International Journal of Plant Protection

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

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
     

   Subscribe/Renew Journal


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.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Anitha, K.R. (2007). Seasonal incidence and management of sucking pests of okra. M.Sc.(Ag.) Thesis, University of Agricultural Sciences, Dharwad, KARNATAKA (INDIA).

  • Anitha, K.R. and Nandihalli, B.S. (2008). Seasonal Incidence of sucking pests in okra ecosystem. Karnataka J. Agric. Sci., 21(1): 137-138.

  • Anonymous (2013). Indian Horticultural Database 2013-14. National Horticultural Board, Ministry of Agriculture, Government of India.

  • Arif, M.J., Gogi, M.D., Mirza, M., Zia, K. and Hafeez, F. (2006). Influence of plant spacing and abiotic factors on population dynamics of sucking insect pests of cotton. Pakistan J. Biol. Sci., 9 (7): 1364-1369.

  • Gulati, R. (2004). Incidence of Tetranychus cinnabarinus (Boisd.) infestation in different varieties of Abelmoschus esculentus L. Ann. Pl. Protec. Sci., 12(1): 45-47.

  • Jambhale, N.D. and Nerkar,Y.S. (2005). Okra: In : Hand book of vegetable science and technology-production. Composition, Storage and Processing. Edt. Salunke, D.K. and Kadam, S.S. Published by Marcel Dekker, Inc. 598-607pp.NEW YORK, U.S.A.

  • Kumaran, N., Douressamy, S. and Ramaraju, K. (2007). Bioefficacy of botanicals to two spotted spider mite, Tetranychus urticae (Acari: Tetranychidae) infesting okra (Abelmoschus esculentus L.). Pestol., 31(9): 43-49.

  • Panse, V.G. and Sukhatme, P.V. (1967). Statistical methods for agricultural workers, ICAR, NEW DELHI (INDIA).

  • Rachana, R.R., Manjunatha M., Gayathridevi, S. and Naik, M.I. (2009). Seasonal incidence of red spider mite Tetranychus neocaledonicus Andre and its Natural Enemies. Karnataka J. Agric. Sci., 21(1): 213-214.

  • Rai, A.B., Sejalia, A.S., Patel, C.V. and Shah, A.H. (1991). Studies on okra mite Tetranychus macfarlaeni (Acari: Tetranychidae) and its chemical control. Modern Acarol. Acad., 1: 571-580.

  • Varadaraju, M.V. (2010). Seasonal incidence and management of okra mites, Tetranychus spp.M.Sc. (Ag.) Thesis, University of Agricultural Sciences, Dharwad, KARNATAKA (INDIA).


Abstract Views: 229

PDF Views: 1




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

Abstract Views: 229  |  PDF Views: 1

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