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Utility of a multilevel modelling approach to investigate differences in isolation frequency of Fusarium culmorum in agricultural soil across the Inland Pacific Northwest.
Phytopathology 2019 January 18
The plant pathogen Fusarium culmorum represents an inoculum source capable of contaminating grains with deoxynivalenol (DON) in the Inland Northwest (INW) region of the United States. A multilevel modelling approach utilizing varying intercepts for different sampling quadrats, fields, and iterations in the dataset was performed to characterize differences in isolation frequency of F. culmorum collected during a two-year soil survey. Differences in the isolation frequency of F. culmorum varied the most by sampled field followed by quadrat and iteration, respectively. Higher relative elevation within the sampling region of a field limited the amount of F. culmorum recovered. The effect of annual climate variables was investigates using combinations of single and multivariable model equations with linear and polynomial terms. Differences across fields were related to annual precipitation and evapotranspiration, and further quantified by incorporating a slope parameter into the model equation. The effect of annual precipitation and evapotranspiration on isolation frequency of F. culmorum was determined to be positive and negative, respectively. The same data analysis approach was applied to an external dataset of F. culmorum isolation frequencies in grains from fields across eastern Australia using annual precipitation and growing degree-days.. These results represent a case study for investigating variability within datasets containing overdispersed fungal counts and incorporating climate summaries as predictor variables.
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