Vol. 9 (2) : March-April 2018 issue
Green Farming Vol. 9 (2) : 365-369 ; March-April, 2018
Diversity of insect pests and natural enemies in Bt and non-Bt cotton
S. ANUSHA1* and R. SWAMINATHAN2
Department of Entomology, Rajasthan College of Agriculture, Maharana Pratap University of Agriculture and Technology, Udaipur - 313 001 (Rajasthan)
Designation : 1Ph.D. Scholar *(anusha.ka.08.03@gmail.com), 2Retd. Dean & Professor
Subject : Entomology
Paper No. : P-7184
Total Pages : 5
Received : 21 February 2018
Revised accepted : 21 March 2018
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Citation :
S. ANUSHA and R. SWAMINATHAN. 2018. Diversity of insect pests and natural enemies in Bt and non-Bt cotton. Green Farming Vol. 9 (2) : 365-369 ; March-April, 2018
ABSTRACT
Investigation on diversity studies during kharif 2015 and 2016, revealed that the relative density of aphids (48.26 & 35.58 %: Bt cotton 2015 & 2016; 39.28 & 34.60 %: non-Bt cotton 2015 & 2016) was the maximum on account of their numerical abundance. The relative density values for red cotton bug and thrips were next to that of aphids; while, the mealybug population had the lowest relative density value. Except for the mealybug, the seasonal mean of pest population was comparatively more in Bt cotton than in non-Bt cotton. The Shannon-Weiner and Simpson's diversity indices of insect pests were relatively higher for non-Bt cotton (1.64 and 4.28 during kharif 2015; 1.67 and 4.47 during kharif 2016) than in Bt cotton. Among the natural enemies, the relative density values for coccinellids (54.99 & 59.36 %: Bt cotton 2015 & 2016; 59.64 & 62.11 %: non-Bt cotton 2015 & 2016) was the maximum, followed by that for mantids and spiders; whereas, the relative density of syrphid larvae was the minimum during both the seasons in Bt as well as non-Bt cotton. The Shannon-Weiner and Simpson's diversity indices for natural enemies were relatively higher in Bt cotton (1.15 and 2.64 during kharif 2015; 1.06 and 2.36 during kharif 2016) than in non-Bt cotton.
Key words :
Diversity of pests, Relative density, Shannon-Weiner, Simpson's diversity indices.