Asian Soybean Rust

PP-235, a 4-page illustrated fact sheet by Wayne M. Jurick II, Dario F. Narvaez, Carrie L. Harmon, James J. Marois, David L. Wright, and Philip F. Harmon, describes this fungal plant disease new to the US since 2004, its symptoms, causal organism, disease cycle and epidemiology, diagnosis, and management. Includes links to web-based resources and references. Published by the UF Department of Plant Pathology, July 2007.

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2006 Florida Plant Disease Management Guide: Guava (Psidium guajava)

EDIS ◽

10.32473/edis-pg133-2006 ◽

2006 ◽

Vol 2006 (13) ◽

Author(s):

Michael Merida ◽

Aaron J. Palmateer

Keyword(s):

Plant Pathology ◽

Disease Management ◽

Plant Disease ◽

Psidium Guajava ◽

Causal Organism ◽

Disease Cycle ◽

Fact Sheet ◽

Pathology Department ◽

Plant Disease Management

PP-232, a 9-page fact sheet by Michael Merida and Aaron J. Palmateer, describes several diseases of guava caused by fungi and stramenopile, describing the symptoms, causal organism, disease cycle and epidemiology, and management for each. Includes references. Published by the UF Plant Pathology Department as part of the Plant Disease Management Guide, June 2006.

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Potato Agriculture, Late Blight Science, and the Molecularization of Plant Pathology

Historical Studies in the Natural Sciences ◽

10.1525/hsns.2008.38.2.223 ◽

2008 ◽

Vol 38 (2) ◽

pp. 223-257 ◽

Cited By ~ 2

Author(s):

R. Steven Turner

Keyword(s):

Biological Sciences ◽

Plant Pathology ◽

Late Blight ◽

Plant Disease ◽

Research Literature ◽

Biological Science ◽

Research Front ◽

Causal Organism ◽

And Control ◽

Integrated Study

By the mid-1980s nucleic-acid based methods were penetrating the farthest reaches of biological science, triggering rivalries among practitioners, altering relationships among subfields, and transforming the research front. This article delivers a "bottom up" analysis of that transformation at work in one important area of biological science, plant pathology, by tracing the "molecularization" of efforts to understand and control one notorious plant disease——the late blight of potatoes. It mobilizes the research literature of late blight science as a tool through which to trace the changing typography of the research front from 1983 to 2003. During these years molecularization intensified the traditional fragmentation of the late blight research community, even as it dramatically integrated study of the causal organism into broader areas of biology. In these decades the pathogen responsible for late blight, the oomycete Phytophthora infestans, was discovered to be undergoing massive, frightening, and still largely unexplained genetic diversification——a circumstance that lends the episode examined here an urgency that reinforces its historiographical significance as a casestudy in the molecularization of the biological sciences.

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Bacterial Spot of Pepper

EDIS ◽

10.32473/edis-pp362-2021 ◽

2021 ◽

Vol 2021 (1) ◽

Author(s):

Camille McAvoy ◽

Pamela Roberts ◽

Jeffrey B. Jones

Keyword(s):

Plant Pathology ◽

Disease Management ◽

Host Resistance ◽

Chemical Control ◽

Control Measures ◽

Bacterial Spot ◽

Causal Organism ◽

Disease Cycle ◽

Fact Sheet ◽

Chile Peppers

Bacterial spot, caused by three species of Xanthomonas, is a limiting disease problem on all peppers. This new 4-page fact sheet provides information on symptoms, causal organism and host resistance, disease cycle and epidemiology, and disease management (including cultural and sanitation practices, chemical control measures and the use of Actigard® in chile peppers). Written by Camille McAvoy, Pamela Roberts, and Jeffrey Jones, and published by the UF/IFAS Plant Pathology Department.https://edis.ifas.ufl.edu/pp362

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Cucumber Anthracnose in Florida

EDIS ◽

10.32473/edis-pp266-2009 ◽

2009 ◽

Vol 2009 (4) ◽

Author(s):

Jessica Palenchar ◽

Danielle D. Treadwell ◽

Lawrence E. Datnoff ◽

Amanda J. Gevens

Keyword(s):

Plant Pathology ◽

Causal Organism ◽

Disease Cycle ◽

Fact Sheet

PP266, a 5-page illustrated fact sheet by Jessica Palenchar, Danielle D. Treadwell, Lawrence E. Datnoff, and Amanda J. Gevens, describes the symptoms, causal organism, disease cycle, and management of cucumber anthracnose in Florida. Includes references. Published by the UF Department of Plant Pathology, May 2009. PP266/PP266: Cucumber Anthracnose in Florida (ufl.edu)

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Spatio-Temporal Modeling and Simulation of Asian Soybean Rust Based on Fuzzy System

Sensors ◽

10.3390/s22020668 ◽

2022 ◽

Vol 22 (2) ◽

pp. 668

Author(s):

Nayara Longo Sartor Zagui ◽

André Krindges ◽

Anna Diva Plasencia Lotufo ◽

Carlos Roberto Minussi

Keyword(s):

Environmental Conditions ◽

Fuzzy System ◽

Plant Disease ◽

Real Data ◽

Soybean Rust ◽

Advection Equation ◽

Mato Grosso ◽

Temporal Modeling ◽

Asian Soybean Rust ◽

Spatio Temporal

Mato Grosso, Brazil, is the largest soy producer in the country. Asian Soy Rust is a disease that has already caused a lot of damage to Brazilian agribusiness. The plant matures prematurely, hindering the filling of the pod, drastically reducing productivity. It is caused by the Phakopsora pachyrhizi fungus. For a plant disease to establish itself, the presence of a pathogen, a susceptible plant, and favorable environmental conditions are necessary. This research developed a fuzzy system gathering these three variables as inputs, having as an output the vulnerability of the region to the disease. The presence of the pathogen was measured using a diffusion-advection equation appropriate to the problem. Some coefficients were based on the literature, others were measured by a fuzzy system and others were obtained by real data. From the mapping of producing properties, the locations where there are susceptible plants were established. And the favorable environmental conditions were also obtained from a fuzzy system, whose inputs were temperature and leaf wetness. Data provided by IBGE, INMET, and Antirust Consortium were used to fuel the model, and all treatments, tests, and simulations were carried out within the Matlab® environment. Although Asian Soybean Rust was the chosen disease here, the model was general in nature, so could be reproduced for any disease of plants with the same profile.

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