- Volume 50 Issue 6
DOI QR Code
A Study on Grain Yield Response and Limitations of CERES-Barley Model According to Soil Types
- Sang, Wan-Gyu (National Institute of Crop Science) ;
- Kim, Jun-Hwan (National Institute of Crop Science) ;
- Shin, Pyeong (National Institute of Crop Science) ;
- Cho, Hyeoun-Suk (National Institute of Crop Science) ;
- Seo, Myung-Chul (National Institute of Crop Science) ;
- Lee, Geon-Hwi (National Institute of Crop Science)
- Received : 2017.07.05
- Accepted : 2017.11.06
- Published : 2017.12.31
Crop simulation models are valuable tools for estimating crop yield, environmental factors and management practices. The objective of this study was to evaluate the effect of soil types on barley productivity using CERES (Crop Environment REsource Synthesis)-barley, cropping system model. So the behavior of the model under various soil types and climatic conditions was evaluated. The results of the sensitivity analysis in temperature,
Grant : Cooperative Research Program for Agricultural Science & Technology Development
Supported by : Rural Development Administration
- Fatemi, Z., F. Paknejad, E. Amiri, and M.N. Eilkaee. 2014. Capability of the CERES-barley model for prediction of barley varieties growth under deficit irrigation. J. Biol. 2(1):1-7.
- He, Y., L. Hou, H. Wang, K. Hu, and B. McConkey. 2014. A modelling approach to evaluate the long-term effect of soil texture on spring wheat productivity under a rain-fed condition. Sci. Rep. 4:5736.
- Jones, J.W., G. Hoogenboom, C.H. Porter, K.J. Boote, W.D. Batchelor, L.A. Hunt, P.W. Wilkens, U. Singh, A.J. Gijsman, and J.T. Ritchie. 2003. DSSAT cropping system model. Eur. J. Agron. 18:235-265. https://doi.org/10.1016/S1161-0301(02)00107-7
- Kim, D.J., J.H. Roh, J.G. Kim, and J.I. Yun. 2013a. Grain yield response of CERES-Barley adjusted for domestic cultivars to the simultaneous changes in temperature, precipitation, and CO2 concentration. Korean J. Agric. For. Meteorol. 15:312-319. https://doi.org/10.5532/KJAFM.2013.15.4.312
- Kim, D.J., J.H. Roh, J.G. Kim, and J.I. Yun. 2013b. The influence of shifting planting date on cereal grains production under the projected climate change. Korean J. Agric. For. Meteorol. 15(1):26-39. https://doi.org/10.5532/KJAFM.2013.15.1.026
- Kim, D.J., S.O. Kim, K.H. Moon, and J.I. Yun. 2012. An outlook on cereal grains production in South Korea based on crop growth simulation under the RCP 8.5 climate change scenarios. Korean J. Agric. For. Meteorol. 14(3):132-141. https://doi.org/10.5532/KJAFM.2012.14.3.132
- Martinez, M.S., R.L. Urrea, L.M. Molina, J. Lizaso, and M. Quemada. 2009. Improving simulation of soil water balance using lysimeter observations in a semiarid climate. Procedia Environ. Sci. 19:534-542.
- Nakayama, K. and A. Nakazawa. 1967. Locational effects on yield of barley. Agric. Hort. 42:1,027-1,032.
- Shim, K.M., S.H. Min, D.B. Lee, G.Y. Kim, H.C. Jeong, S.B. Lee, and K.K. Kang. 2011. Simulation of the effects of the A1B climate change scenario on the potential yield of winter naked barley in Korea. Korean J. Agric. For. Meteorol. 13(4):192-203. https://doi.org/10.5532/KJAFM.2011.13.4.192
- Suh, H.S., B.H. Lee, and G.S. Chung. 1986. Influence of weather condition for grain yield in barley. Korean J. Crop Sci. 31:318-325.
- Yu, I.S. 1965. Studies on the effect of weather factors upon the barley yields in Chinju area. RDA Annu. Rep. 8:57-62.