Abstract
In India, since 2001, false smut disease of rice has been observed in severe form among major rice growing states. This disease is difficult to tackle, because pathogens infect the plant during flowering stage, and the symptoms are only visible after emergence of the panicle. Thus, disease forecasting is necessary to predict the chance of disease in a certain set of conditions. We analysed 3 years of aerobiological data including pathogenic spore (Ustilaginoidea virens) concentration over the rice canopy in West Bengal, India. The crop growth stages in both rabi (winter or dry) and kharif (rainy) seasons during which rapid development of false smut disease takes place were also recorded. Multiple regression analysis of per cent disease index values was done using age of the plant, pathogen concentration and meteorological factors. In dry season, the false smut disease severity depends on age of the plant as well as pathogenic spore concentration, while in rainy season, the severity depends upon spore concentration, RH and minT. From all the analysed data, it can be predicted that spore concentration is the common factor for false smut disease incidence and severity in rice. If pathogen concentration is increased by one unit, there will be 0.981 unit increased in the expected value of disease severity. With odds ratio value, it can be assumed that with a change in spore concentration by 1 unit, the odds of “Severe” versus “High” or “Moderate” or “Low” or “Absent” combined will be 1.1031 times greater, when other variables held constant. The regression model made from the present study would be beneficial to the farmers for early prediction of false smut disease of rice by estimating the spore concentration over rice canopy in West Bengal, India.
References
Anonymous. (2002). Standard evaluation system for rice. Manila: International Rice Research Institute.
Bender, R., & Grouven, U. (1998). Using binary logistic regression models for ordinal data with non-proportional odds. Journal Clinical Epidemiology,51(10), 809–816.
Dodan, D. S., & Singh, S. R. (1996). False smut of rice: Present status. Agricultural Review,17, 227–240.
Narinder, S., & Singh, M. S. (1989). Effect of different levels of nitrogen and dates of transplanting on the incidence of false smut of paddy in Punjab. Indian Journal of Ecology,14(1), 164–167.
Nessa, B., Salam, M. U., Haque, A. H. M. M., Biswas, J. K., et al. (2015). FLYER: A simple yet robust model for estimating yield loss from rice false smut disease (Ustilaginoidea virens). American Journal of Agricultural and Biological Sciences,10(1), 41–54.
TeBeest, D. O., Jecmen, A., & Ditmore, M. (2010). Infection of rice by the false smut fungus, Ustilaginoidea virens. In R. J. Norman & J. F. Meullenet (Eds.), B. R. Wells rice research studies (pp. 70–81). Fayetteville: University of Arkansas Agricultural Experiment Station Research Series.
The British Aerobiology Federation. (1995). Airborne pollen and spores: A guide to trapping and counting. Irving: Kimberley Clark Ltd.
Thurston, H. D. (1990). Plant disease management practices of traditional farmers. Plant Disease,74(2), 96–102.
Wheeler, B. E. J. (1969). An introduction of plant diseases. London: Wiley.
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Saha, M., Chakraborty, A. & Bhattacharya, K. Aerobiology, epidemiology and disease forecasting of false smut disease of rice in West Bengal, India. Aerobiologia 36, 299–304 (2020). https://doi.org/10.1007/s10453-020-09631-1
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DOI: https://doi.org/10.1007/s10453-020-09631-1