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Browsing by Autor "Anderson Cruz"

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    Temporal Dynamics of Wheat Blast Epidemics and Disease Measurements Using Multispectral Imagery
    (American Phytopathological Society, 2019) Carlos Góngora‐Canul; Jorge David Salgado; Daljit Singh; Anderson Cruz; Lorenzo Cotrozzi; John J. Couture; Marcia G. Rivadeneira; Giovana Cruppe; Barbara Valent; T. C. Todd
    Wheat blast is a devastating disease caused by the <i>Triticum</i> pathotype of <i>Magnaporthe oryzae</i>. <i>M. oryzae Triticum</i> is capable of infecting leaves and spikes of wheat. Although symptoms of wheat spike blast (W<sub>S</sub>B) are quite distinct in the field, symptoms on leaves (W<sub>L</sub>B) are rarely reported because they are usually inconspicuos. Two field experiments were conducted in Bolivia to characterize the change in W<sub>L</sub>B and W<sub>S</sub>B intensity over time and determine whether multispectral imagery can be used to accurately assess W<sub>S</sub>B. Disease progress curves (DPCs) were plotted from W<sub>L</sub>B and W<sub>S</sub>B data, and regression models were fitted to describe the nature of W<sub>S</sub>B epidemics. W<sub>L</sub>B incidence and severity changed over time; however, the mean W<sub>L</sub>B severity was inconspicuous before wheat began spike emergence. Overall, both Gompertz and logistic models helped to describe W<sub>S</sub>B intensity DPCs fitting classic sigmoidal shape curves. Lin's concordance correlation coefficients were estimated to measure agreement between visual estimates and digital measurements of W<sub>S</sub>B intensity and to estimate accuracy and precision. Our findings suggest that the change of wheat blast intensity in a susceptible host population over time does not follow a pattern of a monocyclic epidemic. We have also demonstrated that W<sub>S</sub>B severity can be quantified using a digital approach based on nongreen pixels. Quantification was precise (0.96 < <i>r</i>> 0.83) and accurate (0.92 < ρ > 0.69) at moderately low to high visual W<sub>S</sub>B severity levels. Additional sensor-based methods must be explored to determine their potential for detection of W<sub>L</sub>B and W<sub>S</sub>B at earlier stages.

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