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Comparison of Temperature-dependent Development Model of Aphis gossypii (Hemiptera: Aphididae) under Constant Temperature and Fluctuating Temperature

실내 항온과 온실 변온조건에서 목화진딧물의 온도 발육비교

  • Kim, Do-Ik (Jeollanamdo Agricultural Research & Extension Services) ;
  • Ko, Suk-Ju (Jeollanamdo Agricultural Research & Extension Services) ;
  • Choi, Duck-Soo (Jeollanamdo Agricultural Research & Extension Services) ;
  • Kang, Beom-Ryong (Jeollanamdo Agricultural Research & Extension Services) ;
  • Park, Chang-Gyu (Crop Protection Division, Department of Agricultural biology, National Academy of Agricultural Science) ;
  • Kim, Seon-Gon (Jeollanamdo Agricultural Research & Extension Services) ;
  • Park, Jong-Dae (Jeollanamdo Agricultural Research & Extension Services) ;
  • Kim, Sang-Soo (Division of Horticulture and Plant Medicine, Sunchon National University)
  • 김도익 (전남농업기술원 연구개발국) ;
  • 고숙주 (전남농업기술원 연구개발국) ;
  • 최덕수 (전남농업기술원 연구개발국) ;
  • 강범용 (전남농업기술원 연구개발국) ;
  • 박창규 (국립농업과학원 농업생물부) ;
  • 김선곤 (전남농업기술원 연구개발국) ;
  • 박종대 (전남농업기술원 연구개발국) ;
  • 김상수 (순천대학교 원예생물의학부)
  • Received : 2012.04.19
  • Accepted : 2012.11.13
  • Published : 2012.12.01

Abstract

The developmental time period of Aphis gossypii was studied in laboratory (six constant temperatures from 15 to $30^{\circ}C$ with 50~60% RH, and a photoperiod of 14L:10D) and in a cucumber plastic house. The mortality of A. gossypii in the laboratory was high in the 2nd (20.0%) and 3rd stage(13.3%) at low temperature but high in the 3rd (26.7%) and 4th stage (33.3%) at high temperatures. Mortality in the plastic house was high in the 1st and 2nd stage but there was no mortality in the 4th stage at low temperature. The total developmental period was longest at $15^{\circ}C$ (12.2 days) in the laboratory and shortest at $28.5^{\circ}C$ (4.09 days) in the plastic house. The lower threshold temperature at the total nymphal stage was $6.8^{\circ}C$ in laboratory. The thermal constant required to reach the total nymphal stage was 111.1DD. The relationship between the developmental rate and temperature fit the nonlinear model of Logan-6 which has the lowest value for the Akaike information criterion(AIC) and Bayesian information criterion(BIC). The distribution of completion of each development stage was well described by the 3-parameter Weibull function ($r^2=0.89{\sim}0.96$). This model accurately described the predicted and observed outcomes. Thus it is considered that the model can be used for predicting the optimal spray time for Aphis gossypii.

목화진딧물 (Aphis gossypii)의 온도에 따른 발육시험을 실내 15, 18, 21, 24, 27, $30^{\circ}C$의 6개 항온, 광주기 14L:10D, 상대습도 50~60% 조건과 오이 비닐하우스에서 3월 23일부터 8월 20일까지 6회 접종하여 수행하였다. 실내사망률은 저온에서는 2~3령충의 사망률이 높았고 온도가 증가할수록 3~4령충의 사망률이 높았으며 고온에서 전체 사망률이 높았다. 전체 약충의 발육기간은 실내에서 $15^{\circ}C$에서 12.2일로 가장 짧았으며 변온의 $28.5^{\circ}C$에서 4.09일로 가장 짧았다. 온도와 발육율과의 관계를 보기위해 선형 및 3개의 비선형 모형(Briere 1, Lactin 2, Logan 6)을 이용하여 분석한 결과, 선형모형을 이용하여 전체약충의 발육영점온도는 $6.8^{\circ}C$였으며 발육유효적산온도는 각각 111.1DD였다. 3가지 비선형 모형중 Logan-6 모형이 전약충, 후약충 전체약충 단계에서 AIC와 BIC 값이 가장 적어 온도와 발육율과의 관계를 잘 설명하였으며, 발육단계별 발육완료분포는 3-parameter Weibull 함수를 사용하였으며 전약충, 후약충, 전체약충에서 $r^2$값이 0.88~0.91로 높은 값을 보여 양호한 모형 적합성을 보였으며 정식시기별 성충 발생 예측치와 포장 조사치가 일치하여 방제적기 추정에 유용하게 사용할 수 있을 것이다.

Keywords

References

  1. Akey, D.H., Butler Jr. G.D., 1989. Developmental rates and fecundity of apterous Aphis gossypii on seedlings of Gossypium hirsutum. Southwestern Entomol. 14, 295-299.
  2. Ali Niazee, M.T., 1976. Thermal unit requirements for determining adult emergence of the western cherry fruit fly in the Willamatte Valley of oregon. Environ. Entomol. 5, 397-401. https://doi.org/10.1093/ee/5.3.397
  3. Briere, J.F., Pracros, P., 1998. Comparison of temperature-dependent growth models with the development of Lobesia botrana (Lepidoptera : Tortricidae). Environ. Entomol. 27, 94-101. https://doi.org/10.1093/ee/27.1.94
  4. Briere, J.F., Pracros, P., Le Roux, A.Y., Pierre, J.S., 1999. A novel rate model of temperature-dependent development for arthropods. Environ. Entomol. 28, 22-29. https://doi.org/10.1093/ee/28.1.22
  5. Burnham, K.P., Anderson, D.R., 2004. Multimodel inference : understanding AIC and BIC in model selection. Sociol. Methods Res. 33, 261-304. https://doi.org/10.1177/0049124104268644
  6. Butts RA., McEwen FL., 1981. Seasonal populations of the diamondback moth, Plutella xylostella (Lepidoptera: Plutellidae), in relation to day-degree accumulation. Canadian Entomol. 113, 127-131. https://doi.org/10.4039/Ent113127-2
  7. Campbell, A., Frazer, B.D., Gilbert, N., Gutierrez, A.P., Markauer, M., 1974. Temperature requirements of some aphids and their parasites. J. Appl. Ecol. 11, 431-438. https://doi.org/10.2307/2402197
  8. Capinera, J.L., 2000. www.Creatures.Ifas.ufl.edu/veg/aphid/melon aphid. htm.
  9. Choe, Y.S., Park, D.G., Han, H.K., Choe, K.R., 2006. Temperature -dependent development of Aphis gossypii Glover and Aphis egomae Shinji on leaves of green perilla and their seasonal abundance patterns in protected greenhouse in Geumsan, Korea. Kor. J. Appl. Entomol. 45, 260-274.
  10. Chon, T.S., Hyun, J.S., Park,C.S., 1975. A study on the population dynamics of overwintered small brown plat hopper, Laodelphax striatellus (Fallen). Kor. J. Entomol. 5, 21-23.
  11. Eckennode, C.K., Chapman, R.K., 1972. Seasonal adult cabbage maggot populations in the field in relation to thermal unit accumulations. Ann. Entomol. Soc. Am. 65, 151-156. https://doi.org/10.1093/aesa/65.1.151
  12. Han, M.W., Lee, J.H., Lee, M.H., 1993. Effects of temperature on development of oriental tobacco budworm, Helioverpa assulta Guenee. Kor. J. Appl. Entomol. 32, 236-244.
  13. Howe, R.W., 1967. Temperature effects on embryonic development in insects. Annu. Rev. Entomol. 10, 15-42
  14. Isely, D., 1946. The cotton aphid. Ark. Agric. Expt. Sta. Bull. No. 462.
  15. Kerns,D.L., Stewart, S.D., 2000. Sublethal effects of insecticides on the intrinsic rate of increase of cotton aphid. Entomologia Experimentalis et Applicata. 94, 41-49. https://doi.org/10.1046/j.1570-7458.2000.00602.x
  16. Kerstings, U., Satar, S., Uygun, N., 1999. Effect of temperature on development rate and fecundity of apterous Aphis gosspii Glover (Hom., Aphididae) reared on Gossypium hirsutum L. J. Appl. Ent. 123, 23-27. https://doi.org/10.1046/j.1439-0418.1999.00309.x
  17. Kim, D.S., Lee, J.H., 2003. Oviposition model of Carposina sasakii (Lepidoptera : Carposinidae). Ecol. model. 162, 145-153. https://doi.org/10.1016/S0304-3800(02)00402-7
  18. Kim, D.S., Lee, J.H. Yiem, M.S., 2001. Temperature-dependent development of Carposina sasakii (Lepidoptera : Carposinidae) and its emergence models. Environ. Entomol. 30, 298-305. https://doi.org/10.1603/0046-225X-30.2.298
  19. Kim, J.S., Kim, Y.H., Kim, T.H., Kim, J.H., Byeon, Y.W., Kim, K.H., 2004. Temperature-dependent development and its model of the melon aphid, Aphis gossypii Glover (Homoptera: Aphididae). Kor. J. Appl. Entomol. 43, 111-116.
  20. King, E.G., Phillips, J.R., 1989. The 42nd annual conference report on cotton insect research and control. In: Proc. Beltwide Cotton Production Research Conference, Memphis, Tennessee, USA. pp. 180-191.
  21. Komazaki, S., 1982, Effects of constant temperature on population growth of three aphid species, Toxoptera citricidus (Kirsaldy), Aphis citricola van der Goot and Aphis gossypii Glover (Homoptera: Aphididae) on citrus. Appl. Entomol. Zool. 17, 75-81.
  22. Lactin, D.J., Holliday, N.J., Johnson, D.I., Craigen, R., 1995. Improved rate model of temperature-dependent development by arthropods. Environ. Entomol. 24, 68-75. https://doi.org/10.1093/ee/24.1.68
  23. Leclant, F., Deguine, J.P., 1994. Aphids (Hemiptera: Aphididae). In: Matthew, G.A., Tunstal, J.P. (eds.), Insect pests of cotton. Wallingford UK vab international. pp. 285-323.
  24. Lee, Y.H., 2010. Simulation study on model selection based on AIC under unbalanced design in linear mixed effect models. Kor. J. A. Stat. 23, 1169-1178. https://doi.org/10.5351/KJAS.2010.23.6.1169
  25. Liu, Y.C., Kuo, M.H., Yang, S.C., 2000. The development, fecundity and life table of Aphis gossypii Glover on lily. Plant Prot. Bull. 42, 1-10.
  26. Logan, J.A., Wolkind, D.J., Hoyt, S.C., Tanigoshi, L.K., 1976. An analytical model for description of temperature dependent rate phenomena in arthropods. Environ. Entomol. 5, 1113-1140.
  27. Paik, W.H., 1972. Illustrated Flora and Fauna of Korea Vol. 13 (Insecta V). Ministry of Education. pp. 751.
  28. Park, C.G., Park, H.H., Uhm, K.B., Lee, J.H., 2010a. Temperaturedependent development model of Paromius exiguus (Distant) (Heteroptera: Lygaeidae). Kor. J. Appl. Entomol. 49, 305-312. https://doi.org/10.5656/KSAE.2010.49.4.305
  29. Park, C.G., Park, H.H., Kim, K.H., 2011. Temperature-dependent development model and forecasting of adult emergence of overwintered small brown planthopper, Laodelphax striatellus Fallen, population. Kor. J. Appl. Entomol. 50, 343-352. https://doi.org/10.5656/KSAE.2011.50.4.343
  30. Park, C.G., Kim, H.Y., Lee, J.H., 2010b. Parameter estimation for a temperature-dependent development model of Thrips palmi Karny (Thysanoptera: Thripidae). J. Asia Pac. Entomol. 13, 145-149. https://doi.org/10.1016/j.aspen.2010.01.005
  31. Raftery, A.E., 1995. Bayesian model selection in social research. Sociol. Methodol. 25, 111-163. https://doi.org/10.2307/271063
  32. Schoolfield, R.M., Sharpe, P.J.H., Mugnuson, C.E., 1981. Nonlinear regression of biological temperature-dependent rate models based on absolute reaction-rate theory. J. Theor. Biol. 66, 21-38.
  33. Scopes, N.E.A., Biggerstaff, S.B., 1977. The use of a temperature integrator predict the developmental period of the parasite Aphidius matricariae. J. Appl. Ecol. 14, 799-802 https://doi.org/10.2307/2402811
  34. Shi, P., Ge, F., 2010. A comparison of different thermal performance functions describing temperature-dependent development rates. J. Thermal Biol. 35, 225-231. https://doi.org/10.1016/j.jtherbio.2010.05.005
  35. Shim, J.Y., Park, J.S., Paik, W.H., 1979. Studies on the life history of cotton aphid, Aphid gossypii Glover (Homoptera). Kor. J. Pl. Prot. 18, 85-88.
  36. Slosser, J.E., Pinchak, W.E., Rummel, D.E., 1989. A review on known and potential factors affecting the population dynamics of the cotton aphid. Southwestern Entomol. 14, 302-313.
  37. Systat software inc. 2002. TableCurve 2D Automated curve fitting analysis: Ver. 5.01. Systat software. inc. San jose. CA.
  38. Wagner, T.L., Wu, H., Sharpe, P.J.H., Coulson, R.N., 1984a. Modeling distribution of insect development time: A literature review and application of Weibull function. Ann. Entomol. Soc. Am. 77, 475-487.
  39. Wagner, T.L., Wu, H., Sharpe, P.J.H. Schoolfield, R.M., Coulson, R.N., 1984b. Modeling insect development rate: A literature review and application of a biophysical model. Ann. Entomol. Soc. Am. 77, 208-225. https://doi.org/10.1093/aesa/77.2.208

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