Abstract
In this study, information is collected on the weather, soils, field management and agricultural statistics in the Bangladesh, India and Myanmar (BIM) region. Crop growth parameters within the EPIC (Environmental Policy Integrated Climate) model are calibrated using cultivar data and regional experimental records of indica hybrid rice Fyou498 and Fengliangyou4 in China. Potential yields of rice are then simulated in the BIM region from 1996 to 2005. The effects of local irrigation and fertilization levels on super hybrid rice yield are examined. The potential yields of Chinese hybrid rice at local irrigation and fertilization levels in 2000 and at full irrigation and rational fertilization levels are found to be 10.22 t/ha and 11.33 t/ha, respectively. The potential for increasing monsoon rice production in the study region is 227.71 million tons. The eastern Indo-Gangetic Plain in India, the southeast coast of India Peninsula and the Ayeyarwady Delta in Myanmar have the largest potentials for monsoon rice production. The northeastern and southwestern areas of the Deccan Plateau and the northwestern region of the Indo-Gangetic Plain need to improve irrigation equipment to meet the water-use requirements of high-yield rice. The central and southern plains in Myanmar and northeastern India need greater access to nitrogen fertilization for high-yield rice.
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References
Basak J K, Ali M A, Islam M N et al., 2010. Assessment of the effect of climate change on boro rice production in Bangladesh using DSSAT model. Journal of Civil Engineering, 38(2): 95–108.
Batjes N H, 2008. ISRIC-WISE Harmonized Global Soil Profile Dataset (Ver.3.1). Report 2008/02, ISRIC–World Soil Information, Wageningen (with data set, available at www.isric.org).
Batjes N H, 2015. World Soil Property Estimates For Broad-Scale Modelling (WISE30sec). Report 2015/01, ISRIC–World Soil Information, Wageningen (with data set, available at www.isric.org).
Chen L, Hu J Y, Hmwe H et al., 2014. Current status and developing strategy of hybrid rice in Myanmar. Hybrid Rice, 29(2): 78–83. (in Chinese)
Danielson J J, Gesch D B, 2011. Global multi-resolution terrain elevation data 2010 (GMTED2010). US Geological Survey (with data set, available at https://topotools.cr.usgs.gov/gmted_viewer).
Das L, Lohar D, Sadhukhan I et al., 2007. Evaluation of the performance of ORYZA2000 and assessing the impact of climate change on rice production in Gangetic West Bengal. Journal of Agrometeorology, 9(1): 1–10.
Fan L, Lu C H, Chen Z, 2011. A review on crop yield gaps and the causes. Journal of Natural Resources, 26(12): 2155–2166. (in Chinese)
Fan L, Lu C H, Chen Z, 2012. A review of EPIC model and its applications. Progress in Geography, 31(5): 584–592. (in Chinese)
Foley J A, Ramankutty N, Brauman K A et al., 2011. Solutions for a cultivated planet. Nature, 478(7369): 337.
Gassman P W, Williams J R, Benson V W et al., 2005. Historical Development and Applications of the EPIC and APEX Models. Center for Agricultural & Rural Development Publications.
Godfray H C J, Beddington J R, Crute I R et al., 2010. Food security: The challenge of feeding 9 billion people. Science, 327(5967): 812–818.
Guilpart N, Grassini P, Sadras V O et al., 2017. Estimating yield gaps at the cropping system level. Field Crops Research, 206: 21–32.
Harris I, Jones P D, Osborn T J et al., 2014. Updated high-resolution grids of monthly climatic observations: The CRU TS3.10 Dataset. International Journal of Climatology, 34(3): 623–642.
Hirose T, 2005. Development of the Monsi-Saeki theory on canopy structure and function. Annals of Botany, 95(3): 483–494.
Hu J Y, Jiang A Q, 2010. Current status and developing strategy of hybrid rice in India. Hybrid Rice, 25(3): 82–87. (in Chinese)
Hu J Y, Jiang A Q, Jiang X G, 2011. Current status and developing strategy of hybrid rice in Bangladesh. Hybrid Rice, 26(3): 76–81. (in Chinese)
Ittersum M K V, Cassman K G, Grassini P et al., 2013. Yield gap analysis with local to global relevance: A review. Field Crops Research, 143(1): 4–17.
Liu J, 2009. A GIS-based tool for modelling large-scale crop-water relations. Environmental Modelling & Software, 24(3): 411–422.
Liu J, Williams J R, Zehnder A J B et al., 2007. GEPIC-modelling wheat yield and crop water productivity with high resolution on a global scale. Agricultural Systems, 94(2): 478–493.
Meinardus A, 1992. EPIC: Erosion productivity impact calculator. International Journal of Computer Vision, 9(1): 5–11.
Millennium Ecosystem Assessment (MEA), 2005. Ecosystems and Human Well-being: Synthesis. Washington DC: Island Press.
Monteith J L, Moss C J, 1977. Climate and the efficiency of crop production in Britain [and Discussion]. Philosophical Transactions of the Royal Society of London, 281(980): 277–294.
Mueller N D, Gerber J S, Johnston M et al., 2012. Closing yield gaps through nutrient and water management. Nature, 490(7419): 254–257.
Neumann K, Verburg P H, Stehfest E et al., 2010. The yield gap of global grain production: A spatial analysis. Agricultural Systems, 103(5): 316–326.
Peel M C, Finlayson B L, Mcmahon T A, 2007. Updated world map of the Köppen-Geiger climate classification. Hydrology & Earth System Sciences, 11(3): 259–263.
Peng S, Cassman K G, Virmani S S et al., 1999. Yield potential trends of tropical rice since the release of IR8 and the challenge of increasing rice yield potential. Crop Science, 39(6): 1552–1559.
Priya S, Shibasaki R, 2001. National spatial crop yield simulation using GIS-based crop production model. Ecological Modelling, 136(2/3): 113–129.
Smith P, Martino D, Cai Z et al., 2008. Greenhouse gas mitigation in agriculture. Philosophical Transactions of the Royal Society of London, 363(1492): 789–813.
Spielman D J, Kolady D E, Ward P S et al., 2012. Public expenditures, private incentives, and technology adoption: The economics of hybrid rice in South Asia. IFPRI Discussion Paper No.01233. Available at SSRN: https://ssrn.com/abstract=2197486 or http://dx.doi.org/10.2139/ssrn.2197486.
Subash N, Mohan H S R, 2012. Evaluation of the impact of climatic trends and variability in rice–wheat system productivity using Cropping System Model DSSAT over the Indo-Gangetic Plains of India. Agricultural & Forest Meteorology, 164(164): 71–81.
Timsina J, Wolf J, Guilpart N et al., 2016. Can Bangladesh produce enough cereals to meet future demand? Agricultural System, http://dx.doi.org/10.1016/j.agsy.2016.11.003s.
Waddington S R, Li X, Dixon J et al., 2010. Getting the focus right: production constraints for six major food crops in Asian and African farming systems. Food Security, 2(1): 27–48.
Wart J V, Bussel L G J V, Wolf J et al., 2013. Use of agro-climatic zones to upscale simulated crop yield potential. Field Crops Research, 143(1): 44–55.
Xiong W, Balkovič J, Velde M V D et al., 2014. A calibration procedure to improve global rice yield simulations with EPIC. Ecological Modelling, 273(8): 128–139.
You L, Wood-Sichra U, Fritz S et al., 2017. Spatial Production Allocation Model (SPAM) 2005 v3.2. Available at http://mapspam.info
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Foundation: Key Program of the Chinese Academy of Sciences, No.ZDRW-ZS-2016-6; National Key Research and Development Program of China, No.2017YFC0503803
Author: Wang Xiaobo, PhD Candidate, specialized in ecosystem ecology.
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Wang, X., Wang, S., Chen, J. et al. Simulating potential yields of Chinese super hybrid rice in Bangladesh, India and Myanmar with EPIC model. J. Geogr. Sci. 28, 1020–1036 (2018). https://doi.org/10.1007/s11442-018-1519-4
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DOI: https://doi.org/10.1007/s11442-018-1519-4