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Shelf-life of fruit was significantly enhanced with minimum ripening percentage, higher number of healthy fruit percentage in Kesar mango having sp. gr. < 1.00 (M 3 ) fallowed by sp. gr. 1.00-1.02 (M 2 ). Wax coating 6 per cent (R 3 ) was effective to increasing the shelf-life of fruit, ripening days, healthy fruit per cent and minimum ripening per cent. Soft-rot diseases incidence was does not found in hot water (R 1 ) and bavistin (R 2 ) treatments. A comparative study on the effect of low temperature storage of fresh harvested mango stored at 15 0 C (T 1 ) and 20 0 C (T 2 ) was made with respect to physiological changes. Not only delay the ripening percentage with ripening day, but also increase the healthy fruit per cent in lower temperature at 15 0 C of storage temperature with 85 per cent RH up to 42 nd days of shelf-life.HOW TO CITE THIS ARTICLE : Mane, Shailendra R., Jadhav, Y.T. and Barkade, D.P. (2016). Effect of maturity indices, post-harvest treatments and storage temperature on shelf-life of mango cv. KESAR.

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The studies on bio-efficacy of aphid population showed quite promising results and from the pooled data at first spray, the results revealed that all the treatments proved their superiority over untreated control showing imidacloprid 70WG as the most effective treatment followed by thiamethoxam 25 WG, fipronil 5SC and diafenthiuron 50WP. The second spray results showed that thiamethoxam 25WG, imidacloprid 70WG and fipronil 5SC proved to be the best treatments with maximum reduction of population and were found at par with each other.

On summer okra crop seasonal incidence as influenced by weather parameters on mites population reached its peak during last week of April with 8.40 mites in 6.25cm 2 leaf area/ 3 leaves. The correlation between mite population was positively significant against maximum temperature (r= 0.841**), minimum temperature (r= 0.805**), evaporation (r= 0.803**), wind velocity (r= 0.728**) and bright sunshine hours (r= 0.649*), while with morning R.H (r=-0.717**) and evening R.H (r=-0.643*) it was negatively significant. The equations of linear and multiple regression were set of mite population by working out regression coefficient (b) and constant (a) alongwith coefficient of determination (R 2