International Journal of Plant Protection

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Seasonal Incidence, Correlation and Regression among Weather Parameters against Mites on Summer Okra


Affiliations
1 Department of Agricultural Entomology, Ratnai Agriculture College, Akluj (M.S.), India
2 Department of Horticulture, Ratnai Agriculture College, Akluj (M.S.), India
3 Department of Agricultural Entomology, College of Agriculture, Paniv (M.S.), India
     

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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 6.25cm2 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 (R2).

Keywords

Linear, Multiple, Regression, Constant, Significant.
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  • Seasonal Incidence, Correlation and Regression among Weather Parameters against Mites on Summer Okra

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Authors

Y. T. Jadhav
Department of Agricultural Entomology, Ratnai Agriculture College, Akluj (M.S.), India
S. R. Mane
Department of Horticulture, Ratnai Agriculture College, Akluj (M.S.), India
D. S. Shinde
Department of Agricultural Entomology, College of Agriculture, Paniv (M.S.), India

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 6.25cm2 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 (R2).

Keywords


Linear, Multiple, Regression, Constant, Significant.

References