Predicting plant disease epidemics from functionally represented weather series

Philosophical Transactions of the Royal Society B: Biological Sciences

Volumn 374, Issue 1775, 2019, Pages

  Shah, D A ^a   Paul, P A ^b   De Wolf, E D ^a   Madden, L V ^b  

^a KANSAS STATE UNIVERSITY   (United States)

^b OHIO STATE UNIVERSITY   (United States)

Author keywords

Fusarium head blight; Scalar on function regression; Wheat scab

Indexed keywords

ALGORITHM; ENVIRONMENTAL CONDITIONS; EPIDEMIC; FLOWERING; INFECTIOUS DISEASE; PATHOLOGY; PEST OUTBREAK; REGRESSION ANALYSIS; TIME SERIES; WHEAT;

ANIMALIA; FUSARIUM; TRITICUM AESTIVUM;

ALGORITHM; ECOSYSTEM; FUSARIUM; MICROBIOLOGY; PHYSIOLOGY; PLANT DISEASE; SEASON; STATISTICAL MODEL; WEATHER; WHEAT;

ALGORITHMS; ECOSYSTEM; FUSARIUM; LOGISTIC MODELS; PLANT DISEASES; SEASONS; TRITICUM; WEATHER;

EID: 85065418651     PISSN: 09628436     EISSN: 14712970     Source Type: Journal    
DOI: 10.1098/rstb.2018.0273     Document Type: Article

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