Korean Journal of Weed Science (한국잡초학회지)

The Korean Society of Weed Science & The Turfgrass Society of Korea Archive (한국잡초학회 & 한국잔디학회)
권호 표지
DOI QR코드

DOI QR Code

Prediction of Seedling Emergence and Early Growth of Monochoria vaginalis and Scirpus juncoides under Elevated Temperature

상승된 온도 조건에서 물달개비(Monochoria vaginalis)와 올챙이고랭이(Scirpus juncoides)의 출아 및 초기생장 예측

  • Park, Min-Won (Department of Plant Science, Seoul National University) ;
  • Kim, Jin-Won (Department of Plant Science, Seoul National University) ;
  • Lim, Soo-Hyun (Department of Plant Science, Seoul National University) ;
  • Lee, In-Yong (National Academy of Agricultural Science, RDA) ;
  • Kim, Do-Soon (Department of Plant Science, Seoul National University)
  • 박민원 (서울대학교 농업생명과학대학 식물생산과학부) ;
  • 김진원 (서울대학교 농업생명과학대학 식물생산과학부) ;
  • 임수현 (서울대학교 농업생명과학대학 식물생산과학부) ;
  • 이인용 (농촌진흥청 국립농업과학원) ;
  • 김도순 (서울대학교 농업생명과학대학 식물생산과학부)
  • Received : 2010.06.17
  • Accepted : 2010.06.25
  • Published : 2010.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

This experiment was conducted to investigate seedling emergence and early growth of Monochoria vaginalis and Scirpus juncoides in the controlled-environment chamber maintained at different temperatures. Non-linear regression analyses of observed data against effective accumulated temperature (EAT) with the Gompertz and logistic models showed that the Gompertz and logistic models worked well in describing seedling emergence and early growth of both weed species, respectively, regardless of temperature. EATs required for 50% of the maximum seedling emergence and the maximum leaf number of M. vaginalis were estimated to be 69.3 and $131^{\circ}C$, respectively, while those of S. juncoides were 94.8 and $137^{\circ}C$, respectively. Models developed in this study thus were used to predict seedling emergence and early growth under elevated temperature condition. If rotary tillage with water is made on 27 May under $+3^{\circ}C$ elevated temperature condition, dates for 50% of the maximum seedling emergence and 4 leaf stage were predicted to be 1 June and 15 June for M. vaginalis and 3 June and 14 June for S. juncoides, respectively. As compared with current temperature, these dates are 1-2 days earlier for the seedling emergence and 3 days earlier for the early growth, suggesting that earlier application of herbicides is required for effective control of M. vaginalis and S. juncoides under elevated temperature condition in the future.

일년생 잡초인 물달개비 및 올챙이고랭이의 출아와 초기생장을 예측하기 위한 모델 구축을 위하여 온도조건을 달리한 식물생장상에서 포트실험을 수행하였다. 이들 잡초의 출아 및 초기생장과 유효적산온도와의 관계를 비선형회귀로 분석한 결과 온도조건에 상관없이 각각 Gompertz 모델 및 logistic 모델로 설명이 잘 되었다. 물달개비 및 올챙이고랭이의 최대 출아율의 50%에 필요한 유효적산온도는 각각 69.3 및 $94.8^{\circ}C$이었으며, 4엽기에 이르는데 필요한 유효 적산온도는 각각 247 및 $234^{\circ}C$이었다. 본 연구에서 개발된 모델로 분석한 결과 평균 기온이 $3^{\circ}C$ 상승하게 되면 이들 잡초의 50% 출아는 물달개비의 경우 1일, 올챙이고랭이의 경우는 2일 빨라지고, 4엽기에 다 다르는 날짜는 이들 잡초 모두 3일이 빨라질 것으로 예측되었다. 따라서 온도상승조건에서 물달개비 및 올챙이고랭이를 효과적으로 방제하기 위해서는 현재의 처리시기보다 약 2-3일 빨라져야 할 것으로 예상된다.

Keywords

References

  1. Cussans, G. W., S. Raudonius, P. Brain and S. Cumberworth. 1996. Effect of depth of seed burial and soil aggregate size on seedling emergence of Alopecurus myosuroides. Galium aparine, Srellaria media and wheat (Triticum aesrivum L.). Weed Res. 36: 122-142.
  2. Gompenz, B. 1825. On the nature of the functions expressive of the law of human monality, and on a new mode of determining the value of life contingencies. Philos. Trans. 115:513-585. https://doi.org/10.1098/rstl.1825.0026
  3. Genstat 5 Committee. 1997. Genstat 4 Release 4.1 : Reference manual supplement to Genstat 5 Committee (1993) Genstat 5 Reference manual Release 3. Numerical Algorithms Group, Oxford, UK.
  4. Ichizen, N., T. Takeuchi, H. Omokawa, M. Knnnai and T. Takematu. 1991. Effect of soil type, water depth, water leakage and temperature of flowable and granular formulations of herbicides. Weed Res. Jpn. 36(4):338-342.
  5. IPCC. 2007. Special report of the Intergovernmental Panel on Climate Change, CD-ROM.
  6. Jones, P. G., and P. K. Thomton. 2003. The potential impacts of climate change on maize production in Africa and Latin America in 2055. Global Environ. Change. 13:51-59. https://doi.org/10.1016/S0959-3780(02)00090-0
  7. Kim, D. S., P. Brain, E. J. P. Marshall and J. C. Caseley. 2002. Modelling herbicide dose and weed density effects on crop : weed competition. Weed Res. 42:1-13. https://doi.org/10.1046/j.1365-3180.2002.00253.x
  8. Kim, D. S., Y. W. Kwon and B. W. Lee, 2006. The experiment was consisted of three replicates in a completely randomized design. Kor. J. Crop Sci. 51(4):362-368.
  9. Kim, J. W., B. C. Moon, S. H. Lim, J. H. Chung and D. S. Kim. 2010. Prediction of seedling emergence and early growth of Eleocharis kuroguwai Ohwi under elevated temperature. Kor. J. Weed Sci. 30(2)(in press).
  10. Kwon O. D., S. J. Koo, J. S. Kim, D. J. Lee, H. J. Lee, T. S. Park. Y. I. Kuk and J. O. Guh. 2000. Herbicide response and control of sulfonylurea-resistant biotype of Monochoria vaginalis in paddy fields in Chonnam province, Korea. Kor. J. Weed Sci. 20(1):46-52.
  11. Lee, J. N., D. S. Kim, K. H. Hwang and S. J. Koo. 2006. Environmental factors affecting the herbicide performance of flucetosulfuron. Kor. J. Weed Sci. 26(1), 1-9.
  12. Ma S. Y., S. L. Ko and S. S. Han. 2002. Resistance of Scirpus juncoides Roxb. biotype to sulfonylurea herbicides. Kor. J. Weed Sci. 22(4): 334-342.
  13. Moon, B. C., J. S. Park, I. Y. Lee, J. U. Park, O. D. Kwon and Y. I. Kuk. 2004. Effect of several temperature conditions on germination and leaf development response of paddy weeds. Kor. J. Weed Sci. 24(3):206-213.
  14. Moon, B. C. 2010. Modelling weed competition and herbicide effects on rice and decision-making for weed control in transplanted rice cultivation. PhD thesis, Seoul National University, Korea.
  15. Motila, H. 2000. Forecast of leaf emergence by accumulated efficient air temperature in bamyardgrass. Kor. J. Weed Sci. 20(supplement 1):19-26.
  16. Park J. E., I. Y. Lee, B. C. Moon, C. S. Kim, T. A. Park, S. T. Lim, J. R. Cha, S. M. Oh. I. B. Im, J. B. Hwang and Y. C. Ku. 2002. Occurrence characteristics and dynamics of weed flora in paddy rice field. Kor. J. Weed Sci. 22(3):272-279.
  17. Pyon, J. Y., T. G. Kang, C. W. Park and K. S. Kang. 1990. Effect of soil temperature and planting depth on emergence and growth of perennial paddy weeds. Kor. J. Weed Sci. 10(3): 197-201.
  18. Steinbauer G. P., and B. Grigsby. 1957. Interaction of temperature, light, and moistening agent in the germination of weed seeds. Weeds 5(3): 175-182. https://doi.org/10.2307/4040187
  19. Streibig, J. C. 1980. Models for curve fitting herbicide dose response data. Acta Agric. Scandi. 30:59-64. https://doi.org/10.1080/00015128009435696
  20. Tubiello, F. N., C. Rosenzweig, R. A. Goldburg, S. Jagtap and J. W. Jones. 2002. Effects of climate change on US crop production : simulation results using two different GCM scenarios. Part I : Wheat, potato, maize, and citrus. Climate Res. 20:259-270. https://doi.org/10.3354/cr020259

Cited by

  1. Dormancy Associated Weedy Risk of the F1 Hybrid Resulted from Gene Flow from Oilseed Rape to Mustard vol.4, pp.1, 2015, https://doi.org/10.5660/WTS.2015.4.1.35