There is a sizeable loss of food grains and other cash crops in different regions of the country due to the incidence of pests and diseases. The possibility of reducing such crop due to pests and diseases infestation, based on weather based forewarning system, was explored. The feasibility of meteorological forewarning of stemborer of sugarcane; aphid, jassid and pink bollworm of cotton; gall midge, stemborer, hispa and blast of rice; tikka disease of groundnut; rust of fig; fruit canker of guava andearly blight of tomato has been made using graphical super-imposition, synoptic and statistical techniques. Graphical superimposition technique was used when data were limited otherwise stepwise multiple regression technique was used for developing forewarning models. The maximum and minimum temperature, morning and afternoon relative humidity and bright sunshine hours have profound effect on the development of stemborer of sugarcane at their successive generations. Decrease in morning relative humidity below 80% was found lo increase population of jassid and aphid of cotton at Parbhani and Akola. In addition to this decrease in minimum temperature and sunshine hours, more rainfall increased jassid population of cotton at Parbhani whereas increase inmaximum temperature, trace rainfall and more clouding aggravated aphid population of cotton at Akola. Another study revealed that minimum temperature > 20° C, morning relative humidity > 60%, sunshine hours <6 hours and rainfall > 0.5mm during 42nd and46th standard week favoured the outbreak of pink bollworm of cotton at Akola and Parbhani. Severe infestation was observed during the month of October and November when the cotton crop was either in flowering or boll formation stage.
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