News

Ranjbar Aghdam, H., Ghasemi, M., Karimpour, Y. (2020). Estimation of the low temperature threshold and thermal requirement of the established codling moth populations in West Azerbaijan, Tehran and Isfahan provinces. , 51(2), 265-274. doi: 10.22059/ijpps.2020.290195.1006913
Hossein Ranjbar Aghdam; Meysam Ghasemi; Younes Karimpour. "Estimation of the low temperature threshold and thermal requirement of the established codling moth populations in West Azerbaijan, Tehran and Isfahan provinces". , 51, 2, 2020, 265-274. doi: 10.22059/ijpps.2020.290195.1006913
Ranjbar Aghdam, H., Ghasemi, M., Karimpour, Y. (2020). 'Estimation of the low temperature threshold and thermal requirement of the established codling moth populations in West Azerbaijan, Tehran and Isfahan provinces', , 51(2), pp. 265-274. doi: 10.22059/ijpps.2020.290195.1006913
Ranjbar Aghdam, H., Ghasemi, M., Karimpour, Y. Estimation of the low temperature threshold and thermal requirement of the established codling moth populations in West Azerbaijan, Tehran and Isfahan provinces. , 2020; 51(2): 265-274. doi: 10.22059/ijpps.2020.290195.1006913

Estimation of the low temperature threshold and thermal requirement of the established codling moth populations in West Azerbaijan, Tehran and Isfahan provinces

دانش گیاهپزشکی ایران
Volume 51, Issue 2, January 2021, Pages 265-274    PDF (292.38 K)
Document Type: Research Paper
DOI: 10.22059/ijpps.2020.290195.1006913
Authors
Hossein Ranjbar Aghdam* 1; Meysam Ghasemi2; Younes Karimpour3
1َAssociate Professor, Iranian Research Institute of Plant Protection, AREEO, Tehran. Iran
2Department of Plant Protection, Urmia University, Urmia, Iran.
3Associate Professor, Department of Plant Protection, Urmia University, Urmia, Iran.
Abstract
The codling moth, Cydia pomonella (Linnaeus), is the most important pest in apple orchards. In order to successfully control of the pest, using phenological forecasting models is necessary. Phenological forecasting models are basically provided using temperature-dependent phenology of the pests. Estimation of the most important eco-physiological indices of pests is essential for the preparation and use of a high-performance, accurate forecasting model. Therefore, current study was conducted to determine temperature-dependent development trend and to estimate the most important thermal indices of three established populations of the codling moth in Tehran, West Azerbaijan, and Esfahan provinces. Results showed differences among the values of the estimated thermal index in studied populations. Estimated values of the low temperature threshold were 8.32, 8.19, and 9.85°C for total immature stages of Tehran, West Azerbaijan, and Esfahan provinces, respectively. Additionally, estimated values of the thermal requirement were 622.74, 633.20, and 695.84 Degree-Days for the total immature stages of the mentioned populations, respectively. The results of this study showed differences in thermal adaptations of different populations of codling moth located in different regions of Iran. This information is necessary to develop a precise forecasting model based on the heat requirement (GDD or GDH) of key pests in each geographical locations.
Keywords
codling moth; forecasting; linear model; thermal indices; population
References
  1. Al Bitar, L., Voigt, D., Zebitz, C. P. W. & Gorb, S. N. (2010). Attachment ability of the codling moth Cydia pomonella L. torough substrates. Journal of Insect Physiology, doi: 10. 1016.
  2. Blomefield, T. L. & Giliomee, J. H. (2009). Development rates of the embryonic and immature stages of the codling moth, Cydia pomonella (Lepidoptera: Tortricidae), at constant and fluctuation temperatures. African Entomology, 17: 183-191.
  3. Blomefield, T. L. & Giliomee, J. H. (2014). Validation of the phenology model for the codling moth, Cydia pomonella (Lepidoptera: Tortricidae), in South Africa pome fruit orchards, African Entomology, 22(1): 30-48.
  4. Campbell, A., Frazer, B. D., Gilbert, N., Gutierrez, A. P. & Mackauer, M. (1974). Temperature requirements of some aphids and their parasites. Journal of Applied Ecology, 11: 431-38.
  5. Cranham, J. E. (1980). Timing the first spray against codling moth: The relation between trap catches and temperatures, and its partical application. In: Proceeding of IOBC/WPRS, Wye College, Ashford, UK.
  6. Damos, P. T., Kouloussis, N.A. & Koveos, D. S. (2018). A degree-day phonological model for Cydia pomonella and its validation in a Mediterranean climate, Bulletin of Insectology, 71 (1): 131-142.
  7. Damos, P. and Savopoulou-Soultani, M. (2012). Temperature-driven models for insect development and vital thermal requirements, Psyche, Article ID 123405, 13 pages, doi: 10, 1155/2012/123405.
  8. DeClerq, P. & Degheele, D. (1992). Development and survival of Podisus maculiventris (Say) and Podisus sagitta (Fab.) (Het.: Pentatomidae) at various constant temperatures. Canadian Entomologists, 124: 125-133.
  9. Falcon, L. A. & Pickel, C. (1976). Manual for 1976 field validation of bug off codling moth forecasting program. University of California, Berkeley.
10. Falcon, L. A., Pickel, C. & white, J. B. (1976). Computerizing codling moth. Fruit Grower 96: 8-14.

11. Geier, P. W. a&nd D. T. Briese. (1978). The demographic performance of a laboratory strain of codling moth, Cydia pomonella (Lepidoptera: Tortricidae). Journal of Applied Ecology, 15: 679-696.

12. Gilbert, N. & Raworth, D. A. (1996). Insects and temperature, a general theory. Canadianadian Entomologists, 128: 1-13.

13. Glenn, P. A. (1922). Relation of temperature to development of the codling-moth. Journal of Economic Entomology, 15:193–198.

14. Herms, D.A. (2004). Using Degree-Days and plant phenology to predict pest activity. In. V. Krischik and J. Davidson (Eds.) IPM (Integrated Pest Management) of Midwest Landscapes. (pp. 49-59). University of Minnesota Ag. Experiment Station.

15. Howell, J. F. & L. G. Neven. (2000). Physiological development time and zero development temperature of the codling moth (Lepidoptera: Tortricidae). Environmental Entomology, 29: 766-772.

16. Huffaker, C., Berryman, A. & Turchin, P. (1999). Dynamics and regulation of insect populations, In: C.A. Huffaker (Ed.) Ecological Entomology. (pp. 269-305). Jhon Wiely & Sons Inc...

17. Juszczak, R., Kuchar, L., Lesny, J. & Olejnik, j. (2012). Climate change impact on development rates of the codling moth (Cydia pomonella L.) in the Wielkopolska region, Poland. International Journal of Biometeorology, 3: 45-59.

18. Knight, A. L. (2007). Adjusting the phenology model of codling moth (Lepidoptera: Tortricidae) in Washington state apple orchards, Environmental Entomology, 36 (6): 1485-1493.

19. Lamb, R. J. (1992). Developmental rate of Acyrthosiphon pisum (Homoptera: Aphididae) at low temperatures: implications for estimating rate parameters for insects. Environmental Entomology, 21: 10- 19.

20. Mills, N. (2005). Selecting effective parasitoids for biological control introductions: Codling moth as a case study, Biological Control, 34: 274-282.

21. Pashley, D. P. & Bush, G. L. (1979). The use of allozymes in studying insect movement with special references to the codling moth, Laspeyresia pomonella (L.) (Olethreutidae), In: R. L. Rabb and G. C. Kennedy (Eds.), Movement of highly mobil insects: concepts and methodology in research. (pp. 333-341) North Carolina State University, Raleigh.

22. Pickel, C. P.; R. S. Bethell. & W. W. Coates. (1986). Codling moth management using degree days. Publication 4, University of California Statewide IPM Project, Berkeley, California.

23. Ranjbar Aghdam, H (2009). Using temperature-dependent phenology in providing forecasting model of codling moth (Lepidoptera: Tortricidae). Ph. D. dissertation, Tarbiat Modares University.

24. Ranjbar Aghdam, H., Fathipour, Y. & Kontodimas, D. C. (2011). Evaluation of non-linear model to describe development and fertility of codling moth at constant temperatures, Entomologia Hellenica, 20: 3-16.

25. Ranjbar Aghdam, H., Fathipour, Y., Radjabi, Gh. & Rezapanah, M. (2009). Temperature-dependent development and temperature thresholds of codling moth (Lepidoptera: Tortricidae) in Iran. Environmental Entomology, 38(3): 885-895.

26. Riedl, H. (1983). Analysis of codling moth phenology in relation to latitude, climate and food availability. In: V. K. Brown and I. Hodek, (Eds.) Diapause and life syclecycle strategies in insects. (pp. 223-252) Dr. W. Junk Publication, Boston.

27. Riedl, H. & Croft, B. A. (1978) The effects of photoperiodic and effective temperatures on the seasonal phenology of the codling moth (Lepidoptera: Tortricidae). Canadian Entomologists, 110: 455–470.

28. Riedl, H., Blomefield, T. L. & Giliomee, J. H. (1998). A century of codling moth control in South Africa: II. Current and future status of codling moth management. Journal of the Southern African Society for Horticultural Sciences. 8: 32-54.

29. Rock, G. C. & Shaffer, P. L. (1983). Development rates of codling moth (Lepidoptera: Olethreutidae) reared on apple at four constant temperatures. Environmental Entomology, 12: 831-834.

30. Roy, M., Brodeur, J. & Cloutier, C. (2002). Relationship between temperature and development rate of Stethorus punctillum (Coleoptera: Coccinellidae) and its prey Tetranychus mcdanieli (Acarina: Tetranychidae). Environmental Entomology, 31: 177–187.

31. Roy, M., Brodeur, J. & Cloutier, C. (2003). Effect of temperature on intrinsic rate of natural increase (rm) of a coccinellid and its spider mite prey. Biological Control, 48: 57–72.

32. Setyobudi, L. (1989). Seasonality of codling moth, Cydia pomonella (Lepidoptera: Olethreutidae) in the Willamette valley of Oregon: role of photoperiod and temperature. Ph.D. dissertation, Oregon State University.

33. Tauber, M. J., Tauber, C. A. & Masaki, S. (1986) Seasonal adaptations of insects. Oxford UniverstyUniversity Press, New York.

34. Taylor, F. (1981) Ecology and evolution of physiological time in insects. American Naturalis, 117: 1-23.

  1. Wagner, T. L., Wu, H. I., Sharpe, P. J. H., Schoolfield, R. M. & Coulson, R. N. (1984). Modeling insect development rates: a literature review and application of a biophysical model. Annals of the Entomological Society of America, 77: 208-225.
Statistics
Article View: 534
PDF Download: 348


Journal Management System. Powered by Sinaweb