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Assessment of microclimate conditions under artificial shades in a ginseng field

  • Lee, Kyu Jong (Research Institute for Agriculture and Life Sciences, Seoul National University) ;
  • Lee, Byun-Woo (Department of Plant Science, Seoul National University) ;
  • Kang, Je Yong (Korea Ginseng Corporation Research Institute, Korea Ginseng Corporation) ;
  • Lee, Dong Yun (Korea Ginseng Corporation Research Institute, Korea Ginseng Corporation) ;
  • Jang, Soo Won (Korea Ginseng Corporation Research Institute, Korea Ginseng Corporation) ;
  • Kim, Kwang Soo (Department of Plant Science, Seoul National University)
  • Received : 2015.06.29
  • Accepted : 2015.10.16
  • Published : 2016.01.15

Abstract

Background: Knowledge on microclimate conditions under artificial shades in a ginseng field would facilitate climate-aware management of ginseng production. Methods: Weather data were measured under the shade and outside the shade at two fields located in Gochang-gun and Jeongeup-si, Korea, in 2011 and 2012 seasons to assess temperature and humidity conditions under the shade. An empirical approach was developed and validated for the estimation of leaf wetness duration (LWD) using weather measurements outside the shade as inputs to the model. Results: Air temperature and relative humidity were similar between under the shade and outside the shade. For example, temperature conditions favorable for ginseng growth, e.g., between $8^{\circ}C$ and $27^{\circ}C$, occurred slightly less frequently in hours during night times under the shade (91%) than outside (92%). Humidity conditions favorable for development of a foliar disease, e.g., relative humidity > 70%, occurred slightly more frequently under the shade (84%) than outside (82%). Effectiveness of correction schemes to an empirical LWD model differed by rainfall conditions for the estimation of LWD under the shade using weather measurements outside the shade as inputs to the model. During dew eligible days, a correction scheme to an empirical LWD model was slightly effective (10%) in reducing estimation errors under the shade. However, another correction approach during rainfall eligible days reduced errors of LWD estimation by 17%. Conclusion: Weather measurements outside the shade and LWD estimates derived from these measurements would be useful as inputs for decision support systems to predict ginseng growth and disease development.

Keywords

References

  1. Parmenter G, Littlejohn R. Effect of shade on growth and photosynthesis of Panax ginseng. New Zeal J Crop Hort 2000;28:255-69. https://doi.org/10.1080/01140671.1997.9514147
  2. Li TSC. Asian and American ginseng-a review. Horttechnology 1995;5:27-34.
  3. Punja ZK. Fungal pathogens of American ginseng (Panax quinquefolius L.) in British Columbia, Canada. Can J Plant Pathol 1997;19:301-6. https://doi.org/10.1080/07060669709500528
  4. Sentelhas PC, Monteiro JEBA, Gillespie TJ. Electronic leaf wetness duration sensor: why it should be painted. Int J Biometeorol 2004;48:202-5. https://doi.org/10.1007/s00484-004-0200-z
  5. Huber L, Gillespie TJ. Modeling leaf wetness in relation to plant disease epidemiology. Annu Rev Phytopathol 1992;30:553-77. https://doi.org/10.1146/annurev.py.30.090192.003005
  6. Magarey RD, Seem RC, Weiss A, Gillespie T, Huber L. Estimating surface wetness on plants. In: Hatfield JL, Baker JM, editors. Micrometeorology in agricultural systems. Madison, WI: Am. Soc. Agronomy; 2004. p. 199-226.
  7. Quayyum HA, Dobinson KF, Traquair JA. Conidial morphology, virulence, molecular characterization and hostparasiteinteraction of selected Alternaria panax isolates on American ginseng. Can J Bot 2005;83:1133-43. https://doi.org/10.1139/b05-086
  8. Kim KS, Taylor SE, Gleason ML. Development and validation of a leaf wetness model using a fuzzy logic system. Agric For Meteorol 2004;127:53-64. https://doi.org/10.1016/j.agrformet.2004.07.006
  9. Hill SN, Hausbeck MK. Evaluation of TOM-CAST in timing fungicide sprays for management of Alternaria blight on American ginseng. Plant Dis 2008;92:1611-5. https://doi.org/10.1094/PDIS-92-12-1611
  10. Slingo JM. The development and verification of a cloud prediction scheme for the ECMWF model. Q J Roy Meteor Soc 1987;113:899-927. https://doi.org/10.1002/qj.49711347710
  11. Souther S, McGraw JB. Synergistic effects of climate change and harvest on extinction risk of American ginseng. Ecol Appl 2014;24:1463-77. https://doi.org/10.1890/13-0653.1
  12. Kim KS, Taylor SE, Gealson ML, Villalobos R, Arauz LF. Estimation of leaf wetness duration using empirical models in northwestern Costa Rica. Agric For Meteorol 2005;129:53-67. https://doi.org/10.1016/j.agrformet.2004.11.009
  13. Lee KJ, Kang JY, Lee DY, Jang SW, Lee S, Lee BW, Kim KS. Use of an empirical model to estimate leaf wetness duration for operation of a disease warning system under a shade in a ginseng field. Plant Dis 2015. http://dx.doi.org/10.1094/PDIS-08-14-0790-SR.
  14. Kim KS, Taylor SE, Gleason ML, Nutter FW, Coop LB, Pfender WF, Seem RC, Sentelhas PC, Gillespie TJ, Marta AD, et al. Spatial portability of numerical models of leaf wetness duration based on empirical approaches. Agric For Meteorol 2010;150:871-80. https://doi.org/10.1016/j.agrformet.2010.02.006
  15. Nelder JA, Mead R. A simplex algorithm for function minimization. Comput J 1965;7:308-13. https://doi.org/10.1093/comjnl/7.4.308
  16. Yu KW, Murthy HN, Hahn EJ, Paek KY. Ginsenoside production by hairy root cultures of Panax ginseng: influence of temperature and light quality. Biochem Eng J 2005;23:53-6. https://doi.org/10.1016/j.bej.2004.07.001
  17. Stathers RJ, Bailey WG. Energy receipt and partitioning in a ginseng shade canopy and mulch environment. Agric For Meteorol 1986;37:1-14. https://doi.org/10.1016/0168-1923(86)90024-9
  18. Caffi T, Rossi V, Bugiani R. Evaluation of a warning system for controlling primary infections of grapevine downy mildew. Plant Dis 2010;94:709-16. https://doi.org/10.1094/PDIS-94-6-0709
  19. Duttweiler KB, Gleason ML, Dixon PM, Sutton TB, McManus PS, Monteiro JEBA. Adaptation of an apple sooty blotch and flyspeck warning system for the Upper Midwest United States. Plant Dis 2008;92:1215-22. https://doi.org/10.1094/PDIS-92-8-1215
  20. Madden LV, Ellis MA, Lalancette N, Hughes G, Wilson LL. Evaluation of a disease warning system for downy mildew of grapes. Plant Dis 2000;84:549-54. https://doi.org/10.1094/PDIS.2000.84.5.549
  21. Nita M, Ellis MA, Wilson LL, Madden LV. Evaluation of a disease warning system for Phomopsis cane and leaf spot of grape: a field study. Plant Dis 2006;90:1239-46. https://doi.org/10.1094/PD-90-1239