scholarly journals Defining and characterizing Aflatoxin contamination risk areas for corn in Georgia, USA: Adjusting for collinearity and spatial correlation

2018 ◽  
Vol 28 ◽  
pp. 84-104 ◽  
Author(s):  
EunHye Yoo ◽  
Ruth Kerry ◽  
Ben Ingram ◽  
Brenda Ortiz ◽  
Brian Scully
Keyword(s):  
Spatial Correlation ◽  
Aflatoxin Contamination ◽  
Contamination Risk ◽  
Risk Areas

A 2019 STUDY ON TOTAL AFLATOXINS IN ROMANIAN MAIZE (ZEA MAYS L.) SAMPLES

2020 ◽  
Vol 13 ◽  
pp. 1-8
Author(s):  
Irina Zmeu ◽  
Elena Mirela Cucu ◽  
Alina Alexandra Dobre ◽  
Hellene Casian
Keyword(s):  
Cropping Systems ◽  
Aflatoxin Contamination ◽  
Health Concern ◽  
Human Consumption ◽  
Physical Treatment ◽  
Agronomic Practices ◽  
Commission Regulation ◽  
Maize Sample ◽  
Food And Feed ◽  
Risk Areas

Mycotoxin contamination represents a clear public health concern. In this context, a maize survey was conducted in Romania, to monitor the occurrence of total aflatoxins in maize samples collected during the 2019 growing season from fields located in all counties. A total of 95 maize samples were collected along with information regarding the specific location of fields, the applied agronomic practices and cropping systems. ELISA method was used for the quantification of AFs. The results showed 88 contaminated samples. Only one sample registered aflatoxin levels higher than the limit of 10.00 μg/kg, settled by the Commission Regulation (EC) No 1881/2006 for maize to be subjected to soring or other physical treatment before human consumption or use as an ingredient in foodstuffs. The highest AFs level was 77.59 μg/kg, noted by a maize sample from Argeș County (the South-Muntenia development region, macro region 3). When referring to the analysed samples, the total aflatoxin contamination was independent of the type of hybrid, but strongly influenced by the pedo-climatic differences between counties. The southern counties proved to represent critical risk areas for aflatoxin contamination when referring to maize crops. These results highlight the importance of an effective and sustainable mycotoxin management along the food and feed chain, as well as the need of mapping the mycotoxin risk areas.

scholarly journals Determination of Aflatoxin Contamination Risk along Maize Distribution Chain (Case study: A Maize Enterprise in East Lampung)

2020 ◽  
Vol 537 ◽  
pp. 012039
Author(s):  
David Septian Sumanto Marpaung ◽  
Anggia Indriyani ◽  
Rizqa Ula Fahadha ◽  
Intan Mardiono ◽  
Agus Haryanto ◽  
...  
Keyword(s):  
Aflatoxin Contamination ◽  
Contamination Risk ◽  
Distribution Chain

Determining Corn Aflatoxin Risk within Counties in Southern Georgia, USA using Remotely Sensed Data

2017 ◽  
Vol 8 (2) ◽  
pp. 640-644 ◽  
Author(s):  
R. Kerry ◽  
B. R. Ingram ◽  
F. Navarro ◽  
B. V. Ortiz ◽  
B. T. Scully
Keyword(s):  
Management Strategies ◽  
Aflatoxin Contamination ◽  
County Level ◽  
Remotely Sensed Data ◽  
Extension Services ◽  
Drought Conditions ◽  
Eastern Usa ◽  
Risk Areas ◽  
Southern Georgia

Aflatoxin contamination of food can cause liver cancer in humans and animals. Identification of aflatoxin risk areas allows farmers to adapt management strategies before planting, during growth and at harvest. Aflatoxin contamination is driven by high temperatures and drought conditions and crops grown on light textured soil in the south eastern USA are at particular risk. Aflatoxin assessment is expensive so a role of extension services in precision farming is to identify the areas most at risk of contamination so that farmers can adapt irrigation or planting strategies. This paper extends a county-level risk factors approach developed by Kerry et al. (2017) by investigating the use of NDVI and thermal IR data to indicate drought stress and thus aflatoxin contamination risk at the sub-county level.

scholarly journals Climate Change Impact on Aflatoxin Contamination Risk in Malawi's Maize Crops

2020 ◽  
Vol 4 ◽  
Author(s):  
Erika A. Warnatzsch ◽  
David S. Reay ◽  
Marco Camardo Leggieri ◽  
Paola Battilani
Keyword(s):  
Climate Models ◽  
Mechanistic Model ◽  
Climatic Conditions ◽  
Aflatoxin Contamination ◽  
Annual Rainfall ◽  
Climatic Data ◽  
Contamination Risk ◽  
Aquacrop Model ◽  
Maize Varieties ◽  
The Impact

Malawi is one of the poorest countries in the world, with high levels of malnutrition and little domestic mycotoxin regulation. Domestically grown maize is the largest single source of calories in the country and a large contributor to the economy. This research uses Regional Climate Models (RCMs) to determine the climatic conditions in the three regions of Malawi (Northern, Central and Southern) in 2035 (2020–2049) and 2055 (2040–2069) as compared to the baseline climate of 1971–2000. This climatic data is then used as inputs to the Food and Agriculture Organization's (FAO) AquaCrop model to assess the impact on the growth cycle of two maize varieties grown in each region and sown at three different times during the planting season. Finally, AFLA-maize, a mechanistic model, is applied to determine the impact of these projected changes on the aflatoxin B1 (AFB1) contamination risk. We find that Malawi's climate is projected to get warmer (by 1–2.5°C) and drier (reduction of 0–4% in annual rainfall levels) in all regions, although some uncertainty remains around the changes in precipitation levels. These climatic changes are expected to shorten the growing season for maize, bringing the harvest date forward by between 10 and 25 days for the short-development variety and between 25 and 65 days for the long-development variety. These changes are also projected to make the pre-harvest conditions for Malawian maize more favorable for AFB1 contamination and risk maps for the studied conditions were drawn. Exceedances of EU safety thresholds are expected to be possible in all regions, with the risk of contamination moving northwards in a warming climate.

TBE in Romania

2019 ◽  
Author(s):  
Lidia Chitimia-Dobler ◽  
Adriana Hristea ◽  
Wilhelm Erber ◽  
Tamara Vuković Janković
Keyword(s):  
Epidemiological Survey ◽  
Carpathian Mountains ◽  
Territorial Expansion ◽  
Tbe Virus ◽  
Natural Foci ◽  
Risk Areas

Based on an epidemiological survey performed, human TBE- virus neuroinfections may have an endemic emergent course, and natural foci are in full territorial expansion. Identified risk areas are Tulcea district, Transylvania, at the base of the Carpathian Mountains and the Transylvanian Alps.

TBE in Romania

2020 ◽  
Keyword(s):  
Surveillance System ◽  
Epidemiological Survey ◽  
Passive Surveillance ◽  
Notifiable Disease ◽  
Territorial Expansion ◽  
Country Level ◽  
Regular Screening ◽  
Passive Surveillance System ◽  
Natural Foci ◽  
Risk Areas

Based on an epidemiological survey,1 human TBEV neuroinfections may have an endemic emergent course, and natural foci are in full territorial expansion. Identified risk areas are Tulcea district, Transylvania, at the base of the Carpathian Mountains and the Transylvanian Alps.2,3 TBE has been a notifiable disease since 1996. Surveillance of TBE is not done at the country level, only regionally in some counties (northern/central/western part, close to Hungary). The passive surveillance system was implemented in 2008. However, there is no regular screening and the relative risk of contracting this disease is unknown. In 1999, an outbreak of TBE in humans was recorded with a total of at least 38 human cases.4

Sign in / Sign up

Export Citation Format

Share Document