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International Journal of Applied Agricultural & Horticultural Sciences
  • 28 April, 2024
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Language : English
DOI Prefix : 10.37322
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Vol. 2 (3) : May-June 2011 issue
Green Farming Vol. 2 (3) : 347-349 (May-June, 2011) (New Series)
Population dynamics of whitefly and aphid on soybean and correlation with weather parameters
M.M. VINAY KUMAR1*, K.L. RAGHVANI2, M.K. CHANDARAGI3 and M.A. WASEEM4
Department of Entomology, Junagadh Agricultural University, Junagadh - 362 001 (Gujarat)
Designation :  
1,3,4Ph. Scholar, 2Associate Professor *Correspondence
Subject : Entomology
Paper No. :
Total Pages : 3
Received :
Revised accepted :
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Citation :

M.M. VINAY KUMAR, K.L. RAGHVANI, M.K. CHANDARAGI and M.A. WASEEM. 2011. Population dynamics of whitefly and aphid on soybean and correlation with weather parameters. Green Farming Vol. 2 (3) : 347-349  (May-June, 2011) (New Series)

ABSTRACT
Studies on population dynamics of the major insect pests revealed that the whitefly, Bemisia tabaci (Gennadius) commenced from 30th standard weather week i.e. 3rd week of July and remained throughout the crop period. The whitefly population increased gradually and reached to the first peak i.e. 8.2 whiteflies per three leaves per plant during 34th standard weather week. All the weather parameters except minimum temperature (r= 0.5846) were correlated positively non-significant with the pest population. The infestation of aphid Aphis glycines (Matsumura) started from 30th standard weather week i.e. the third week of July with 6.5 aphids per three leaves per plant. Initially the population of aphid increased and reached the peak level i.e. 66.56 per three leaves per plant in the 36th standard weather week i.e. first week of September and thereafter, the population gradually decreased towards the crop maturity. Among the various weather parameters, minimum temperature (r=0.4980) exhibited significantly positive correlation with the aphid population. While, remaining weather parameters were non-significantly correlated with the aphid population.
Key words :
Aphis glycines, Bemisia tabaci, Glycine max, population dynamics, soybean.