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Formulation and Simulation of an Optimization of the Taro Blight Prophylaxis Model (Phytophthora Colocasiae)
Insiders models in this article are used to compare the impact of different resistance components on the development of mildew taro, and thereby optimize the prophylaxis and selection of resistant varieties.
By Asseng Charles Carnot
Feb. 7, 2017
From Plant

Insiders models in this article are used to compare the impact of different resistance components on the development of mildew taro, and thereby optimize the prophylaxis and selection of resistant varieties.

Mildew taro caused by Phytophthora colocasiae affection is the most devastating of taro cultivation in Cameroon since 2010. It has been studied in leading the influence that can have a parameter considered favorable in the kinetics of the disease, and secondly, the interaction between plots through zoospores that can move from one field to another while estimating their dispersal throughout the plant.

In order to predict the attacks of P. colocasiae, we proposed a temporal model that will allow for a clarification on the level of infectious lesions may appear on taro leaves before the development of tubers depending estimated parameters. The efficiency of infection of the zoospore and sporangium, defined as the probability of penetration of a zoospore or sporangium lying on a healthy leaf. Knowing of course that the success of infection depends on the number of sporangia produced by infectious lesion also called infectivity of the pathogen, the latency period, the number of gendered spores or oospores produced by infectious lesion.

Fig. : Structure of model.

These models have allowed us to demonstrate that the duration of pathogen latency period, the number of sporangia produced on the surface of a lesion as well as the severity of the infection taken individually, are parameters to be taken into account in the development of a variety resistant to late blight taro. The dynamics of the fungus over time is represented by a matrix. The latter was used to establish a detailed estimate of the number of new infections caused by a sporangium placed in a landscape of healthy leaves. This number is known as the net rate of breeding base name (R0). The incidence and severity of disease are significantly reduced when the rate is less than or equal to one. So our approach can be used to guide research programs or evaluate the effectiveness of control strategies to design throughout the plant.

Author:Dr. Asseng Charles Carnot, Laboratory of Plant Biology and Physiology,
University of Douala, Cameroon.

Paper Title: MODELLING OF INFECTION MILDEW OF TARO (Phytophthora colocasiae)
has been accepted and will be published in Plant .

http://article.sciencepublishinggroup.com/html/10.11648.j.plant.20160406.13.html

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