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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:5, May, 2018

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.2018.7(5): 2403-2410
DOI: https://doi.org/10.20546/ijcmas.2018.705.276


Estimation of Avoidable Yield Loss Due to Sucking Pest Complex in Blackgram
Malreddy Radhika* and Chinthakindi Narendra Reddy
S. B. Pally (Vill), Kothur (Man), Ranga Reddy (Dist), Telangana (State), Pin-509225, Post (Siddapur), India
*Corresponding author
Abstract:

An experiment was laid out with two treatments viz., unprotected and protected plot with plot size of 100 m2 each and further each treatment was divided into 13 quadrates with 30 X 10 cm spacing in Randomised Block Design (RBD). Results revealed that the avoidable reduction in plant height, number of branches per plant, pods per plant, number of seeds per pod due to insecticides application is 19.14, 19.78, 20.70 and 17.80 per cent respectively and a significantly higher yield was obtained in protected plots i.e. 1028 kg ha-1, while, comparatively low yield i.e. 759 kg ha-1 was recorded from unprotected plots. The yield increased in protected plots over unprotected was 269 kg ha-1i.e. 35.44 per cent. The avoidable yield loss was 26.16 per cent by spraying of insecticides i.e. monocrotophos 36% SC and fipronil 5% SC at ten days intervals against sucking pests viz., whiteflies, thrips, aphids and leafhoppers in blackgram.


Keywords: Estimation, Avoidable yield loss, Sucking pest complex, Blackgram

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How to cite this article:

Malreddy Radhika and Chinthakindi Narendra Reddy. 2018. Estimation of Avoidable Yield Loss Due to Sucking Pest Complex in Blackgram.Int.J.Curr.Microbiol.App.Sci. 7(5): 2403-2410. doi: https://doi.org/10.20546/ijcmas.2018.705.276
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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