Sustainable Fertilizer Level for Winter Wheat in Different Rainfall Regions on the Loess Plateau of China

  • Xuechun Wang
  • Shishun Tao
  • Mingde Hao
  • Wei Li
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 369)

Abstract

Higher fertilization on winter wheat increased the fluctuation of winter wheat yield in different rainfall years and impacted the sustainable development of winter wheat production on the Loess Plateau. Based on the long term field experimental data at Chagnwu Agricultural Station, this paper evaluated the EPIC model. And this paper also suggested a sustainable fertilizer level for winter wheat, based on the analysis of simulation results in different rainfall regions. Results of this study indicated that: 1) The EPIC model simulated both winter wheat yields and soil water among different fertilizer levels well, with the mean R value of 0.91 and 0.89 respectively. 2) With the increasing of fertilizer, the value of IRFG (Increase Rate of Grain yield by Fertilizer) and WUEG (Water Using Rfficiency for Grain yield) became higher, when soil water in deep soil was not be used excessively; however, the value of IRFG became lower, when soil water in deep soil was used excessively. 3) In the semi-humid region, fertilizer for winter wheat should be from N4 to N5; in the semi-humid and drought-prone region and in the semi-arid region, it should be from N3 to N4; in the semi-arid and drought-prone region, it should be lower than N3.

Keywords

The loess plateau Winter wheat Fertilizer EPIC model 

References

  1. 1.
    Zhu, X.: Soil and Agriculture in the Loess Plateau. Agricultural Science Press, Beijing (1989) (in Chinese) Google Scholar
  2. 2.
    Brown, P.L.: Water use and soil-water depletion by dryland winter wheat as affected by nitrogen fertilization. Agron. J. 63, 43–46 (1971)CrossRefGoogle Scholar
  3. 3.
    Read, D.W.L., Warder, F.G., Cameron, D.R.: Factors affecting fertilizer nitrogen response of wheat insouthwestern Saskatchewan. Can. J. Soil Sci. 62, 577–586 (1982)CrossRefGoogle Scholar
  4. 4.
    Ritchie, J.T., Johnson, B.S.: Soil and plant factors affecting evaporation. In: Stewart, B.A., Nielsen, D.R. (eds.) Irrigation of Agricultural Crops, Agronomic Monograph, ASA, CSSA, SSSA, Madison, WI, USA, vol. 30, pp. 363–390 (1990)Google Scholar
  5. 5.
    Huang, M.B., Dang, T.H., Jacques, G., Monique, G.: Effect of increased fertilizer applications to wheat crop on soil-water depletion in the Loess Plateau, China. Agricultural Water Management 58, 267–278 (2003)CrossRefGoogle Scholar
  6. 6.
    Li, Y.S.: Fluctuation of yield on high-yield field and desiccation of the soil on dryland. Chin. J. Acta Pedol. Sin. 38(3), 353–355 (2001)Google Scholar
  7. 7.
    Zhang, L., Dawes, W.: WAVES—An Integrated Energy and Water Balance Model, CSIRO Land and Water Technical Report no. 31/98, Australia (1998) Google Scholar
  8. 8.
    Van Genuchten, M.T.: A Numerical Model for Water and Solute Movement in and Below the Root Zone. Research Report No. 121. US Salinity Laboratory, USDA, ARS, Riverside, CA (1987) Google Scholar
  9. 9.
    Jones, J.W., Batchelor, W.D., Hoogenboom, G., Porter, C.H., Boote, K.J., Hunt, L.A., Wilkens, P.W., Singh, U., Gijsman, A.J., Ritchie, J.T.: The DSSAT cropping system model. Europ. J. Agron. 18, 235–265 (2003)CrossRefGoogle Scholar
  10. 10.
    Williams, J.R., Jones, C., Dyke, P.T.: A modeling approach to determining the relationship between erosion and soil productivity. Trans. ASAE 27, 129–144 (1984)Google Scholar
  11. 11.
    Wang, X.C., Li, J.: Evaluation of crop yield and soil water estimates using the EPIC model for the Loess Plateau of China. Math. Comput. Model 51, 1390–1397 (2010)CrossRefGoogle Scholar
  12. 12.
    Bennie, A.T.P., Taylor, H.M., Georgen, P.G.: An assessment of the core-break method for estimating root density of different crops in the field. Soil Tillage Res. 9(24), 343–347 (1987)Google Scholar
  13. 13.
    Blake, G.R., Hartge, K.H.: Bulk density. In: Klute, A. (ed.) Methods of Soil Analysis. Part I. Physical and Mineralogical Methods, pp. 363–382. American Society of Agronomy, Madison (1986)Google Scholar
  14. 14.
    Williams, J.R., Jones, C.A., Kiniry, J.R., Spanel, D.A.: The EPIC crop growth model. Trans. ASAE 32, 497–511 (1989)Google Scholar
  15. 15.
    Williams, J.R.: The EPIC model. In: Singh, V.P. (ed.) Computer Models of Watershed Hydrology. Water Resources Publications, Highlands Ranch (1995)Google Scholar
  16. 16.
    Robert, A.B., Norman, J.R.: Sensitivity of crop yield and water use to change in a range of climatic factors and CO, concentrations: a simulation study applying EPIC to the central USA. Agr. Forest. Meteorol. 83, 171–203 (1997)CrossRefGoogle Scholar
  17. 17.
    Niu, X.Z., Easterling, W., Hays, C.J., Jacobs, A., Mearns, L.: Reliability and input-data induced uncertainty of the EPIC model to estimate climate change impact on sorghum yields in the U.S. Great Plains. Agric. Ecosys. Environ. 129, 268–276 (2009)CrossRefGoogle Scholar
  18. 18.
    Izaurralde, R.C., Williams, J.R., McGill, W.B., Rosenberg, N.J., Quiroga Jakas, M.C.: Simulating soil C dynamics with EPIC: Model description and testing against long-term data. Ecol. Model. 192, 362–384 (2006)CrossRefGoogle Scholar
  19. 19.
    Williams, J.R., Jones, C.A., Dyke, P.T.: The EPIC Model. In: Williams, J.R. (Eds.), EPIC—Erosion Productivity Impact Calculator. 1. Model Documentation. pp. 3–86, U.S. Department of Agriculture Technical Bulletin No. 1768 (1990) Google Scholar
  20. 20.
    Ko, J., Piccinni, G., Stelich, E.: Using EPIC model to manage irrigated cotton and maize. Agric. Water Manag. 96, 1323–1331 (2009)CrossRefGoogle Scholar
  21. 21.
    Hussain, G., Al-Jaloud, A.A.: Effect of irrigation and nitrogen on water use efficiency of wheat in Saudi Arabia. Agric. Water Manage. 27, 143–153 (1995)CrossRefGoogle Scholar
  22. 22.
    SPSS Inc., SPSS for Windows Base System User’s Guide Release 6.0. Marija J. Norusis/SPSS Inc. (1977) Google Scholar
  23. 23.
    Nielsen, D.C., Halvorson, A.D.: Nitrogen fertility influence on water stress and yield of winter wheat. Agron. J. 83, 1065–1070 (1991)CrossRefGoogle Scholar
  24. 24.
    Wang, X.L., Chen, M.C., Li, F.M., Li, Y.J.: Water restoration of dry soil layers in the Loess Plateau and crop yield response. Res. Soil Water Conserv. 14(3), 1–4 (2007)MATHGoogle Scholar
  25. 25.
    Wang, X.C., Li, J., Jiang, B., Hu, W.: Simulation of yield and soil desiccation effects of continuous spring maize in different precipitation areas of the Loess Plateau. Acta Ecol. Sin. 29(4), 2053–2066 (2009)Google Scholar
  26. 26.
    Mitchell, C.C., Westerman, R.L., Brown, J.R., Peck, T.R.: Overview of long-term agronomic research. Agron. J. 83, 24–29 (1991)CrossRefGoogle Scholar
  27. 27.
    Sandor, J.A., Eash, N.S.: Significance of ancient agriculture soils for long-term agronomic studies and sustainable agriculture research. Agron. J. 83, 29–37 (1991)CrossRefGoogle Scholar
  28. 28.
    Wang, X.C., Muhammad, T.N., Hao, M.D., Li, J.: Sustainable recovery of soil desiccation in semi-humid region on the Loess Plateau. Agric. Water Manage. 98, 1262–1270 (2011)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2012

Authors and Affiliations

  • Xuechun Wang
    • 1
  • Shishun Tao
    • 1
  • Mingde Hao
    • 2
  • Wei Li
    • 3
  1. 1.School of Life Science and TechnologySouthwest University of Science and TechnologyMianyangChina
  2. 2.Institute of Soil and Water ConservationCAS & MWRYanglingChina
  3. 3.Fujian Academy of Agricultural Sciences Central Laboratory FuzhouFujianChina

Personalised recommendations