Journal of Environmental Biology

Humid thermal ratio as a tool to assess mango thrips dynamics under subtropical climatic condition

S. Gundappa*, T. Adak and P.K. Shukla

ICAR- Central Institute for Subtropical Horticulture, Rehmankhera, Lucknow-226 101, India

*Corresponding Author E-mail: Gundappa@icar.gov.in

Publication Data

Paper received:

10 September 2015

Revised received:

13 February 2016

Accepted:

19 April 2016

Abstract

Weather factors play an important role in occurrence of thrips on mango. Keeping this in view, the present investigation was set out to assess the thrips population dynamics using humid thermal index, based on data sets from 22 fixed plot mango orchards in and around Lucknow. Results revealed that the highest thrips population of 3.36/panicle was recorded in Kakori (Fixed plot -I) orchard, which was followed by 2.4 and 2.06 at CISH III block and Kanar (Fixed II) respectively during the year 2013, whereas corresponding values were 4.05, 3.08 and 2.50 at CISH Block III, CISH Bolck II and Allupur respectively during 2014. The frequency distribution explained that the thrips population of <2 /panicle was widely distributed with highest frequency level. The humid thermal ratio ranged from 1.44 to 2.27 and 1.20 to 2.34 during 2013 and 2014 respectively across standard meteorological weeks. The peak thrips incidence was 6.18 /panicle during 2013 and 4.67/panicle during 2014, the corresponding values of humid thermal ratio were 1.47 and 2.05 respectively. The positive correlation was found between humid thermal ratio and thrips population dynamics during 2013 (r = 0.52**) and 2014 (r = 0.72**). Pooled data showed significant and positive correlation between humid thermal ratio and thrips population. Pooled analysis had explained up to 94 per cent of variation with exponential model (Thrips population = 0.007e2.778HTR, R2 = 0.94**) and suggested that this index might be used in understanding the mango thrips population dynamics under subtropical environmental condition.

 Key words

Humid thermal ratio, Mango thrips, Regression analysis, Seasonal abundance

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