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• W2625409295 abstract "Dispersal of urediniospores by wind is the primary means of spread for Phakopsora pachyrhizi, the cause of soybean rust. Our research focused on the short-distance movement of urediniospores from within the soybean canopy and up to 61 m from field-grown rust-infected soybean plants. Environmental variables were used to develop and compare models including the least absolute shrinkage and selection operator regression, zero-inflated Poisson/regular Poisson regression, random forest, and neural network to describe deposition of urediniospores collected in passive and active traps. All four models identified distance of trap from source, humidity, temperature, wind direction, and wind speed as the five most important variables influencing short-distance movement of urediniospores. The random forest model provided the best predictions, explaining 76.1 and 86.8% of the total variation in the passive- and active-trap datasets, respectively. The prediction accuracy based on the correlation coefficient (r) between predicted values and the true values were 0.83 (P < 0.0001) and 0.94 (P < 0.0001) for the passive and active trap datasets, respectively. Overall, multiple machine learning techniques identified the most important variables to make the most accurate predictions of movement of P. pachyrhizi urediniospores short-distance." @default.
• W2625409295 created "2017-06-23" @default.
• W2625409295 creator A5009365631 @default.
• W2625409295 creator A5027998258 @default.
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• W2625409295 date "2017-10-01" @default.
• W2625409295 modified "2023-10-13" @default.
• W2625409295 title "Prediction of Short-Distance Aerial Movement of <i>Phakopsora pachyrhizi</i> Urediniospores Using Machine Learning" @default.
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• W2625409295 doi "https://doi.org/10.1094/phyto-04-17-0138-fi" @default.
• W2625409295 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28609157" @default.
• W2625409295 hasPublicationYear "2017" @default.
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