Microbial Quality of Irrigation Water in Serbia: Risks to Food Safety

Author(s):  
Željka Rudić ◽  
Igor Kljujev ◽  
Bojana Vujović ◽  
Mile Božić ◽  
Vera Raičević
2009 ◽  
Vol 106 (2) ◽  
pp. 442-454 ◽  
Author(s):  
B. Fremaux ◽  
T. Boa ◽  
A. Chaykowski ◽  
S. Kasichayanula ◽  
J. Gritzfeld ◽  
...  

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1708
Author(s):  
Matthew Stocker ◽  
Dong Jeon ◽  
Ekaterina Sokolova ◽  
Hoonsoo Lee ◽  
Moon Kim ◽  
...  

Evaluating the microbial quality of irrigation water is essential for the prevention of foodborne illnesses. Generic Escherichia coli (E. coli) is used as an indicator organism to estimate the microbial quality of irrigation water. Monitoring E. coli concentrations in irrigation water sources is commonly performed using water samples taken from a single depth. Vertical gradients of E. coli concentrations are typically not measured or are ignored; however, E. coli concentrations in water bodies can be expected to have horizontal and vertical gradients. The objective of this work was to research 3D distributions of E. coli concentrations in an irrigation pond in Maryland and to estimate the dynamics of E. coli concentrations at the water intake during the irrigation event using hydrodynamic modeling in silico. The study pond is about 22 m wide and 200 m long, with an average depth of 1.5 m. Three transects sampled at 50-cm depth intervals, along with intensive nearshore sampling, were used to develop the initial concentration distribution for the application of the environmental fluid dynamic code (EFDC) model. An eight-hour irrigation event was simulated using on-site data on the wind speed and direction. Substantial vertical and horizontal variations in E. coli concentrations translated into temporally varying concentrations at the intake. Additional simulations showed that the E. coli concentrations at the intake reflect the 3D distribution of E. coli in the limited pond section close to the intake. The 3D sampling revealed E. coli concentration hot spots at different depths across the pond. Measured and simulated 3D E. coli concentrations provide improved insights into the expected microbial water quality of irrigation water compared with 1D or 2D representations of the spatial variability of the indicator concentration.


2017 ◽  
Vol 65 ◽  
pp. 105-113 ◽  
Author(s):  
Luana Tombini Decol ◽  
Letícia Sopeña Casarin ◽  
Claudia Titze Hessel ◽  
Ana Carolina Fösch Batista ◽  
Ana Allende ◽  
...  

2012 ◽  
Vol 54 (3) ◽  
pp. 217-224 ◽  
Author(s):  
Y. Pachepsky ◽  
J. Morrow ◽  
A. Guber ◽  
D. Shelton ◽  
R. Rowland ◽  
...  

2013 ◽  
Vol 129 ◽  
pp. 145-151 ◽  
Author(s):  
D.R. Shelton ◽  
L.A. Kiefer ◽  
Y.A. Pachepsky ◽  
G. Martinez ◽  
G.W. McCarty ◽  
...  

1999 ◽  
Vol 2 (3) ◽  
pp. 642-644
Author(s):  
Muhammad Jamal Khan ◽  
Riaz A. Khattak . ◽  
N. Daula .

Agriculture ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 18
Author(s):  
Joycelyn Quansah ◽  
Cesar Escalante ◽  
Angela Kunadu ◽  
Firibu Saalia ◽  
Jinru Chen

Vegetable farming is the most practiced urban agriculture in Ghana. A previous study of our laboratory revealed poor microbial quality of, and presence of Salmonella on, leafy green vegetables grown or sold in Accra, Ghana. The aims of this study were to determine agricultural practices of urban vegetable farmers and the association between agricultural practices and microbial safety of vegetables produced. A survey was conducted among 102 farmers from 12 farming areas who produced exotic and indigenous leafy greens in Accra, Ghana to identify their farming practices. It was observed that water from waste drains pumped into shallow wells was used for irrigation by 70% of the farmers. Incompletely composted manure was commonly used (99%) in farming. Vegetables were usually harvested using bare hands (96%) and knives (73%) and transported mainly in sacks (94%) to market centers under non-refrigerated conditions. Over 60% of the farmers disagreed that the use of polluted irrigation water can contaminate vegetables or make consumers sick. According to the seemingly unrelated regression model, farmers with no formal education and less food safety knowledge and had been planting on their current farmlands for several years were likely to produced vegetables with higher fecal coliform and Enterococcus sp. counts compared to other farmers. Vegetables cultivated by farmers who disagreed that the use of contaminated water can make consumers sick were associated with the production of vegetables with high fecal coliform and Enterococcus sp. counts. Education and improved agricultural and post-harvest handling practices should be encouraged among vegetable producers in the area to improve food safety.


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