Date: 07 Nov 2012
Effect of Different Growing Environments on Population Dynamics of Sucking Pests in Relation to Various Spectral Indices in Cotton
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Present study was designed to determine the effect of various growing environments on sucking pest population dynamics in cotton and to work out their relation with spectral indices. Crop spectral reflectance in four IRS bands was measured with ground truth radiometer during 1000–1200 h in all the treatment combinations. Incidence of sucking pest in cotton was found out to be highly influenced by growing environments. The leafhopper and whitefly population was highest in 15 May sown cotton crop and was lowest in 15 April sown crop. Cultivar HS-6 was highly affected by both the sucking pest than the other cultivar H-1226. The spectral indices (SR, NDVI and TVI) were highest in 15 April sown crop at all the phenophases and were lowest in 15 May sown crop. The cultivar H-1226 showed higher values of spectral indices as compared to HS-6. The relationship of pests’ population with various spectral indices was established. Multiple regression models based on spectral indices can be used for prediction of sucking pest population more than 69 and 74 % accuracy in leafhopper and whitefly, respectively in cotton crop.
Bose, S.K. (2008). Detection and forecasting of Downy mildew incidence in Pearlmillet using agromet-remotesensing approach. M.Sc. Thesis submitted to CCS HAU Hisar. p. 110.
Buttler, J. R., & Henneberry, T. J. (1994). Bemisia and Trialeurodes (Hemiptera: Aleyrodidae), insect Pests of cotton (pp. 325–335). UK: CAB International.
CHEN Bing, LI Shao-Kun, Wang Ke-Ru, Su Yi, Chen Jiang-Lu, Jin Xiu-Liang, LV Yin-Liang & Diao Wan-Ying (2011). Estimating severity level of cotton disease based on spectral indices of TM image. Journal of Infrared and Millimetre Waves 30(5), 451–457.
Dhawan, A. K., Shera, P. S., Jindal, V., & Aggarwal, N. (2008). Changing scenario of cotton insect pests and their management strategies. Cotton in Punjab, Dept. Plant Breeding, Genetics and Biotechnology (p. 109). Ludhiana: Punjab Agril. Univ.
Dubey, R. C., Chowdhary, A., & Kale, J. T. (1995). Estimation of cotton yield based weather parameters in Maharashtra. Mausam, 46(3), 275–278.
Gosalwad, S. S., Kamble, S. K., Wadnerkar, D. W., & Hasan, B. A. (2009). Population dynamics of major insect pests of cotton and their natural enemies. Journal of Cotton Research and Development, 23(1), 117–125.
Mayee, C. D., Gautam, H. C., & Barik, A. (2004). Cotton scenario in India vis-a-vis world and future need. Recent Advances in Cotton Research and Development, Haryana Agricultural University and Cotton Research and Development Association (pp. 245–253). Hisar: CCSHAU.
Mohapatra, L. N. (2008). Population dynamics of sucking pests in hirsutum cotton and influence of weather parameters on its incidence in western Orissa. Journal of Cotton Research and Development, 22(2), 192–194.
Pandi, R. (1997). Ecology and Management of Leafhopper, Amrasca devastans (Distant) in Cotton. M. Sc. (Ag.) Thesis. Tamil Nadu Agrl. Univ., Killikulam.
Raja, B., Singh, T. V. K., Lakshmai, K. V., & Sreenivas, C. (2007). Relative incidence of pest complex in Bt and non - Bt cotton cultivars. Journal of Cotton Research and Development, 21(2), 239–241.
Ramesh, J.V. & Bhavanarayana, M. (1992). Spectral response of wheat crop infected with leaf rust. In Proceedings National Symposium on Remote Sensing for Sustainable Development, pp. 371–373.
Rouse, J. W., Haas, R. H., Schell, J. A., & Deering, D. W. (1973). Monitoring vegetation systems in the Great Plains with ERTS. In Proceedings of Third ERTS Symposium, Greenbelt, MD,; NASA SP-351-1, pp. 309–317.
Rouse, J. W., Haas, R. H., Deering, D. W., & Sehell, J. A. (1974). Monitoring the vernal advancement and retrogradation (Green wave effect) of natural vegetation. Final Rep. RSC 1978–4, Remote Sensing Center. College Station: Texas A&M Univ.
Toulios, L. G., & Silleos, N. (1996). Early wheat biomass assessment based on spectral and meteorological parameters. Proceedings of the International Symposium on Applied Agrometeorology and Agroclimatology, Volos, Greece, 24–26 April: 123–130.
- Effect of Different Growing Environments on Population Dynamics of Sucking Pests in Relation to Various Spectral Indices in Cotton
Journal of the Indian Society of Remote Sensing
Volume 41, Issue 2 , pp 309-317
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- Growing environment
- Spectral indices