Machine Learning Techniques for Soybean Charcoal Rot Disease Prediction
نویسندگان
چکیده
منابع مشابه
Field screening of safflower genotypes for resistance to charcoal rot disease
Nineteen safflower genotypes (Carthamus tinctorius L.) that originated from different geographical regions were screening for their response to infection with Macrophomina phaseolina, the charcoal rot pathogen at the research farm of Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran, in 2005. The plants were evaluated for length and width of necrotic lesion at the e...
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Charcoal rot of sorghum causedby the fungus ~acrophorfdna phaseolina is a root andstalk rot disease of great destructive potential in most sorghum-growing regions. Improved, highyielding cultivars under good management tend to be very susceptible to the disease. M. phaseolina is a common soilborne, nonaggressive, and plurivorous pathogen that attacks plants whose vigor has been reduced by unfav...
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Plant growth promoting rhizobacteria (PGPR) are potential agents to control plant pathogens and their combined use with biopesticides such as phosphites may constitute a novel strategy to incorporate in disease management programs. In the present study, 11 bacterial isolates were selected on the basis of their antagonistic activity against Macrophomina phaseolina in dual-culture tests, and thei...
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ژورنال
عنوان ژورنال: Frontiers in Plant Science
سال: 2020
ISSN: 1664-462X
DOI: 10.3389/fpls.2020.590529