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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(3): 2527-2537
DOI: https://doi.org/10.20546/ijcmas.2017.603.286


Influence of Meteorological Factors on Population Build-Up of Aphids and Natural Enemies on Summer Okra
Y.T. Jadhav1*, B.V. Bhede2 and D.S. Shinde3
 
1Department of Agricultural Entomology, Ratnai Agriculture College,Akluj -413101(M.S.), India
2Department of Agricultural Entomology, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani - 431 402 (M.S.), India
3Department of Agricultural Entomology, College of Agriculture, Paniv, India
*Corresponding author
Abstract:

The study on seasonal incidence of summer okra as influenced by weather parameters on aphid, lady bird beetle and syrphid fly showed its peak presence during 16th MW and maximum population of chyrsopa during 17th MW, predatory spider during 20th MW. The correlation studies indicated that aphid showed positively significant correlation with bright sunshine and negatively significant correlation with rainy days. While lady bird beetle, chrysopa and predatory spider showed positively significant correlation with maximum temperature, minimum temperature, evaporation and negatively significant correlation with morning RH and evening RH. Whereas syrphid fly revealed non- significant correlation. The equations of linear regression was set of aphid, lady bird beetle, chrysopa and predatory spider population by working out regression coefficient (b) and constant (a) but was not possible in syrphid fly population as the impact of all weather parameters were found non-significant. The multiple regression equation fitted were worked out and the coefficient of determination (R2) mostly showed higher indication, hence the predictions and forewarning of the aphid and natural enemies population by using weather parameters were reliable.


Keywords: Seasonal, Correlation, Regression, Weather.
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How to cite this article:

Jadhav, Y.T., B.V. Bhede and Shinde, D.S. 2017. Influence of Meteorological Factors on Population Build-Up of Aphids and Natural Enemies on Summer Okra.Int.J.Curr.Microbiol.App.Sci. 6(3): 2527-2537. doi: https://doi.org/10.20546/ijcmas.2017.603.286