scholarly journals Management of Plant Disease Epidemics with Irrigation Practices

2019 ◽  
Author(s):  
Adalberto C. Café-Filho ◽  
Carlos Alberto Lopes ◽  
Maurício Rossato
Keyword(s):  
Plant Disease ◽  
Disease Epidemics ◽  
Irrigation Practices

scholarly journals Optimal Control of Plant Disease Epidemics with Clean Seed Usage

2021 ◽  
Vol 83 (5) ◽  
Author(s):  
F. M. Hamelin ◽  
B. Bowen ◽  
P. Bernhard ◽  
V. A. Bokil
Keyword(s):  
Optimal Control ◽  
Plant Disease ◽  
Clean Seed ◽  
Disease Epidemics

Estimation of Rate Parameter and Its Relationship with Latent and Infectious Periods in Plant Disease Epidemics

Biometrics ◽  
1995 ◽  
Vol 51 (1) ◽  
pp. 284 ◽  
Author(s):  
P. W. A. Dayananda ◽  
L. Billard ◽  
S. Chakraborty
Keyword(s):  
Plant Disease ◽  
Rate Parameter ◽  
Disease Epidemics

scholarly journals Comparative Analysis of Flexible Two-Parameter Models of Plant Disease Epidemics

2007 ◽  
Vol 97 (10) ◽  
pp. 1231-1244 ◽  
Author(s):  
B. Hau ◽  
E. Kosman
Keyword(s):  
Differential Equations ◽  
Goodness Of Fit ◽  
Inflection Point ◽  
Plant Disease ◽  
Shape Parameter ◽  
Relative Rate ◽  
Data Sets ◽  
Temporal Position ◽  
Progress Curve ◽  
Disease Epidemics

Eleven previously published models of plant disease epidemics, given as differential equations with a rate and a shape parameter, are compared using general model characteristics as well as their usefulness in fitting observed data. Six out of the eleven models can be solved analytically resulting in epidemic growth functions, while the others can be solved only numerically. When all 11 differential equations were fitted to two data sets, all models showed a similar goodness of fit, although the shape parameter in some models could not be estimated very precisely. With respect to useful characteristics (exponential population growth at the beginning, ability to generate monomolecular disease progression, and flexibility of the inflection point), the models of Fleming, Kosman-Levy, Birch, Richards and Waggoner, and Rich are recommended. Formulas were established to calculate the point of inflection as well as the weighted absolute and relative rate, respectively, depending on the shape and rate parameter. These formulas allow transformation of the parameter values of one model into those of another model in many cases. If the two models are required to have the same temporal position of the disease progress curve, then the initial disease level at the start of the epidemic or the time when the inflection point is reached have to be transformed.

scholarly journals The Study of Plant Disease Epidemics

HortScience ◽  
2009 ◽  
Vol 44 (7) ◽  
pp. 2065b-2065 ◽  
Author(s):  
Christopher C. Mundt
Keyword(s):  
Plant Disease ◽  
Disease Epidemics

scholarly journals Developing Blister Rust Resistance in White Pines

2000 ◽  
Vol 10 (3) ◽  
pp. 546
Author(s):  
Bohun B. Kinloch
Keyword(s):  
Plant Disease ◽  
Cryphonectria Parasitica ◽  
Resistance Mechanisms ◽  
Dutch Elm Disease ◽  
White Pine Blister Rust ◽  
White Pine ◽  
Low Frequencies ◽  
Blister Rust ◽  
Disease Epidemics ◽  
Native White

After a century since introduction to North America from Europe, white pine blister rust, caused by Cronartium ribicola J.C. Fisch., is recognized as one of the catastrophic plant disease epidemics in history. It has not yet stabilized and continues to spread and intensify. Its nine native white pine hosts comprise major timber producers, important watershed protectors, keystone ecological species, and the oldest trees on earth. All are highly susceptible and some have been damaged severely in parts of their native range, as well as where they have been planted as exotics. Resistance, the most promising approach to control, requires understanding of genetic interactions between hosts and pathogen, a quest that has been ongoing for half a century. Unlike other hosts of spectacular exotic diseases, such as chestnut blight [caused by Cryphonectria parasitica (Murrill) M.E. Barr] and dutch elm disease [caused by Ophiostoma ulmi (Buisman) Nannf.], white pines (Pinus L.) exhibit a surprising number of resistance mechanisms to blister rust, if at only low frequencies. There are three main kinds:

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