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تخمین آستانه‌ی پایین دمای رشدونمو و نیاز گرمایی جمعیت‌های کرم سیب مستقر در استان‌های تهران، آذربایجان غربی و اصفهان

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار بخش تحقیقات حشره شناسی کشاورزی، موسسه تحقیقات گیاه پزشکی کشور، سازمان تحقیقات، آموزش و ترویج کشاورزی، تهران، ایران.

2 گروه گیاهپزشکی دانشکده کشاورزی، دانشگاه ارومیه، ارومیه، ایران

3 دانشیار گروه گیاهپزشکی دانشکده کشاورزی، دانشگاه ارومیه، ارومیه، ایران

چکیده

کرم سیب، Cydia pomonella (Linnaeus)، مهمترین آفت باغات سیب ایران است. بکارگیری روش‌های نوین پیش آگاهی به منظور کنترل موفقیت آمیز این آفت ضروری است. مدل‌های پیش‌آگاهی فنولوژیک، اساساً بر مبنای فنولوژی تابع دمای آفات تهیه می‌شوند. به منظور ارائه‌ و بکارگیری یک مدل پیش آگاهی با کارایی و دقت بالا، برآورد مهمترین شاخص‌های اکوفیزیولوژیک آفات ضروری است. بر این اساس، در پژوهش حاضر روند رشد و نمو تابع دمای جمعیت‌های کرم سیب مستقر در استان‌های تهران، آذربایجان غربی و اصفهان بررسی و مهمترین شاخص‌های دمایی رشد و نمو آنها با استفاده از مدل‌ خطی روز-درجه برآورد شد. نتایج بدست آمده، تفاوت بین مقادیر برآورد شده برای هر یک از شاخص‌های دمایی مورد بررسی در جمعیت‌های مورد مطالعه را نشان داد. آستانه‌ی پایین دمای رشد و نمو کل دوره‌ی نابالغ جمعیت‌های کرم سیب در استان‌های تهران، آذربایجان غربی و اصفهان به ترتیب 32/8، 19/8 و 85/9 درجه‌ی سلسیوس تخمین زده شد. همینطور نیاز گرمایی کل دوره‌ی رشد و نمو جمعیت‌های کرم سیب مورد بررسی به ترتیب 74/622، 20/633 و 84/695 روز-درجه‌ی سلسیوس بود. نتایج این پژوهش وجود تفاوت‌ در سازگاری‌های دمایی جمعیت‌های مختلف کرم سیب مستقر در مناطق مختلف کشور را نشان داد. دستیابی به این اطلاعات به منظور تهیه‌ی مدل پیش آگاهی دقیق بر مبنای نیاز گرمایی (روز-درجه یا ساعت-درجه) آفات کلیدی ضروری است.

کلیدواژه‌ها


عنوان مقاله [English]

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

نویسندگان [English]

  • Hossein Ranjbar Aghdam 1
  • Meysam Ghasemi 2
  • Younes Karimpour 3
1 َAssociate Professor, Iranian Research Institute of Plant Protection, AREEO, Tehran. Iran
2 Department of Plant Protection, Urmia University, Urmia, Iran.
3 Associate Professor, Department of Plant Protection, Urmia University, Urmia, Iran.
چکیده [English]

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.

کلیدواژه‌ها [English]

  • codling moth
  • forecasting
  • Linear model
  • thermal indices
  • population
  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.