Author:
Tabonglek Saharat,Khan Amir,Humphries Usa Wannasingha
Abstract
<abstract><p>This paper aims to extend the spore dispersal model to the Healthy-Latent-Infectious-Removed (HLIR) epidemic model for assessing the severity of rice blast disease. The model was solved by the Finite Difference Method (FDM). The results of the model were compared to data from the Prachinburi Rice Research Center (PRRC) on the severity of rice blast disease. Because of a small error, the comparison results showed good agreement between the PRRC data and the simulation by looking at the value of Willmott's index of agreement ($ d $). The first bed $ d $ was 0.7166, while the second bed $ d $ was 0.6421, indicating the model's performance. Furthermore, the optimal parameter, the fraction of spores deposited on the crop, was determined to be 0.173 and 0.016 for beds 1 and 2, respectively. The model can simulate and analyze rice blast outbreaks for educational purposes in future preparedness planning.</p></abstract>
Publisher
American Institute of Mathematical Sciences (AIMS)
Reference18 articles.
1. D. O. TeBeest, C. Guerber, M. Ditmore, 2007, Rice blast, The Plant Health Instructor. https://doi.org/10.1094/PHI-I-2007-0313-07. Reviewed 2012.
2. N. L. Suriani, D. N. Suprapta, N. Nazir, N. M. S. Parwanayoni, A. A. K. Darmadi, D. A. Dewi, et al., A mixture of piper leaves extracts and rhizobacteria for sustainable plant growth promotion and bio-control of blast pathogen of organic bali rice, Sustainability, 12 (2020), 8490. https://doi.org/10.3390/su12208490
3. M. E. Jarroudi, H. Karjoun, L. Kouadio, M. E. Jarroudi, Mathematical modelling of non-local spore dispersion of wind-borne pathogens causing fungal diseases, Appl. Math. Comput., 376 (2020), 1–11. https://doi.org/10.1016/j.amc.2020.125107
4. B. Hau, C. J. de Vallavieille-Pope, Wind-dispersed diseases, In: The epidemiology of plant diseases, Netherlands: Springer, 2006.
5. S. Kirtphaiboon, U. Humphries, A. Khan, A. Yusuf, Model of rice blast disease under tropical climate conditions, Chaos Soliton. Fract., 143 (2021), 1–8. https://doi.org/10.1016/j.chaos.2020.110530