2016•INTERNATIONAL JOURNAL OF PLANT PROTECTIONOpen access

Seasonal incidence, correlation and regression among weather parameters against mites on summer okra

Y. T. Jadhav, SHAILENDRA R. MANE, D. S. Shinde

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Abstract

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 co-efficient (b) and constant (a) alongwith coefficient of determination (R 2 ).

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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 co-efficient (b) and constant (a) alongwith coefficient of determination (R 2 ).

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Available abstract

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 co-efficient (b) and constant (a) alongwith coefficient of determination (R 2 ).

Key concepts: Biology, Incidence (geometry), Correlation, Regression analysis, Sunshine duration, Agronomy, Toxicology, Statistics

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