artificial neural network – ANN, and random forest regression – RFR) were applied for the modelling of fatty acids content (C16:0; C18:0; C18:1; C18:2; C18:3 and C22:1), α-tocopherol, γ-tocopherol and total tocopherols, according to the data of production year and winter rapeseed genotype. The developed models exerted high-quality anticipation features, showing high r2 during the training cycle. The best fit between the modelled and measured traits for ANN model was observed for erucic acid content. RFR modelling for all fatty acids was more effective than ANN model, with the highest precision for palmitic, stearic, and oleic fatty acids (r2>0.9). This study emphasized the possibility of using ANN and RFR models to model winter rapeseed quality traits.",
publisher = "Elsevier",
journal = "Journal of Food Composition and Analysis",
title = "Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed",
pages = "105020",
volume = "115",
doi = "10.1016/j.jfca.2022.105020"
}

Rajković, D., Marjanović-Jeromela, A., Pezo, L., Lončar, B., Grahovac, N.,& Kondić-Špika, A.. (2023). Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed. in Journal of Food Composition and Analysis
Elsevier., 115, 105020.
https://doi.org/10.1016/j.jfca.2022.105020

Rajković D, Marjanović-Jeromela A, Pezo L, Lončar B, Grahovac N, Kondić-Špika A. Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed. in Journal of Food Composition and Analysis. 2023;115:105020.
doi:10.1016/j.jfca.2022.105020 .

Rajković, Dragana, Marjanović-Jeromela, Ana, Pezo, Lato, Lončar, Biljana, Grahovac, Nada, Kondić-Špika, Ankica, "Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed" in Journal of Food Composition and Analysis, 115 (2023):105020,
https://doi.org/10.1016/j.jfca.2022.105020 . .

TY  - JOUR
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Šovljanski, Olja
AU  - Tomić, Ana
AU  - Travičić, Vanja
AU  - Pezo, Milada
AU  - Aćimović, Milica
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/3237
AB  - Predicting yield is essential for producers, stakeholders and international interchange demand. The majority of the divergence in yield and essential oil content is associated with environmental aspects, including weather conditions, soil variety and cultivation techniques. Therefore, aniseed production was examined in this study. The categorical input variables for artificial neural network modelling were growing year (two successive growing years), growing locality (three different locations in Vojvodina Province, Serbia) and fertilization type (six different treatments). The output variables were morphological and quality parameters, with agricultural importance such as plant height, umbel diameter, number of umbels, number of seeds per umbel, 1000-seed weight, seed yield per plant, plant weight, harvest index, yield per ha, essential oil (EO) yield, germination energy, total germination, EO content, as well as the share of EOs compounds, including limonene, cis-dihydro carvone, methyl chavicol, carvone, cis-anethole, trans-anethole, β-elemene, α-himachalene, trans-βfarnesene, γ-himachalene, trans-muurola-4(14),5-diene, α-zingiberene, β-himachalene, β-bisabolene, trans-pseudoisoeugenyl 2-methylbutyrate and epoxy-pseudoisoeugenyl 2-methylbutyrate. The ANN model predicted agricultural parameters accurately, showing r2 values between 0.555 and 0.918, while r2 values for the forecasting of essential oil content were between 0.379 and 0.908. According to global sensitivity analysis, the fertilization type was a more influential variable to agricultural parameters, while the location site was more influential to essential oils content.
PB  - Basel : MDPI
T2  - Life (Basel)
T1  - Agricultural parameters and essential oil content composition prediction of aniseed, based on growing year, locality and fertilization type - an artificial neural network approach
IS  - 11
SP  - 1722
VL  - 12
DO  - 10.3390/life12111722
ER  - 

@article{
author = "Pezo, Lato and Lončar, Biljana and Šovljanski, Olja and Tomić, Ana and Travičić, Vanja and Pezo, Milada and Aćimović, Milica",
year = "2022",
abstract = "Predicting yield is essential for producers, stakeholders and international interchange demand. The majority of the divergence in yield and essential oil content is associated with environmental aspects, including weather conditions, soil variety and cultivation techniques. Therefore, aniseed production was examined in this study. The categorical input variables for artificial neural network modelling were growing year (two successive growing years), growing locality (three different locations in Vojvodina Province, Serbia) and fertilization type (six different treatments). The output variables were morphological and quality parameters, with agricultural importance such as plant height, umbel diameter, number of umbels, number of seeds per umbel, 1000-seed weight, seed yield per plant, plant weight, harvest index, yield per ha, essential oil (EO) yield, germination energy, total germination, EO content, as well as the share of EOs compounds, including limonene, cis-dihydro carvone, methyl chavicol, carvone, cis-anethole, trans-anethole, β-elemene, α-himachalene, trans-βfarnesene, γ-himachalene, trans-muurola-4(14),5-diene, α-zingiberene, β-himachalene, β-bisabolene, trans-pseudoisoeugenyl 2-methylbutyrate and epoxy-pseudoisoeugenyl 2-methylbutyrate. The ANN model predicted agricultural parameters accurately, showing r2 values between 0.555 and 0.918, while r2 values for the forecasting of essential oil content were between 0.379 and 0.908. According to global sensitivity analysis, the fertilization type was a more influential variable to agricultural parameters, while the location site was more influential to essential oils content.",
publisher = "Basel : MDPI",
journal = "Life (Basel)",
title = "Agricultural parameters and essential oil content composition prediction of aniseed, based on growing year, locality and fertilization type - an artificial neural network approach",
number = "11",
pages = "1722",
volume = "12",
doi = "10.3390/life12111722"
}

Pezo, L., Lončar, B., Šovljanski, O., Tomić, A., Travičić, V., Pezo, M.,& Aćimović, M.. (2022). Agricultural parameters and essential oil content composition prediction of aniseed, based on growing year, locality and fertilization type - an artificial neural network approach. in Life (Basel)
Basel : MDPI., 12(11), 1722.
https://doi.org/10.3390/life12111722

Pezo L, Lončar B, Šovljanski O, Tomić A, Travičić V, Pezo M, Aćimović M. Agricultural parameters and essential oil content composition prediction of aniseed, based on growing year, locality and fertilization type - an artificial neural network approach. in Life (Basel). 2022;12(11):1722.
doi:10.3390/life12111722 .

Pezo, Lato, Lončar, Biljana, Šovljanski, Olja, Tomić, Ana, Travičić, Vanja, Pezo, Milada, Aćimović, Milica, "Agricultural parameters and essential oil content composition prediction of aniseed, based on growing year, locality and fertilization type - an artificial neural network approach" in Life (Basel), 12, no. 11 (2022):1722,
https://doi.org/10.3390/life12111722 . .

TY  - JOUR
AU  - Aćimović, Milica
AU  - Zeremski, Tijana
AU  - Šovljanski, Olja
AU  - Lončar, Biljana
AU  - Pezo, Lato
AU  - Zheljazkov, Valtcho
AU  - Pezo, Milada
AU  - Šuput, Danijela
AU  - Kurunci, Zoltan
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/3292
AB  - Our previous research has proven that the immortelle (Helichrysum italicum) essential oil (EO) grown in Serbia possesses respectable biological potential and desirable composition of volatile compounds with the potential for a wide range of applications in the food, cosmetics, and pharmaceutical industries. Within this study, the impact of seasonal variations (temperature, precipitation, and insolation) during three successive years (2017, 2018, and 2019), on the volatile profile of γ-curcumene + ar-curcumene immortelle chemotype was determined. Steam distillation was utilized to extract EO from the plant material, followed by chromatographic mass spectrometric analysis revealing 50 volatile compounds. A multiple linear regression model was developed, and principal component analyses were conducted to deliver detailed information regarding the prediction, component profile, and parallel contents of active compounds of the immortelle EO. Under Serbian agro-ecological conditions, with appropriate harvest method, immortelle can achieve two harvests per year: the first in July, and the second in August. The γ-curcumene + ar-curcumene chemotype usually occurs as the dominant chemotype in the region of the ex-Yugoslavia countries. This chemotype probably developed as an adaptation to climatic conditions, and spring and summer precipitation positively influenced curcumene accumulation in plants. Such a phenomenon was especially noticeable in the first harvest.
PB  - Basel : MDPI
T2  - Horticulturae
T1  - Seasonal variations in essential oil composition of immortelle cultivated in Serbia
IS  - 12
SP  - 1183
VL  - 8
DO  - 10.3390/horticulturae8121183
ER  - 

@article{
author = "Aćimović, Milica and Zeremski, Tijana and Šovljanski, Olja and Lončar, Biljana and Pezo, Lato and Zheljazkov, Valtcho and Pezo, Milada and Šuput, Danijela and Kurunci, Zoltan",
year = "2022",
abstract = "Our previous research has proven that the immortelle (Helichrysum italicum) essential oil (EO) grown in Serbia possesses respectable biological potential and desirable composition of volatile compounds with the potential for a wide range of applications in the food, cosmetics, and pharmaceutical industries. Within this study, the impact of seasonal variations (temperature, precipitation, and insolation) during three successive years (2017, 2018, and 2019), on the volatile profile of γ-curcumene + ar-curcumene immortelle chemotype was determined. Steam distillation was utilized to extract EO from the plant material, followed by chromatographic mass spectrometric analysis revealing 50 volatile compounds. A multiple linear regression model was developed, and principal component analyses were conducted to deliver detailed information regarding the prediction, component profile, and parallel contents of active compounds of the immortelle EO. Under Serbian agro-ecological conditions, with appropriate harvest method, immortelle can achieve two harvests per year: the first in July, and the second in August. The γ-curcumene + ar-curcumene chemotype usually occurs as the dominant chemotype in the region of the ex-Yugoslavia countries. This chemotype probably developed as an adaptation to climatic conditions, and spring and summer precipitation positively influenced curcumene accumulation in plants. Such a phenomenon was especially noticeable in the first harvest.",
publisher = "Basel : MDPI",
journal = "Horticulturae",
title = "Seasonal variations in essential oil composition of immortelle cultivated in Serbia",
number = "12",
pages = "1183",
volume = "8",
doi = "10.3390/horticulturae8121183"
}

Aćimović, M., Zeremski, T., Šovljanski, O., Lončar, B., Pezo, L., Zheljazkov, V., Pezo, M., Šuput, D.,& Kurunci, Z.. (2022). Seasonal variations in essential oil composition of immortelle cultivated in Serbia. in Horticulturae
Basel : MDPI., 8(12), 1183.
https://doi.org/10.3390/horticulturae8121183

Aćimović M, Zeremski T, Šovljanski O, Lončar B, Pezo L, Zheljazkov V, Pezo M, Šuput D, Kurunci Z. Seasonal variations in essential oil composition of immortelle cultivated in Serbia. in Horticulturae. 2022;8(12):1183.
doi:10.3390/horticulturae8121183 .

Aćimović, Milica, Zeremski, Tijana, Šovljanski, Olja, Lončar, Biljana, Pezo, Lato, Zheljazkov, Valtcho, Pezo, Milada, Šuput, Danijela, Kurunci, Zoltan, "Seasonal variations in essential oil composition of immortelle cultivated in Serbia" in Horticulturae, 8, no. 12 (2022):1183,
https://doi.org/10.3390/horticulturae8121183 . .

TY  - JOUR
AU  - Aćimović, Milica
AU  - Pezo, Lato
AU  - Čabarkapa, Ivana
AU  - Trudić, Anika
AU  - Stanković Jeremić, Jovana
AU  - Varga, Ana
AU  - Lončar, Biljana
AU  - Šovljanski, Olja
AU  - Tešević, Vele
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/3172
AB  - This study aimed to investigate the chemical composition of steam distillate essential oil and corresponding hydrolate obtained from S. officinalis grown in Serbia, as well as the influence of weather conditions (temperature and precipitations) on their chemical profiles. Furthermore, their antimicrobial activity was investigated in vitro. The main compounds in essential oil were cis-thujone, followed by camphor, trans-thujone, and 1,8-cineole, while hydrolate was slightly different from the essential oil, with camphor, cis-thujone, and 1,8-cineole as the main compounds. Among the eight respiratory-associated microorganisms, Klebsiella oxytoca was the most sensitive to the tested EOs (minimum inhibitory concentration (MIC)/minimal bactericidal/fungicidal concentration (MBC/MFC) were 14.20 and 28.4 μL mL−1, respectively). MIC and MBC values of other tested bacteria ranged between 28.40 and 227.25 μL mL−1 while for Candida albicans MIC/MFC ranged from 28.40/56.81 to 56.81–113.63 μL mL−1. Antibiotic susceptibility patterns for the analyzed eight respiratory-associated microorganisms showed an intermediate level of resistance to commonly used antibiotics such as ampicillin, levofloxacin, and ciprofloxacin. As a preliminary approach to the antimicrobial profiling of the tested EO, the obtained results revealed that the tested samples possess remarkable antibacterial activities and could be used to develop pharmaceutical formulations as an alternative to conventional antibiotic therapy.
PB  - Basel : MDPI
T2  - Processes
T1  - Variation of Salvia officinalis L. essential oil and hydrolate composition and their antimicrobial activity
IS  - 8
SP  - 1608
VL  - 10
DO  - 10.3390/pr10081608
ER  - 

@article{
author = "Aćimović, Milica and Pezo, Lato and Čabarkapa, Ivana and Trudić, Anika and Stanković Jeremić, Jovana and Varga, Ana and Lončar, Biljana and Šovljanski, Olja and Tešević, Vele",
year = "2022",
abstract = "This study aimed to investigate the chemical composition of steam distillate essential oil and corresponding hydrolate obtained from S. officinalis grown in Serbia, as well as the influence of weather conditions (temperature and precipitations) on their chemical profiles. Furthermore, their antimicrobial activity was investigated in vitro. The main compounds in essential oil were cis-thujone, followed by camphor, trans-thujone, and 1,8-cineole, while hydrolate was slightly different from the essential oil, with camphor, cis-thujone, and 1,8-cineole as the main compounds. Among the eight respiratory-associated microorganisms, Klebsiella oxytoca was the most sensitive to the tested EOs (minimum inhibitory concentration (MIC)/minimal bactericidal/fungicidal concentration (MBC/MFC) were 14.20 and 28.4 μL mL−1, respectively). MIC and MBC values of other tested bacteria ranged between 28.40 and 227.25 μL mL−1 while for Candida albicans MIC/MFC ranged from 28.40/56.81 to 56.81–113.63 μL mL−1. Antibiotic susceptibility patterns for the analyzed eight respiratory-associated microorganisms showed an intermediate level of resistance to commonly used antibiotics such as ampicillin, levofloxacin, and ciprofloxacin. As a preliminary approach to the antimicrobial profiling of the tested EO, the obtained results revealed that the tested samples possess remarkable antibacterial activities and could be used to develop pharmaceutical formulations as an alternative to conventional antibiotic therapy.",
publisher = "Basel : MDPI",
journal = "Processes",
title = "Variation of Salvia officinalis L. essential oil and hydrolate composition and their antimicrobial activity",
number = "8",
pages = "1608",
volume = "10",
doi = "10.3390/pr10081608"
}

Aćimović, M., Pezo, L., Čabarkapa, I., Trudić, A., Stanković Jeremić, J., Varga, A., Lončar, B., Šovljanski, O.,& Tešević, V.. (2022). Variation of Salvia officinalis L. essential oil and hydrolate composition and their antimicrobial activity. in Processes
Basel : MDPI., 10(8), 1608.
https://doi.org/10.3390/pr10081608

Aćimović M, Pezo L, Čabarkapa I, Trudić A, Stanković Jeremić J, Varga A, Lončar B, Šovljanski O, Tešević V. Variation of Salvia officinalis L. essential oil and hydrolate composition and their antimicrobial activity. in Processes. 2022;10(8):1608.
doi:10.3390/pr10081608 .

Aćimović, Milica, Pezo, Lato, Čabarkapa, Ivana, Trudić, Anika, Stanković Jeremić, Jovana, Varga, Ana, Lončar, Biljana, Šovljanski, Olja, Tešević, Vele, "Variation of Salvia officinalis L. essential oil and hydrolate composition and their antimicrobial activity" in Processes, 10, no. 8 (2022):1608,
https://doi.org/10.3390/pr10081608 . .

TY  - JOUR
AU  - Aćimović, Milica
AU  - Rat, Milica
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Pezo, Milada
AU  - Miljković, Ana
AU  - Lazarević, Jovan
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/2870
AB  - Garden angelica (Angelica archangelica L.), native to the northern temperate region, is widespread in Europe and Asia. Since the middle ages, it has been used for healing and as a vegetable in traditional dishes. In the modern era, it has been proven that A. archangelica has a complex chemical composition. The main derivatives that contribute to the plant’s biological activities are essential oil and coumarins. In this review, the focus is on the cross-analysis of the taxonomy of A. archangelica, and its distribution in different regions, with the presentation of the richness of its biochemical composition, which overall contributes to the widespread use of the roots of this plant in folk medicine. It belongs to the plants that were introduced to the wider area of Central, Eastern, and Southern Europe; as a medicinal plant, it represents a significant part of the medical flora of many areas. Cluster analysis of pooled data indicates a clear differentiation of chemotypes.
PB  - Basel : MDPI
T2  - Agronomy-Basel
T1  - Biological and chemical diversity of Angelica archangelica L. — case study of essential oil and its biological activity
SP  - 1570
VL  - 12
DO  - 10.3390/agronomy12071570
ER  - 

@article{
author = "Aćimović, Milica and Rat, Milica and Pezo, Lato and Lončar, Biljana and Pezo, Milada and Miljković, Ana and Lazarević, Jovan",
year = "2022",
abstract = "Garden angelica (Angelica archangelica L.), native to the northern temperate region, is widespread in Europe and Asia. Since the middle ages, it has been used for healing and as a vegetable in traditional dishes. In the modern era, it has been proven that A. archangelica has a complex chemical composition. The main derivatives that contribute to the plant’s biological activities are essential oil and coumarins. In this review, the focus is on the cross-analysis of the taxonomy of A. archangelica, and its distribution in different regions, with the presentation of the richness of its biochemical composition, which overall contributes to the widespread use of the roots of this plant in folk medicine. It belongs to the plants that were introduced to the wider area of Central, Eastern, and Southern Europe; as a medicinal plant, it represents a significant part of the medical flora of many areas. Cluster analysis of pooled data indicates a clear differentiation of chemotypes.",
publisher = "Basel : MDPI",
journal = "Agronomy-Basel",
title = "Biological and chemical diversity of Angelica archangelica L. — case study of essential oil and its biological activity",
pages = "1570",
volume = "12",
doi = "10.3390/agronomy12071570"
}

Aćimović, M., Rat, M., Pezo, L., Lončar, B., Pezo, M., Miljković, A.,& Lazarević, J.. (2022). Biological and chemical diversity of Angelica archangelica L. — case study of essential oil and its biological activity. in Agronomy-Basel
Basel : MDPI., 12, 1570.
https://doi.org/10.3390/agronomy12071570

Aćimović M, Rat M, Pezo L, Lončar B, Pezo M, Miljković A, Lazarević J. Biological and chemical diversity of Angelica archangelica L. — case study of essential oil and its biological activity. in Agronomy-Basel. 2022;12:1570.
doi:10.3390/agronomy12071570 .

Aćimović, Milica, Rat, Milica, Pezo, Lato, Lončar, Biljana, Pezo, Milada, Miljković, Ana, Lazarević, Jovan, "Biological and chemical diversity of Angelica archangelica L. — case study of essential oil and its biological activity" in Agronomy-Basel, 12 (2022):1570,
https://doi.org/10.3390/agronomy12071570 . .

TY  - JOUR
AU  - Aćimović, Milica
AU  - Lončar, Biljana
AU  - Stanković Jeremić, Jovana
AU  - Cvetković, Mirjana
AU  - Pezo, Lato
AU  - Pezo, Milada
AU  - Todosijević, Marina
AU  - Tešević, Vele
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/2540
AB  - Lavandula sp. essential oil and hydrolate are commercially valuable in various industry branches with the potential for wide-ranging applications. This study aimed to evaluate the quality of these products obtained from L. x intermedia cv. ‘Budrovka’ for the first time cultivated on Fruška Gora Mt. (Serbia) during three successive seasons (2019, 2020, and 2021). Essential oil extraction was obtained by steam distillation, and the composition and influence of weather conditions were also assessed, using flowering tops. The obtained essential oils and hydrolates were analysed by gas chromatography with a flame ionization detector (GC-FID) and gas chromatography coupled to mass spectrometry (GC-MS). A linear regression model was developed to predict L. x intermedia cv. ‘Budrovka’ essential oil volatile compound content and hydrolate composition during three years, according to temperature and precipitation data, and the appropriate regression coefficients were calculated, while the correlation analysis was employed to analyse the correlations in hydrolate and essential oil compounds. To completely describe the structure of the research data that would present a better insight into the similarities and differences among the diverse L. x intermedia cv. ‘Budrovka’ samples, the PCA was used. The most dominant in L. intermedia cv. ‘Budrovka’ essential oil and hydrolate were oxygenated monoterpenes: linalool, 1,8-cineole, borneol, linalyl acetate, and terpinene-4-ol. It is established that the temperature was positively correlated with all essential oil and hydrolate compounds. The precipitations were positively correlated with the main compounds (linalool, 1,8-cineole, and borneol), while the other compounds’ content negatively correlated to precipitation. The results indicated that Fruška Gora Mt. has suitable agro-ecological requirements for cultivating Lavandula sp. and providing satisfactory essential oil and hydrolate
PB  - Basel : MDPI
T2  - Horticulturae (Basel)
T1  - Weather conditions Influence on lavandin essential oil and hydrolate quality
SP  - 281
VL  - 8
DO  - 10.3390/horticulturae8040281
ER  - 

@article{
author = "Aćimović, Milica and Lončar, Biljana and Stanković Jeremić, Jovana and Cvetković, Mirjana and Pezo, Lato and Pezo, Milada and Todosijević, Marina and Tešević, Vele",
year = "2022",
abstract = "Lavandula sp. essential oil and hydrolate are commercially valuable in various industry branches with the potential for wide-ranging applications. This study aimed to evaluate the quality of these products obtained from L. x intermedia cv. ‘Budrovka’ for the first time cultivated on Fruška Gora Mt. (Serbia) during three successive seasons (2019, 2020, and 2021). Essential oil extraction was obtained by steam distillation, and the composition and influence of weather conditions were also assessed, using flowering tops. The obtained essential oils and hydrolates were analysed by gas chromatography with a flame ionization detector (GC-FID) and gas chromatography coupled to mass spectrometry (GC-MS). A linear regression model was developed to predict L. x intermedia cv. ‘Budrovka’ essential oil volatile compound content and hydrolate composition during three years, according to temperature and precipitation data, and the appropriate regression coefficients were calculated, while the correlation analysis was employed to analyse the correlations in hydrolate and essential oil compounds. To completely describe the structure of the research data that would present a better insight into the similarities and differences among the diverse L. x intermedia cv. ‘Budrovka’ samples, the PCA was used. The most dominant in L. intermedia cv. ‘Budrovka’ essential oil and hydrolate were oxygenated monoterpenes: linalool, 1,8-cineole, borneol, linalyl acetate, and terpinene-4-ol. It is established that the temperature was positively correlated with all essential oil and hydrolate compounds. The precipitations were positively correlated with the main compounds (linalool, 1,8-cineole, and borneol), while the other compounds’ content negatively correlated to precipitation. The results indicated that Fruška Gora Mt. has suitable agro-ecological requirements for cultivating Lavandula sp. and providing satisfactory essential oil and hydrolate",
publisher = "Basel : MDPI",
journal = "Horticulturae (Basel)",
title = "Weather conditions Influence on lavandin essential oil and hydrolate quality",
pages = "281",
volume = "8",
doi = "10.3390/horticulturae8040281"
}

Aćimović, M., Lončar, B., Stanković Jeremić, J., Cvetković, M., Pezo, L., Pezo, M., Todosijević, M.,& Tešević, V.. (2022). Weather conditions Influence on lavandin essential oil and hydrolate quality. in Horticulturae (Basel)
Basel : MDPI., 8, 281.
https://doi.org/10.3390/horticulturae8040281

Aćimović M, Lončar B, Stanković Jeremić J, Cvetković M, Pezo L, Pezo M, Todosijević M, Tešević V. Weather conditions Influence on lavandin essential oil and hydrolate quality. in Horticulturae (Basel). 2022;8:281.
doi:10.3390/horticulturae8040281 .

Aćimović, Milica, Lončar, Biljana, Stanković Jeremić, Jovana, Cvetković, Mirjana, Pezo, Lato, Pezo, Milada, Todosijević, Marina, Tešević, Vele, "Weather conditions Influence on lavandin essential oil and hydrolate quality" in Horticulturae (Basel), 8 (2022):281,
https://doi.org/10.3390/horticulturae8040281 . .

TY  - JOUR
AU  - Aćimović, Milica
AU  - Lončar, Biljana
AU  - Pezo, Milada
AU  - Stanković Jeremić, Jovana
AU  - Cvetković, Mirjana
AU  - Rat, Milica
AU  - Pezo, Lato
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/2486
AB  - Unlike other studies that only determined the chemical composition of essential oils depending on their geographic origin, this research investigated the effect of weather conditions (temperature, precipitation, and insolation) on the chemical composition of Nepeta nuda L. essential oil. The collection of wild-growing N. nuda was carried out during three successive years, 2019, 2020, and 2021 at Rtanj Mountain (Serbia) on the same date (July 7th). Essential oil extraction from the plant was performed by hydro-distillation. After gas chromatographic-mass spectrometric analysis, a total of 102 volatile compounds were separated from N. nuda, during the observed period, 28 were unidentified, compromising between 5.0% and 8.7%, depending on the year. A multiple linear regression model was created, and statistical analyses were performed to provide knowledge about the prediction, feature profile, and the similarity in contents of active compounds of the N. nuda essential oil. The influence of temperature on the accumulation of the most abundant component, 1,8-cineole, was positive, while the impact of precipitation and insolation was negative. According to the cluster tree, there are four chemotypes of N. nuda essential oil: with nepetalactone, 1,8-cineole, mixed (nepetalactone+1,8-cineole+germacrene D), and nonspecific chemotypes. Bearing in mind that the biological activity of a raw material depends on the chemotype and environmental factors, this is a topic that deserves a more detailed approach. The N. nuda and its essential oil are promising materials with high biological potential, and these deserve further detailed investigation.
PB  - Basel : MDPI
T2  - Horticulturae
T1  - Volatile compounds of Nepeta nuda L. from Rtanj Mountain (Serbia)
SP  - 85
VL  - 8
DO  - 10.3390/horticulturae8020085
ER  - 

@article{
author = "Aćimović, Milica and Lončar, Biljana and Pezo, Milada and Stanković Jeremić, Jovana and Cvetković, Mirjana and Rat, Milica and Pezo, Lato",
year = "2022",
abstract = "Unlike other studies that only determined the chemical composition of essential oils depending on their geographic origin, this research investigated the effect of weather conditions (temperature, precipitation, and insolation) on the chemical composition of Nepeta nuda L. essential oil. The collection of wild-growing N. nuda was carried out during three successive years, 2019, 2020, and 2021 at Rtanj Mountain (Serbia) on the same date (July 7th). Essential oil extraction from the plant was performed by hydro-distillation. After gas chromatographic-mass spectrometric analysis, a total of 102 volatile compounds were separated from N. nuda, during the observed period, 28 were unidentified, compromising between 5.0% and 8.7%, depending on the year. A multiple linear regression model was created, and statistical analyses were performed to provide knowledge about the prediction, feature profile, and the similarity in contents of active compounds of the N. nuda essential oil. The influence of temperature on the accumulation of the most abundant component, 1,8-cineole, was positive, while the impact of precipitation and insolation was negative. According to the cluster tree, there are four chemotypes of N. nuda essential oil: with nepetalactone, 1,8-cineole, mixed (nepetalactone+1,8-cineole+germacrene D), and nonspecific chemotypes. Bearing in mind that the biological activity of a raw material depends on the chemotype and environmental factors, this is a topic that deserves a more detailed approach. The N. nuda and its essential oil are promising materials with high biological potential, and these deserve further detailed investigation.",
publisher = "Basel : MDPI",
journal = "Horticulturae",
title = "Volatile compounds of Nepeta nuda L. from Rtanj Mountain (Serbia)",
pages = "85",
volume = "8",
doi = "10.3390/horticulturae8020085"
}

Aćimović, M., Lončar, B., Pezo, M., Stanković Jeremić, J., Cvetković, M., Rat, M.,& Pezo, L.. (2022). Volatile compounds of Nepeta nuda L. from Rtanj Mountain (Serbia). in Horticulturae
Basel : MDPI., 8, 85.
https://doi.org/10.3390/horticulturae8020085

Aćimović M, Lončar B, Pezo M, Stanković Jeremić J, Cvetković M, Rat M, Pezo L. Volatile compounds of Nepeta nuda L. from Rtanj Mountain (Serbia). in Horticulturae. 2022;8:85.
doi:10.3390/horticulturae8020085 .

Aćimović, Milica, Lončar, Biljana, Pezo, Milada, Stanković Jeremić, Jovana, Cvetković, Mirjana, Rat, Milica, Pezo, Lato, "Volatile compounds of Nepeta nuda L. from Rtanj Mountain (Serbia)" in Horticulturae, 8 (2022):85,
https://doi.org/10.3390/horticulturae8020085 . .

TY  - JOUR
AU  - Rajković, Dragana
AU  - Marjanović-Jeromela, Ana
AU  - Pezo, Lato
AU  - Lončar, Biljana
AU  - Zanetti, Federica
AU  - Monti, Andrea
AU  - Kondić-Špika, Ankica
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/2478
AB  - As one of the greatest agricultural challenges, yield prediction is an important issue for producers, stakeholders, and the global trade market. Most of the variation in yield is attributed to environmental factors such as climate conditions, soil type and cultivation practices. Artificial neural networks (ANNs) and random forest regression (RFR) are machine learning tools that are used unambiguously for crop yield prediction. There is limited research regarding the application of these mathematical models for the prediction of rapeseed yield and quality. A four-year study (2015–2018) was carried out in the Republic of Serbia with 40 winter rapeseed genotypes. The field trial was designed as a randomized complete block design in three replications. ANN, based on the Broyden–Fletcher–Goldfarb–Shanno iterative algorithm, and RFR models were used for prediction of seed yield, oil and protein yield, oil and protein content, and 1000 seed weight, based on the year of production and genotype. The best production year for rapeseed cultivation was 2016, when the highest seed and oil yield were achieved, 2994 kg/ha and 1402 kg/ha, respectively. The RFR model showed better prediction capabilities compared to the ANN model (the r2 values for prediction of output variables were 0.944, 0.935, 0.912, 0.886, 0.936 and 0.900, for oil and protein content, seed yield, 1000 seed weight, oil and protein yield, respectively).
PB  - MDPI, Basel
T2  - Agronomy - Basel
T1  - Yield and quality prediction of winter rapeseed — artificial neural network and random forest models
SP  - 58
VL  - 12
DO  - 10.3390/agronomy12010058
ER  - 

@article{
author = "Rajković, Dragana and Marjanović-Jeromela, Ana and Pezo, Lato and Lončar, Biljana and Zanetti, Federica and Monti, Andrea and Kondić-Špika, Ankica",
year = "2022",
abstract = "As one of the greatest agricultural challenges, yield prediction is an important issue for producers, stakeholders, and the global trade market. Most of the variation in yield is attributed to environmental factors such as climate conditions, soil type and cultivation practices. Artificial neural networks (ANNs) and random forest regression (RFR) are machine learning tools that are used unambiguously for crop yield prediction. There is limited research regarding the application of these mathematical models for the prediction of rapeseed yield and quality. A four-year study (2015–2018) was carried out in the Republic of Serbia with 40 winter rapeseed genotypes. The field trial was designed as a randomized complete block design in three replications. ANN, based on the Broyden–Fletcher–Goldfarb–Shanno iterative algorithm, and RFR models were used for prediction of seed yield, oil and protein yield, oil and protein content, and 1000 seed weight, based on the year of production and genotype. The best production year for rapeseed cultivation was 2016, when the highest seed and oil yield were achieved, 2994 kg/ha and 1402 kg/ha, respectively. The RFR model showed better prediction capabilities compared to the ANN model (the r2 values for prediction of output variables were 0.944, 0.935, 0.912, 0.886, 0.936 and 0.900, for oil and protein content, seed yield, 1000 seed weight, oil and protein yield, respectively).",
publisher = "MDPI, Basel",
journal = "Agronomy - Basel",
title = "Yield and quality prediction of winter rapeseed — artificial neural network and random forest models",
pages = "58",
volume = "12",
doi = "10.3390/agronomy12010058"
}

Rajković, D., Marjanović-Jeromela, A., Pezo, L., Lončar, B., Zanetti, F., Monti, A.,& Kondić-Špika, A.. (2022). Yield and quality prediction of winter rapeseed — artificial neural network and random forest models. in Agronomy - Basel
MDPI, Basel., 12, 58.
https://doi.org/10.3390/agronomy12010058

Rajković D, Marjanović-Jeromela A, Pezo L, Lončar B, Zanetti F, Monti A, Kondić-Špika A. Yield and quality prediction of winter rapeseed — artificial neural network and random forest models. in Agronomy - Basel. 2022;12:58.
doi:10.3390/agronomy12010058 .

Rajković, Dragana, Marjanović-Jeromela, Ana, Pezo, Lato, Lončar, Biljana, Zanetti, Federica, Monti, Andrea, Kondić-Špika, Ankica, "Yield and quality prediction of winter rapeseed — artificial neural network and random forest models" in Agronomy - Basel, 12 (2022):58,
https://doi.org/10.3390/agronomy12010058 . .