Epidemiology of blast (EPIBLA): a simulation model and forecasting system for tropical rice in India
1991
Manibhushanrao, K. | Krishnan, P. (Mandras Univ., Mandras (India). Centre for Advance Study in Botany)
EPIBLA (EPIdemiology of BLAst) is a computerized forecasting system developed to simulate the incidence and progress of rice leaf blast in the field. A stepwise regression analysis was used to evaluate the model for best fit in predicting atmospheric spores and disease progress on rice cultivars IR50 and IR20. Three equations were used to estimate the number of blast spores and to predict disease incidence. Estimated values were close to observed values. The partial regression coefficients suggest that temperature and relative humidity influence spore dispersal significantly; number of spores, relative humidity (73-100%), temperature (14-25 deg C), and amount of dew significantly after disease incidence. The coefficients of determination were highly significant, EPIBLA is designed to forecast 7-d leaf blast progress. Constraints of EPIBLA are also discussed.
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