Unraveling the Environmental Drivers of <i>Phyllachora maydis</i> Spore Release and Dispersal Using Spore Trapping and qPCR

<i>Phyllachora maydis</i>, the causal agent of tar spot of corn, is an emerging disease in the United States and Canada. This study aimed to improve our understanding of <i>P. maydis</i> spore release and dispersal by utilizing spore trapping and quantitative PCR to assess the relationship between spore capture and environmental conditions. Burkard and rotating-arm air samplers were deployed in Michigan corn fields with natural disease pressure from 2021 to 2023. Correlation analysis and mixed-effects logistic regression were applied to examine the impact of environmental factors on spore capture. Through an exhaustive screening of candidate logistic regression models, results indicated that spore quantity is significantly negatively correlated with daily summaries of minimum temperature (<i>P</i> < 0.05, τ = -0.24), mean temperature (<i>P</i> < 0.05, τ = -0.25), maximum precipitation rate (<i>P</i> < 0.05, τ = -0.33), and durations of temperature between 16.6 to 23°C and relative humidity over 85% (<i>P</i> < 0.001, τ = -0.27). Logistic regression models frequently incorporated temperature and humidity predictors, and the best performing model used daily averages of mean temperature and maximum humidity to discriminate between the presence and absence of spore detection, achieving a balanced accuracy of 85%. Across all site-years, spore traps did not detect <i>P. maydis</i> spores prior to the visible detection of tar spot symptoms but did detect spores before tar spot incidence reached 100%. Through this study, the environmental drivers of spore release and dispersal were described to fill current knowledge gaps in the tar spot disease cycle. Additionally, a methodology for the capture and molecular quantification of airborne <i>P</i>. <i>maydis</i> spores is described, which will benefit future research.