Mathematical Modelling for Rice Blast Re-Infection

Domaine:

agriculture

Type de record:

paper

Créateur:

BonMarOchAli

Éditeur:

Sci

Hôte:

Rice is the thirdly most valued cereal crops in Kenya after maize and wheat. The demand for rice in Kenya has increased greatly over the last few years while production has still remained low. This is because rice production is affected by serious constraints especially rice diseases of which the most threatening is rice blast. Rice blast infection and re-infection can occur in different stages of rice growth and therefore need to be controlled. This study aims to developed a mathematical model for rice blast re-infection. The model employs a system of nonlinear ordinary differential equations which is analysed in details for its stability properties. Basic reproduction number <i>R<sub>o</sub></i> for rice blast re-infection was found to be less than one. Numerical simulation of the model is done using Mathematica, and graphical profile of the main variables are depicted. We conclude that rice blast re-infection reduces rice yield and necessary remedy are needed.

Visit

doi.org

Similaires

Screening of rice germplasm for blast resistance in NigeriaIntegrated Strategies for Durable Rice Blast Resistance in Sub-Saharan AfricaRelationship between rice blast severity and the rice growth stage for accurate selection of rice breeding material for improved rice production in AfricaA Mathematical Framework for Ebola Virus Disease Preparedness in Kenya: Modeling Waning Immunity, Vaccination, and Re-infection DynamicsAgronomic management of rice blast datasets (®GARP database)Cropping System to Limit Blast Disease in Upland Rice

Screening of rice germplasm for blast resistance in Nigeria

Abstract. Gabriel MG, Alhasan U, Mary Y, Munsur Y, Olufunmilayo A. 2022. Screening of rice germplasm

Integrated Strategies for Durable Rice Blast Resistance in Sub-Saharan Africa

Rice is a key food security crop in Africa. The importance of rice has led to increasing country-spe

Relationship between rice blast severity and the rice growth stage for accurate selection of rice breeding material for improved rice production in Africa

A Mathematical Framework for Ebola Virus Disease Preparedness in Kenya: Modeling Waning Immunity, Vaccination, and Re-infection Dynamics

Recurrent infectious disease outbreaks continue to challenge public health systems despite advances

Agronomic management of rice blast datasets (®GARP database)

Data from GARP project in Madagascar highlands. 2 trials at different altitudes (middle and high). I

Cropping System to Limit Blast Disease in Upland Rice

International audience Cropping system is an essential aspect to take into account to