Volume 4, Issue 6, November 2016, Page: 56-70
Modelling of Infection Mildew of Taro (Phytophthora colocasiae)
Djouokep Léonel Gautier, Faculty of Science, Laboratory of Plant Biology and Physiology, University of Douala (Cameroon), Douala, Cameroon
Asseng Charles Carnot, Faculty of Science, Laboratory of Plant Biology and Physiology, University of Douala (Cameroon), Douala, Cameroon
Bowong Tsakou Samuel, Faculty of Science, Laboratory of Plant Biology and Physiology, University of Douala (Cameroon), Douala, Cameroon
Ambang Zachée, Faculty of Science, Department of Plant Biology, Laboratory of Phytopathology and Microbiology, University of Yaounde, Yaoundé, Cameroon
Monkam Tchamaha Fabrice, Faculty of Science, Laboratory of Plant Biology and Physiology, University of Douala (Cameroon), Douala, Cameroon
Received: Sep. 21, 2016;       Accepted: Oct. 7, 2016;       Published: Oct. 31, 2016
DOI: 10.11648/j.plant.20160406.13      View  3520      Downloads  79
Abstract
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 favourable 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. 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.
Keywords
Phytophthora colocasiae , Taro, Modelling, Simulation
To cite this article
Djouokep Léonel Gautier, Asseng Charles Carnot, Bowong Tsakou Samuel, Ambang Zachée, Monkam Tchamaha Fabrice, Modelling of Infection Mildew of Taro (Phytophthora colocasiae), Plant. Vol. 4, No. 6, 2016, pp. 56-70. doi: 10.11648/j.plant.20160406.13
Copyright
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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