Weather Patterns Associated with DON Levels in Norwegian Spring Oat Grain: A Functional Data Approach

Plants

Simon G. Edwards¹  Morten Lillemo²  Heidi Udnes Aamot³  Ingerd Skow Hofgaard³  Guro Brodal³  Aina Lundon Russenes⁴  Anne-Grete Roer Hjelkrem⁴  Espen Sannes Sørensen⁵ 

[1] Centre for Integrated Pest Management, Harper Adams University, Newport TF 10 8NB, UK;Department of Plant Sciences, Norwegian University of Life Sciences (NMBU), 1432 Ås, Norway;Division of Biotechnology and Plant Health, Norwegian Institute of Bioeconomy Research (NIBIO), 1431 Ås, Norway;Division of Food Production and Society, Norwegian Institute of Bioeconomy Research (NIBIO), 1431 Ås, Norway;Graminor Breeding, 2322 Ridabu, Norway;

关键词: deoxynivalenol;    Fusarium;    FHB;    mycotoxin;    phenological model;   

DOI  :  10.3390/plants11010073

来源: DOAJ

【 摘 要 】

Fusarium graminearum is regarded as the main deoxynivalenol (DON) producer in Norwegian oats, and high levels of DON are occasionally recorded in oat grains. Weather conditions in the period around flowering are reported to have a high impact on the development of Fusarium head blight (FHB) and DON in cereal grains. Thus, it would be advantageous if the risk of DON contamination of oat grains could be predicted based on weather data. We conducted a functional data analysis of weather-based time series data linked to DON content in order to identify weather patterns associated with increased DON levels. Since flowering date was not recorded in our dataset, a mathematical model was developed to predict phenological growth stages in Norwegian spring oats. Through functional data analysis, weather patterns associated with DON content in the harvested grain were revealed mainly from about three weeks pre-flowering onwards. Oat fields with elevated DON levels generally had warmer weather around sowing, and lower temperatures and higher relative humidity or rain prior to flowering onwards, compared to fields with low DON levels. Our results are in line with results from similar studies presented for FHB epidemics in wheat. Functional data analysis was found to be a useful tool to reveal weather patterns of importance for DON development in oats.

【 授权许可】

Unknown