TY - JOUR
T1 - Mycotoxin occurrence in maize produced in Northern Italy over the years 2009-2011 and focus on the role of crop related factors
AU - Camardo Leggieri, Marco
AU - Bertuzzi, Terenzio
AU - Pietri, Amedeo
AU - Battilani, Paola
PY - 2015
Y1 - 2015
N2 - The occurrence of mycotoxins associated with Fusarium spp. and Aspergillus flavus in Northern Italy,
and the role of cropping systems, were investigated on 140 field samples collected over the years 2009–2011. Samples
were analysed for fumonisins B1 and B2 (FBs), aflatoxins B1, B2, G1 and G2 (AFs), deoxynivalenol (DON) and
zearalenone (ZEN) using validated analytical methods. Information on: maize hybrid, preceding crop, tillage applied,
mineral nutrition, pest and disease control, severity of European Corn Borer (ECB) attack, sowing and harvesting
dates, kernel moisture at harvesting and longitude of the sampled province, were also collected. During
this period there were distinct differences in FBs and AFs concentrations between years and geographic origins,
and very low contamination with DON and ZEN was always found. The incidence of AFs exceeded 75% across
all samples, and was almost 100% for FBs. The meteorological trends were quite different in the 3 years surveyed.
2009 was the coldest in June and the warmest in August, 2010 the most humid, and in 2011 cold weather occurred
during flowering and dry conditions during ripening. The run of a logistic equation with the backward stepwise
approach selected three parameters, (seeding week, ECB severity and longitude of sampling province) to predict
AFB1 contamination and four parameters (year, sowing week, ECB severity and longitude of sampling province)
to predict FB contamination. The internal validation gave good results, with 76% correct predictions. The probability
of harvesting maize with more than 5 μg kg-1 of AFB1 varied between 86 and 5%, and the probability of
harvesting maize with more than 4,000 μg kg-1 of FBs varied between 81 and 2%, respectively, for conducive and
non-conducive environments. Therefore, considerable variability was found even if a limited area and only 3 years
were considered.
AB - The occurrence of mycotoxins associated with Fusarium spp. and Aspergillus flavus in Northern Italy,
and the role of cropping systems, were investigated on 140 field samples collected over the years 2009–2011. Samples
were analysed for fumonisins B1 and B2 (FBs), aflatoxins B1, B2, G1 and G2 (AFs), deoxynivalenol (DON) and
zearalenone (ZEN) using validated analytical methods. Information on: maize hybrid, preceding crop, tillage applied,
mineral nutrition, pest and disease control, severity of European Corn Borer (ECB) attack, sowing and harvesting
dates, kernel moisture at harvesting and longitude of the sampled province, were also collected. During
this period there were distinct differences in FBs and AFs concentrations between years and geographic origins,
and very low contamination with DON and ZEN was always found. The incidence of AFs exceeded 75% across
all samples, and was almost 100% for FBs. The meteorological trends were quite different in the 3 years surveyed.
2009 was the coldest in June and the warmest in August, 2010 the most humid, and in 2011 cold weather occurred
during flowering and dry conditions during ripening. The run of a logistic equation with the backward stepwise
approach selected three parameters, (seeding week, ECB severity and longitude of sampling province) to predict
AFB1 contamination and four parameters (year, sowing week, ECB severity and longitude of sampling province)
to predict FB contamination. The internal validation gave good results, with 76% correct predictions. The probability
of harvesting maize with more than 5 μg kg-1 of AFB1 varied between 86 and 5%, and the probability of
harvesting maize with more than 4,000 μg kg-1 of FBs varied between 81 and 2%, respectively, for conducive and
non-conducive environments. Therefore, considerable variability was found even if a limited area and only 3 years
were considered.
KW - aflatoxins
KW - logistic regession
KW - modelling
KW - prediction
KW - aflatoxins
KW - logistic regession
KW - modelling
KW - prediction
UR - http://hdl.handle.net/10807/79334
U2 - 10.14601/Phytopathol_Mediterr-14632
DO - 10.14601/Phytopathol_Mediterr-14632
M3 - Article
SN - 0031-9465
SP - 212
EP - 221
JO - Phytopathologia Mediterranea
JF - Phytopathologia Mediterranea
ER -