TY  - JOUR
AU  - Udovički, Božidar
AU  - Đekić, Ilija
AU  - Stanković, S.
AU  - Obradović, A.
AU  - Rajković, Andreja
PY  - 2019
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5085
AB  - The influence of climatic conditions on the levels of fumonisins in maize grown in Serbia was studied over eight years (2008 to 2015), investigating the possible relationship between the levels of fumonisins contamination in maize in relation to registered weather/climatic conditions. Presence of these mycotoxins in maize after harvest was evaluated based on climatic conditions within two periods: 10 days before and 10 days after 50% silking. Categories of fumonisins levels were transformed into classes. Chi-square test for association was used in analysing relationships between results of fumonisins levels and calendar years. Mann-Whitney U-test was used to compare differences between meteorological data of two subsets in years with high and low fumonisins level. There was a statistically significant association between the fumonisins levels and calendar years chi(2)=247.954; (P lt 0.05). This study identified low precipitation and low humidity combined with high solar radiation as a critical parameter combination for elevated levels of fumonisins. The statistically significant difference in relation to some of the examined parameters suggests that maize in Serbian agro-climatic conditions is more susceptible to fungal colonisation, and subsequent fumonisin production in the period of 10 days before 50% silking.
PB  - Wageningen Academic Publishers, Wageningen
T2  - World Mycotoxin Journal
T1  - Impact of climatic conditions on fumonisins in maize grown in Serbia
EP  - 190
IS  - 2
SP  - 183
VL  - 12
DO  - 10.3920/WMJ2018.2364
ER  - 

@article{
author = "Udovički, Božidar and Đekić, Ilija and Stanković, S. and Obradović, A. and Rajković, Andreja",
year = "2019",
abstract = "The influence of climatic conditions on the levels of fumonisins in maize grown in Serbia was studied over eight years (2008 to 2015), investigating the possible relationship between the levels of fumonisins contamination in maize in relation to registered weather/climatic conditions. Presence of these mycotoxins in maize after harvest was evaluated based on climatic conditions within two periods: 10 days before and 10 days after 50% silking. Categories of fumonisins levels were transformed into classes. Chi-square test for association was used in analysing relationships between results of fumonisins levels and calendar years. Mann-Whitney U-test was used to compare differences between meteorological data of two subsets in years with high and low fumonisins level. There was a statistically significant association between the fumonisins levels and calendar years chi(2)=247.954; (P lt 0.05). This study identified low precipitation and low humidity combined with high solar radiation as a critical parameter combination for elevated levels of fumonisins. The statistically significant difference in relation to some of the examined parameters suggests that maize in Serbian agro-climatic conditions is more susceptible to fungal colonisation, and subsequent fumonisin production in the period of 10 days before 50% silking.",
publisher = "Wageningen Academic Publishers, Wageningen",
journal = "World Mycotoxin Journal",
title = "Impact of climatic conditions on fumonisins in maize grown in Serbia",
pages = "190-183",
number = "2",
volume = "12",
doi = "10.3920/WMJ2018.2364"
}

Udovički, B., Đekić, I., Stanković, S., Obradović, A.,& Rajković, A.. (2019). Impact of climatic conditions on fumonisins in maize grown in Serbia. in World Mycotoxin Journal
Wageningen Academic Publishers, Wageningen., 12(2), 183-190.
https://doi.org/10.3920/WMJ2018.2364

Udovički B, Đekić I, Stanković S, Obradović A, Rajković A. Impact of climatic conditions on fumonisins in maize grown in Serbia. in World Mycotoxin Journal. 2019;12(2):183-190.
doi:10.3920/WMJ2018.2364 .

Udovički, Božidar, Đekić, Ilija, Stanković, S., Obradović, A., Rajković, Andreja, "Impact of climatic conditions on fumonisins in maize grown in Serbia" in World Mycotoxin Journal, 12, no. 2 (2019):183-190,
https://doi.org/10.3920/WMJ2018.2364 . .

TY  - CONF
AU  - Radonja, P.
AU  - Stanković, S.
AU  - Popović, Zoran
PY  - 2004
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/685
AB  - Definition of a needed particular process model is based on a combination of weighted known general process models and standard error minimization. The known general process models correspond to the biological processes of growing. The standard error is computed using new data and an ensemble of generated models. General models are based on polynomial functions and neural networks. Applications of polynomial functions of second, third and fourth degrees is analyzed. Supervised learning of the neural networks is based on the Levenberg-Marquardt algorithm. A very brief comment on the Vapnik-Chervonenkis dimension as an important parameter in modern learning theory, is also done in view of the analyzed cases.
PB  - 2004 Seventh Seminar on Neural Network Applications in Elecrtical Engineering, NEUREL 2004
C3  - 2004 Seventh Seminar on Neural Network Applications in Electrical Engineering - Proceedings, NEUREL
T1  - Specific process models derived from extremely small data sets and general process models
EP  - 272
SP  - 267
DO  - 10.1109/neurel.2004.1416592
ER  - 

@conference{
author = "Radonja, P. and Stanković, S. and Popović, Zoran",
year = "2004",
abstract = "Definition of a needed particular process model is based on a combination of weighted known general process models and standard error minimization. The known general process models correspond to the biological processes of growing. The standard error is computed using new data and an ensemble of generated models. General models are based on polynomial functions and neural networks. Applications of polynomial functions of second, third and fourth degrees is analyzed. Supervised learning of the neural networks is based on the Levenberg-Marquardt algorithm. A very brief comment on the Vapnik-Chervonenkis dimension as an important parameter in modern learning theory, is also done in view of the analyzed cases.",
publisher = "2004 Seventh Seminar on Neural Network Applications in Elecrtical Engineering, NEUREL 2004",
journal = "2004 Seventh Seminar on Neural Network Applications in Electrical Engineering - Proceedings, NEUREL",
title = "Specific process models derived from extremely small data sets and general process models",
pages = "272-267",
doi = "10.1109/neurel.2004.1416592"
}

Radonja, P., Stanković, S.,& Popović, Z.. (2004). Specific process models derived from extremely small data sets and general process models. in 2004 Seventh Seminar on Neural Network Applications in Electrical Engineering - Proceedings, NEUREL
2004 Seventh Seminar on Neural Network Applications in Elecrtical Engineering, NEUREL 2004., 267-272.
https://doi.org/10.1109/neurel.2004.1416592

Radonja P, Stanković S, Popović Z. Specific process models derived from extremely small data sets and general process models. in 2004 Seventh Seminar on Neural Network Applications in Electrical Engineering - Proceedings, NEUREL. 2004;:267-272.
doi:10.1109/neurel.2004.1416592 .

Radonja, P., Stanković, S., Popović, Zoran, "Specific process models derived from extremely small data sets and general process models" in 2004 Seventh Seminar on Neural Network Applications in Electrical Engineering - Proceedings, NEUREL (2004):267-272,
https://doi.org/10.1109/neurel.2004.1416592 . .