DOI QR코드

DOI QR Code

Excessive soil water stress responses of sesame (Sesamum indicum L.) and perilla (Perilla frutescens L.) cultivated from paddy fields with different topographic features

  • Ryu, Jongsoo (Crop Production Technology Research Division, National Institute of Crop Science, RDA) ;
  • Baek, Inyeoul (Crop Production Technology Research Division, National Institute of Crop Science, RDA) ;
  • Kwak, Kangsu (Crop Production Technology Research Division, National Institute of Crop Science, RDA) ;
  • Han, Wonyoung (Crop Production Technology Research Division, National Institute of Crop Science, RDA) ;
  • Bae, Jinwoo (Crop Production Technology Research Division, National Institute of Crop Science, RDA) ;
  • Park, Jinki (Crop Production Technology Research Division, National Institute of Crop Science, RDA) ;
  • Chun, Hyen Chung (Crop Production Technology Research Division, National Institute of Crop Science, RDA)
  • Received : 2018.06.11
  • Accepted : 2018.09.27
  • Published : 2018.12.31

Abstract

In Korea, the largest agricultural lands are paddy fields which have poor infiltration and drainage properties. Recently, the Korean government has pursued cultivating upland crops in paddy fields to reduce overproduced rice in Korea. For this policy to succeed, it is critical to understand the topographic information of paddy fields and its effects on upland crops cultivated in the soils of paddy fields. The objective of this study was to characterize the growth properties of sesame and perilla from paddy fields with three soil topographic features and soil water effects which were induced by the topographic features of the sesame and perilla. The crops were planted in paddy fields located in Miryang, Gyeongnam with different topographies: mountain foot slope, local valley and alluvial plain. Soil water contents and groundwater levels were measured every hour during the growing season. The paddy field of the mountain foot slope was significantly effective in alleviating wet injury for the sesame and perilla in the paddy fields. The paddy field of the mountain foot slope had a decreased average soil water content and groundwater level during cultivation. Stress day index (SDI) from the alluvial plain paddy field had the greatest values from both crops and the smallest from the ones from the paddy field of the mountain foot slope. This result means that sesame and perilla had the smallest stress from the soil water content of the paddy field on the mountain foot slope and the greatest stress from the soil water content of the alluvial plain. It is important to consider the topography of paddy fields to reduce wet injury and to increase crop yields.

Keywords

CNNSA3_2018_v45n4_749_f0001.png 이미지

Fig. 1. Satellite images (top) and experiment plot diagram (bottom) from three paddy felds; A: Mountain foot slopes, B: Local valley and C: Alluvial plains.

CNNSA3_2018_v45n4_749_f0002.png 이미지

Fig. 2. Locations of soil water and groundwater level measurements from each experiment plot.

CNNSA3_2018_v45n4_749_f0003.png 이미지

Fig. 3. Average and standard deviation values of soil water (top) and groundwater level (bottom) from three paddy fields (mountain foot slopes, local valley and alluvial plains). The points represent days of excessive soil water calculated from soil water content (top) and groundwater level (bottom).

Table 1. Soil properties of three experimental sites.

CNNSA3_2018_v45n4_749_t0001.png 이미지

Table 2. Growth and yield characteristics of sesame from three paddy felds; Mountain foot slopes, local valley, and alluvial plains.

CNNSA3_2018_v45n4_749_t0002.png 이미지

Table 3. Growth and yield characteristics of perilla from three paddy fields; Mountain foot slopes, local valley, and alluvial plains.

CNNSA3_2018_v45n4_749_t0003.png 이미지

Table 4. Summary of SPAD chlorophyll meter and SDI results of sesame and perilla from three paddy felds; Mountain foot slopes, local valley, and alluvial plains.

CNNSA3_2018_v45n4_749_t0004.png 이미지

References

  1. Ahmad N, Kanwar RS. 1989. Crop susceptibility factors for corn and their effect on the stress-day index. Transactions of the American Society of Agricultural Enginieers 32:1979-1986. https://doi.org/10.13031/2013.31251
  2. Agren AM, Lidberg W, Stromgren M, Ogilie J, Arp PA. 2014. Evaluating digital terrain indices for soil wetness mapping-a Swedish case study. Hydrology and Earth System Sciences 18:3623-3634. https://doi.org/10.5194/hess-18-3623-2014
  3. Anderson MG, Kneale PE. 1980. Topography and hillslope soil water relationships in a catchment of low relief. Journal of Hydrology 47:1-2. https://doi.org/10.1016/0022-1694(80)90044-X
  4. Ashri A. 1998. Sesame breeding. Plant Breeding Reviews 16:179-228.
  5. Benz R, Conti F, Fioravanti R. 1984. Extrinsic charge movement in the squid giant axon membrane. Effect of pressure and temperature. European Biophysics Journal 11:51-59.
  6. Chun HC, Jung KY, Choi YD, Lee SH, Kang HW. 2016. The growth and yield changes of foxtail millet (Setaria italic L.), proso millet (Panicum miliaceum L.), sorghum (Sorghum bicolor L.), adzuki bean (Vigna angularis L.), and sesame (Sesamum indicum L.) as affected by excessive soil-water. Korean Journal of Agricultural Science 43:547-559.
  7. Chun HC, Jung KY, Choi YD, Lee SH. 2017. Improved method of suitability classification for sesame (Sesamum indicum L.) cultivation in paddy field soils. Korean Journal of Soil Science and Fertilizer 50:520-529. [in Korean]
  8. Evans RO, Skaggs RW. 1984. Crop susceptibility factors for corn and soybeans to controlled flooding. ASAE Paper No. 84-2567, ASAE, St. Joseph, MI, USA.
  9. Evans RO, Skaggs RW, Sneed RE. 1990. Normalized crop susceptibility factors for corn and soybean to excess water stress. Transactions of the American Society of Agricultural Enginieers 33:1153-1161. https://doi.org/10.13031/2013.31452
  10. Evans RO, Skaggs RW, Sneed RE. 1991. Stress day index models to predict corn and soybean relative yield under high water table conditions. Transactions of the American Society of Agricultural Enginieers 345:1997-2005.
  11. Fukuda Y, Osawa T, Namiki M, Ozaki T. 1985. Studies on antioxidative substances in sesame seed. Agricultural and Biological Chemistry 49:301-306.
  12. Hagiwara Y, Kachi N, Suzuki JI. 2010. Effects of temporal heterogeneity of water supply on the growth of Perilla frutescens depend on plant density. Annals of Botany 106:173-181. https://doi.org/10.1093/aob/mcq096
  13. Hardjoamidjojo S, Skaggs RW, Schwab GO. 1982. Corn yield response to excessive soil water conditions. Transactions of the American Society of Agricultural Enginieers 25:922-927. https://doi.org/10.13031/2013.33641
  14. Hiler EA. 1969. Quantative evaluation of crop-drainage requirments. Transactions of the American Society of Agricultural Enginieers 12:499-505. https://doi.org/10.13031/2013.38876
  15. Hiler EA, Clark RN. 1971. Stress day index to characterize effects of water stress on crop yields. Transactions of the American Society of Agricultural Enginieers 14:757-761. https://doi.org/10.13031/2013.38384
  16. Kandil HM, Skaggs RW, Dayem SA, Aiad Y. 1995. DRAINMOD-S: Water management model for irrigated arid lands, crop yield and applications. Irrigation and Drainage Systems 9:239-258. https://doi.org/10.1007/BF00880866
  17. Kanwar RS, Baker JL, Mukhtar S. 1988. Excessive soil water effects at various stages of development on the growth and yield of corn. Transactions of the American Society of Agricultural Enginieers 31:133-141. https://doi.org/10.13031/2013.30678
  18. Ji CH, Kim WH, Kim KY, Lee SH, Yoon SH, Lim YC. 2009. Effect of different drained conditions on growth, forage production and quality of silage corn at paddy field. Journal of the Korean Society of Grassland and Forage Science 29:329-336. [in Korean] https://doi.org/10.5333/KGFS.2009.29.4.329
  19. Jo JS, Kim CS, Won JY. 1996. Crop rotation of the Korean ginseng (Panax ginseng CA Meyer) and the rice in paddy field. Korean Journal of Medicinal Crop Science 4:19-26. [in Korean]
  20. Jung KY, Yun ES, Park CY, Hwang JB, Choi YD, Park KD. 2011. Stress day index to predict soybean yield response by subsurface drainage in poorly drained sloping paddy fields. Korean Journal of Soil Science and Fertilizer 44:702-708. [in Korean] https://doi.org/10.7745/KJSSF.2011.44.5.702
  21. Jung KY, Yun ES, Park CY, Hwang JB, Choi YD, Park KD. 2013. Study on pattern and cause of the wet injury of upland crops by cultivation condition on paddy soils. Korean Journal of Soil Science and Fertilizer 46:127-128. [in Korean]
  22. Kang SS, Noh YS, Choi SC, Kim YS, Kim HJ, Choi MT, Ann BK, Kim HW, Kim HG, Park JH, Lee YH, Yang SH, Ryu JS, Zhang YS, Kim MS, Sonn YG, Lee CH, Ha SG, Lee DB, Kim YH. 2012. Status and changes in chemical properties of paddy soil in Korea. Korean Journal of Soil Science and Fertilizer 45:968-972. [in Korean] https://doi.org/10.7745/KJSSF.2012.45.6.968
  23. Lee JE, Kim HS, Kwon YU, Jung GH, Lee CK, Yun HT, Kim CK. 2010. Responses of root growth characters to waterlogging in soybean [Glycine max (L.) Merrill]. Korean Journal of Crop Science 55:1-7. [in Korean]
  24. Lee HL, Park KH, Lee MH, Kim HT, Seo WD, Kim JY, Baek IY, Jang DS, Ha TJ. 2013. Identification, characterization, and quantification of phenolic compounds in the antioxidant activity-containing fraction from the seeds of Korean perilla (perilla frutescens) cultivars. Food Chemistry 136:843-852. [in Korean] https://doi.org/10.1016/j.foodchem.2012.08.057
  25. Ley TW, Stevens RG. 1994. Pacific northwest publication No.475. Washington, Oregon, USA.
  26. Li Y, Yang X, Cai H, Xiao L, Xu X, Liu L. 2015. Topographical characteristics of agricultural potential productivity during cropland transformation in China. Sustainability 7:96-110.
  27. McCarty LB, Hubbard LR, Quisenberry V. 2016. Applied soil physical properties, drainage, and irrigation strategies. (pp. 1-72). Cham: Springer International Publishing, Germany.
  28. Meyer SE, McArthur D, Jorgensen GL. 1989. Variation in germination response to temperature in rubber rabbitbrush (Chrysothamnus nauseosus: Asteraceae) and its ecological implications. American Journal of Botany 76:981-991. https://doi.org/10.1002/j.1537-2197.1989.tb15078.x
  29. Mukhtar S, Baker JL, Kanwar RS. 1990. Corn growth as affected by excess soil water. American Society of Agricultural Engineers 33:437-442. https://doi.org/10.13031/2013.31348
  30. NSO (National Statistical Office). 2016. Regional statistics yearbook. NSO, Seoul, Korea. [in Korean]
  31. Purwanto MY, Hardjoamdjojo S, Nakamura R, Kubo N. 1993. Crop yield prediction by stress day indices under both excessive and deficient soil water conditions. Irrigation Engineering and Rural Planning 25:31-41.
  32. Qiu Y, Fu B, Wang J, Chen L. 2001. Soil moisture variation in relation to topography and land use in a hillslope catchment of the Loess Plateau, China. Journal of Hydrology 240:243-263. https://doi.org/10.1016/S0022-1694(00)00362-0
  33. Richardson AD, Duigan SP, Berlyn GP. 2002. An evaluation of noninvasive methods to estimate foliar chlorophyll content. New Phytologist 153:185-194. https://doi.org/10.1046/j.0028-646X.2001.00289.x
  34. RDA (Rural Development Administration). 2015. Good practice of agricultural technology; oilseed crops. RDA, Jeonju, Korea. [in Korean]
  35. Schlemmer MR, Francis DD, Shanahan JF, Schepers S. 2005. Remotely measuring chlorophyll content in corn leaves with differing nitrogen levels and relative water content. Agronomy Journal 97:106-112. https://doi.org/10.2134/agronj2005.0106
  36. Sieben WH. 1964. Relation of drainage conditions and crop yields on young clay soils in the Yssellake polders. VanZee tot Land 40.
  37. Songsri P, Jogloy S, Holbrook CC, Kesmala T, Vorasoot N, Akkasaeng C, Patanothai A. 2009. Association of root, specific leaf area and SPAD chlorophyll meter reading to water use efficiency of peanut under different available soil water. Agricultural Water Management 96:790-798. https://doi.org/10.1016/j.agwat.2008.10.009
  38. Ucan F, Killi C, Gencoglan H, Merdun H. 2007. Effect of irrigation frequency and amount on water use efficiency and yield of sesame (Sesamum indicum L.) under field conditions. Field Crops Research 101:249-258. https://doi.org/10.1016/j.fcr.2006.11.011

Cited by

  1. Allometric Expression of Sesame Cultivars in Response to Various Environments and Nutrition vol.11, pp.11, 2018, https://doi.org/10.3390/agriculture11111095