A Study on the Prediction of Suitability Change of Forage Crop Italian Ryegrass (Lolium multiflorum L.) using Spatial Distribution Model

공간분포모델을 활용한 사료작물 이탈리안 라이그라스(Lolium multiflorum L.)의 재배적지 변동예측연구

  • Kim, Hyunae (Department of Plant Science, College of Agriculture and Life Science, Seoul National University) ;
  • Hyun, Shinwoo (Department of Plant Science, College of Agriculture and Life Science, Seoul National University) ;
  • Kim, Kwang Soo (Department of Plant Science, College of Agriculture and Life Science, Seoul National University)
  • 김현애 (서울대학교 농업생명과학대학 식물생산과학부) ;
  • 현신우 (서울대학교 농업생명과학대학 식물생산과학부) ;
  • 김광수 (서울대학교 농업생명과학대학 식물생산과학부)
  • Received : 2014.05.29
  • Accepted : 2014.06.21
  • Published : 2014.06.30


Under climate change, it is likely that the suitable area for forage crop cultivation would change in Korea. The potential cultivation areas for italian ryegrass (Lolium multiflorum L.), which has been considered one of an important forage crop in Korea, were identified using the EcoCrop model. To minimize the uncertainty associated with future projection under climate change, an ensemble approach was attempted using five climate change scenarios as inputs to the EcoCrop model. Our results indicated that most districts had relatively high suitability, e.g., >80, for italian ryegrass in South Korea. Still, suitability of the crop was considerably low in mountainous areas because it was assumed that a given variety of italian ryegrass had limited cold tolerance. It was predicted that suitability of italian ryegrass would increase until 2050s but decrease in 2080s in a relatively large number of regions due to high temperature. In North Korea, suitability of italian ryegrass was considerably low, e.g., 28 on average. Under climate change, however, it was projected that suitability of italian ryegrass would increase until 2080s. For example, suitability of italian ryegrass was more than 80 in 10 districts out of 14 by 2080s. Because cold tolerance of italian ryegrass varieties has been improved, it would be preferable to optimize parameters of the EcoCrop model for those varieties. In addition, it would be possible to grow italian ryegrass as the second crop following rice in Korea in the future. Thus, it merits further study to identify suitable areas for italian ryegrass cultivation after rice using new varieties of italian ryegrass.


Climate change;EcoCrop model;Forage;Italian ryegrass;Suitability


Supported by : 농촌진흥청


  1. Kim, W. H., K. Y. Kim, M. W. Jung, H. C. Ji, Y. C. Lim, S. Seo, J. D. Kim, B. K. Yoon, and H. W. Lee, 2011: Dry matter yield and forage quality at mixture of annual legumes and italian ryegrass on paddy field. Journal of the Korean society of grassland and forage science 31, 33-38. (in Korean with English abstract)
  2. Dzyubenko, N. I., E. A. Dzyubenko, and A. N. Dzyubenko, 2004: Interactive agricultural ecological atlas of Russia and neighboring countries. Economic Plants and Their Diseases, Pests and Weeds [Online]. Available at:
  3. Kim, K. D., K. I. Sung, Y. S. Jung, H. I. Lee, E. J. Kim, J. G. Nejad, M. H. Jo, and Y. C. Lim, 2012: Suitability classes for italian ryegrass (Lolium multiflorum Lam.) using soil and climate digital database in Gangwon Province. The Korean Society of Grassland and Forage Science 32(4), 437-446. (in Korean with English abstract)
  4. Kim, K. Y., H. C. Ji, S. H. Lee, K. W. Lee, W. H. Kim, M. W. Jung, S. Seo, and G. J. Choi, 2010: Yield and nutritive value of spring-seeded early and late maturity italian ryegrass (Lolium multiflorum Lam.). The Korean Society of Grassland and Forage Science 30(2), 97-102. (in Korean with English abstract)
  5. Kim, M. J., J. G. Kim, G. S. Ki, G. J. Choi, S. Seo, and S. H. Yoon, 2007: Feeding effect of TMR using italian ryegrass silage on milk yield and composition in dairy cattle. Proceedings of the Korean Society of Grassland and Forage Science conference 45, 254-255. (in Korean with English abstract)
  6. Kim, Y. D., S. K. Suh, H. K. Park, J. S. Chae, M. G. Shin, and J. S. Yang, 1991: Multiple fodder cropping systems of upland fodder crops in southern region. Research Reports of the Rural Development Administration 33, 47-53. (in Korean with English abstract)
  7. Yun, W. T., L. Stefanova, and T. N. Krishinamurti, 2003: Improvement of the multimodel superensemble technique for seasonal forecasts. Journal of Climate 16, 3834-3840.<3834:IOTMST>2.0.CO;2
  8. Shin, J. C., C. G. Lee, Y. H. Yoon, and Y. S. Kang, 2000: Impact of climate variability and change on crop productivity. Korean Journal of Crop Science 45, 12-27. (in Korean with English abstract)
  9. Suh, M. S., S. G. Oh, D. K. Lee, D. H. Cha, S. J. Choi, C. S. Jin, and S. Y. Hong, 2012: Development of new ensemble methods based on the performance skills of regional climate models over South Korea. Journal of Climate 25, 7067-7085.
  10. Yang, J. S., 1992: Cultivation of forage crops after rice on paddy-land. Journal of Korean Grassland Forage Science 31, 261-268. (in Korean with English abstract)
  11. Weigel, A. P., R. Knutti, M. A. Liniger, and C. Appenzeller, 2010: Risks of model weighting in multimodel climate projections. Journal of Climate 23, 4175-4191.
  12. Feng, J., D. K. Lee, C. Fu, J. Tang, Y. Sato, H. Kato, J. L. Megregor, and K. Mabuchi, 2011: Comparison of four ensemble methods combining regional climate simulations over Asia. Meteorology and Atmospheric Physics 111, 41-53.
  13. Hijmans, R. J., L. Guarino, M. Cruz, and E. Rojas, 2001: Computer tools for spatial analysis of plant genetic resources data. 1. DIVA-GIS. Plant Genetic Resources Newsletter 127, 15-19.
  14. Hijmans, R. J., S. E. Cameron, J. L. Parra, P. G. Jones, and A. Jarvis, 2005: Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25, 1965-1978.
  15. IPCC, 2007: The AR4 Synthesis Report.
  16. MIFAFF, 2011: Forage production and utilization for animal production. Ministry of Food, Agriculture, Forest and Fisheries. (in Korean)
  17. Choi, G. J., Y. C. Lim, K. Y. Kim, B. R. Sung, J. K. Lee, H. C. Ji, H. S. Park, D. K. Kim, J. S. Moon, and S. Seo, 2007: A ultra cold-tolerant and early-maturing italian ryegrass (Lolium multiflorum Lam.) new variety, 'Kowinearly'. Proceedings of the Korean Society of Grassland and Forage Science conference 45, 192-193. (in Korean with English abstract)
  18. Ramirez-Villegas, J., A. Jarvis, and P. Laderach, 2013: Empirical Approaches for Assessing Impacts of Climate Change on Agriculture: The EcoCrop model and a case study with grain sorghum. Agricultural and Forest Meteorology 170: 67-78.
  19. Krishnamurti, T. N., C. M. Kishtawal, T. E. LaRow, D. R. Bachiochi, Z. Zhang, E. Williford, S. Gadgil, and S. Surendran, 1999: Improved weather and seasonal climate forecasts from multimodel superensemble. Science 285, 1548-1550.
  20. Krishnamurti, T. N., C. M. Kishtawal, Z. Zhang, T. LaRow, D. Bachiochi, and E. Williford, 2000: Multimodel ensemble forecasts for weather and seasonal climate. Journal of Climate 13, 4196-4216.<4196:MEFFWA>2.0.CO;2
  21. Lee, B. W., J. C. Shin, and J. H. Bong, 1991: Impact of climate change induced by the increasing atmospheric $CO_{2}$ concentration on agroclimatic resources, net primary productivity and rice yield potential in Korea. Korean Journal of Crop Science 36, 112-126. (in Korean with English abstract)
  22. Seo, S., W. H. Kim, K. Y. Kim, G. J. Choi, H. C. Ji, S. H. Lee, K. W. Lee, and M. J. Kim, 2011: Forage productivity and quality of domestic italian ryegrass and barley varieties. The Korean Society of Grassland and Forage Science 31, 261-268. (in Korean with English abstract)