TY  - JOUR
AU  - Djurović, Nevenka
AU  - Ćosić, Marija
AU  - Stričević, Ružica
AU  - Savić, Sladjana
AU  - Domazet, Milka
PY  - 2016
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/4193
AB  - Modern agriculture is faced with two tasks: (1) to produce enough food for a growing global population, and (2) to ensure satisfactory crop quality while using water resources efficiently. A study of the effect of kaolin on the yield, quality and water use efficiency of tomato (Lycopersicon esculentum Mill.), grown under different irrigation regimes, is reported in the paper. The research was conducted in an open field with carbonate chernozem soil, at Stara Pazova (40 km north of Belgrade, Serbia). It lasted for three years (2011, 2012, and 2013). The experimental setup was a two-factorial, completely random block system, with three replications. The first factor was the irrigation regime and the second the application of kaolin. Two irrigation treatments were studied: (a) full irrigation (F), covering 100% of ETc (crop evapotranspiration), and (b) deficit irrigation (D) at 50% of ETc. The kaolin treatments were: (a) control treatment, without kaolin (C) and treatment with a 5% suspension of kaolin (K). On average, the highest fresh tomato fruit yields were achieved under full irrigation, with kaolin (FK) (21.0 kg m(-2)). The FK treatment also resulted in the greatest dry weight of the fruits (1.1 kg m(-2)). The average fruit weight was rather uniform and ranged from 71.7 g with DC to 75.4 g with DK. The average sugar and lycopene content was quite uniform over the study period, while the irrigation regime had a significant effect on the average organic acid content and total antioxidant activity. Deficit irrigation treatments resulted in a higher organic acid content and higher total antioxidant activity than full irrigation. The application of kaolin had a greater effect of the water use efficiency of tomato than the irrigation treatment.
PB  - Elsevier, Amsterdam
T2  - Scientia Horticulturae
T1  - Effect of irrigation regime and application of kaolin on yield, quality and water use efficiency of tomato
EP  - 278
SP  - 271
VL  - 201
DO  - 10.1016/j.scienta.2016.02.017
ER  - 

@article{
author = "Djurović, Nevenka and Ćosić, Marija and Stričević, Ružica and Savić, Sladjana and Domazet, Milka",
year = "2016",
abstract = "Modern agriculture is faced with two tasks: (1) to produce enough food for a growing global population, and (2) to ensure satisfactory crop quality while using water resources efficiently. A study of the effect of kaolin on the yield, quality and water use efficiency of tomato (Lycopersicon esculentum Mill.), grown under different irrigation regimes, is reported in the paper. The research was conducted in an open field with carbonate chernozem soil, at Stara Pazova (40 km north of Belgrade, Serbia). It lasted for three years (2011, 2012, and 2013). The experimental setup was a two-factorial, completely random block system, with three replications. The first factor was the irrigation regime and the second the application of kaolin. Two irrigation treatments were studied: (a) full irrigation (F), covering 100% of ETc (crop evapotranspiration), and (b) deficit irrigation (D) at 50% of ETc. The kaolin treatments were: (a) control treatment, without kaolin (C) and treatment with a 5% suspension of kaolin (K). On average, the highest fresh tomato fruit yields were achieved under full irrigation, with kaolin (FK) (21.0 kg m(-2)). The FK treatment also resulted in the greatest dry weight of the fruits (1.1 kg m(-2)). The average fruit weight was rather uniform and ranged from 71.7 g with DC to 75.4 g with DK. The average sugar and lycopene content was quite uniform over the study period, while the irrigation regime had a significant effect on the average organic acid content and total antioxidant activity. Deficit irrigation treatments resulted in a higher organic acid content and higher total antioxidant activity than full irrigation. The application of kaolin had a greater effect of the water use efficiency of tomato than the irrigation treatment.",
publisher = "Elsevier, Amsterdam",
journal = "Scientia Horticulturae",
title = "Effect of irrigation regime and application of kaolin on yield, quality and water use efficiency of tomato",
pages = "278-271",
volume = "201",
doi = "10.1016/j.scienta.2016.02.017"
}

Djurović, N., Ćosić, M., Stričević, R., Savić, S.,& Domazet, M.. (2016). Effect of irrigation regime and application of kaolin on yield, quality and water use efficiency of tomato. in Scientia Horticulturae
Elsevier, Amsterdam., 201, 271-278.
https://doi.org/10.1016/j.scienta.2016.02.017

Djurović N, Ćosić M, Stričević R, Savić S, Domazet M. Effect of irrigation regime and application of kaolin on yield, quality and water use efficiency of tomato. in Scientia Horticulturae. 2016;201:271-278.
doi:10.1016/j.scienta.2016.02.017 .

Djurović, Nevenka, Ćosić, Marija, Stričević, Ružica, Savić, Sladjana, Domazet, Milka, "Effect of irrigation regime and application of kaolin on yield, quality and water use efficiency of tomato" in Scientia Horticulturae, 201 (2016):271-278,
https://doi.org/10.1016/j.scienta.2016.02.017 . .

TY  - JOUR
AU  - Djurović, Nevenka
AU  - Domazet, Milka
AU  - Stričević, Ružica
AU  - Počuča, Vesna
AU  - Spalević, V.
AU  - Pivić, Radmila
AU  - Gregorić, Eniko
AU  - Domazet, Uroš
PY  - 2015
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3838
AB  - Water table forecasting plays an important role in the management of groundwater resources in agricultural regions where there are drainage systems in river valleys. The results presented in this paper pertain to an area along the left bank of the Danube River, in the Province of Vojvodina, which is the northern part of Serbia. Two soft computing techniques were used in this research: an adaptive neurofuzzy inference system (ANFIS) and an artificial neural network (ANN) model for one-month water table forecasts at several wells located at different distances from the river. The results suggest that both these techniques represent useful tools for modeling hydrological processes in agriculture, with similar computing and memory capabilities, such that they constitute an exceptionally good numerical framework for generating high-quality models.
PB  - Hindawi Publishing Corporation
T2  - Scientific World Journal
T1  - Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS
VL  - 2015
DO  - 10.1155/2015/742138
ER  - 

@article{
author = "Djurović, Nevenka and Domazet, Milka and Stričević, Ružica and Počuča, Vesna and Spalević, V. and Pivić, Radmila and Gregorić, Eniko and Domazet, Uroš",
year = "2015",
abstract = "Water table forecasting plays an important role in the management of groundwater resources in agricultural regions where there are drainage systems in river valleys. The results presented in this paper pertain to an area along the left bank of the Danube River, in the Province of Vojvodina, which is the northern part of Serbia. Two soft computing techniques were used in this research: an adaptive neurofuzzy inference system (ANFIS) and an artificial neural network (ANN) model for one-month water table forecasts at several wells located at different distances from the river. The results suggest that both these techniques represent useful tools for modeling hydrological processes in agriculture, with similar computing and memory capabilities, such that they constitute an exceptionally good numerical framework for generating high-quality models.",
publisher = "Hindawi Publishing Corporation",
journal = "Scientific World Journal",
title = "Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS",
volume = "2015",
doi = "10.1155/2015/742138"
}

Djurović, N., Domazet, M., Stričević, R., Počuča, V., Spalević, V., Pivić, R., Gregorić, E.,& Domazet, U.. (2015). Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS. in Scientific World Journal
Hindawi Publishing Corporation., 2015.
https://doi.org/10.1155/2015/742138

Djurović N, Domazet M, Stričević R, Počuča V, Spalević V, Pivić R, Gregorić E, Domazet U. Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS. in Scientific World Journal. 2015;2015.
doi:10.1155/2015/742138 .

Djurović, Nevenka, Domazet, Milka, Stričević, Ružica, Počuča, Vesna, Spalević, V., Pivić, Radmila, Gregorić, Eniko, Domazet, Uroš, "Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS" in Scientific World Journal, 2015 (2015),
https://doi.org/10.1155/2015/742138 . .