Predicting deoxynivalenol in oats under conditions representing Scandinavian production regions.
Deoxynivalenol (DON) in cereals, produced by Fusarium fungi, cause poisoning in humans and animals. Fusarium infections in cereals are favoured by humid conditions. Host species are susceptible mainly during the anthesis stage. Infections are also positively correlated with a regional history of Fusarium infections, frequent cereal production and non-tillage field management practices. Here, previously developed process-based models based on relative air humidity, rain and temperature conditions, Fusarium sporulation, host phenology and mycelium growth in host tissue were adapted and tested on oats. Model outputs were used to calculate risk indices. Statistical multivariate models, where independent variables were constructed from weather data, were also developed. Regressions of the risk indices obtained against DON concentrations in field experiments on oats in Sweden and Norway 2012-14 had coefficient of determination values (R2) between 0.84 and 0.88. Regressions of the same indices against DON concentrations in oat samples averaged for 11 × 11 km grids in farmers' fields in Sweden 2012-14 resulted in R2values between 0.27 and 0.41 for randomly selected grids and between 0.31 and 0.62 for grids with average DON concentration above 1000 μg kg-1grain in the previous year. When data from all three years were evaluated together, a cross-validated statistical partial least squares model resulted in R2= 0.70 and a standard error of cross-validation (SECV) = 522 μg kg-1grain for the period 1 April-28 August in the construction of independent variables and R2= 0.54 and SECV = 647 μg kg-1grain for 1 April-23 June. Factors that were not accounted for in this study probably explain large parts of the variation in DON among samples and make further model development necessary before these models can be used practically. DON prediction in oats could potentially be improved by combining weather-based risk index outputs with agronomic factors.
a Department of Agricultural Technology and Systems Analysis , Norwegian Institute of Bioeconomy Research (NIBIO) , Ås , Norway.
Tomas
T
Persson
b Department of Crop Production Ecology , Swedish University of Agricultural Sciences (SLU) , Uppsala , Sweden.
Henrik
H
Eckersten
c Norwegian Institute of Bioeconomy Research , Division of Biotechnology and Plant Health , Ås , Norway.
Oleif
O
Elen
a Department of Agricultural Technology and Systems Analysis , Norwegian Institute of Bioeconomy Research (NIBIO) , Ås , Norway.
Anne-Grete
AG
Roer Hjelkrem
d Department of Plant Breeding , Swedish University of Agricultural Sciences (SLU) , Alnarp , Sweden.
Joel
J
Markgren
e Department of Soil and Environment , Swedish University of Agricultural Sciences (SLU) , Skara , Sweden.
Mats
M
Söderström
f Agroväst , Skara , Sweden.
Thomas
T
Börjesson
D018554:Avena / Q000737:chemistry*; D005658:Fungi / Q000737:chemistry; D009664:Norway; D013548:Sweden; D014255:Trichothecenes / Q000032:analysis* / Q000506:poisoning
D014255:Trichothecenes; C007262:deoxynivalenol
DON; Fusarium graminearum; fungal infection; grain quality; multivariate models; risk indices; toxicity