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入院患者18人 特定の抗生物質が効かないVREに感染 奈良 (NHK)

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Temporal Dynamics of wheat blast epidemics and agreement between remotely sensed data measurements and visual estimations of wheat spike blast (WSB) under field conditions.

著者 Gongora-Canul C , Salgado J , Singh D , Cruz A , Cotrozzi L , Couture JJ , Rivadeneira MG , Cruppe G , Valent B , Todd T , Poland J , Cruz CD
Phytopathology.2019 Sep 18 ; ():.
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Wheat blast is a devastating disease caused by the Triticum pathotype of Magnaporthe oryzae (MoT). MoT is capable of infecting leaves and spikes of wheat. Although symptoms of spike blast (WSB) are quite distinct in the field, symptoms on leaves (WLB) are rarely reported since they are usually less noticeable. Two field experiments were conducted in Bolivia to characterize the change in WLB and WSB intensity over time and determine if multispectral imagery can be used to accurately assess WSB. Disease progress curves (DPCs) were plotted from WLB and WSB data, and regression models were fitted to describe the nature of WsB epidemics. Although WLB severity was low during the vegetative stages, there was a bimodal shape when WLB incidence DPCs were plotted. Overall, both Gompertz and Logistic models helped to describe WSB intensity DPCs fitting classic sigmoidal shape curves. Lin's concordance correlation coefficients were estimated to measure agreement between visual estimates and digital measurements of WSB 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 WSB severity can be quantified using a digital approach based on non-green pixels. Quantification was precise (0.96<r>0.83) and accurate (0.92<ρ>0.69) at moderately-low-to-high visual WSB severity levels. Additional sensor-based methods must be explored to determine their potential for detection of WLB and WSB at earlier stages.
PMID: 31532351 [PubMed - as supplied by publisher]
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