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Tolerance of canola to drought and salinity stresses in terms of root water uptake model parameters Cover

Tolerance of canola to drought and salinity stresses in terms of root water uptake model parameters

Journal of Hydrology and Hydromechanics
Volume 61 (2013): Issue 1 (March 2013)
By:  and    
Open Access
|Mar 2013
References

References

  1. Ahmadi, S., Ardekani, J., 2006. The effect of water salinity on growth and physiological stages of eight Canola () cultivars. Irrigation Science, 25, 1, 11-20.
    Open DOISearch in Google Scholar
  2. Ashraf, M., McNeilly, T., 1990. Responses of fourspecies to sodium chloride. Environmental and Experimental Botany, 30, 4, 475-487.
    Open DOISearch in Google Scholar
  3. Ayers, R.S., Westcot, D.W., 1985. Water Quality for Agriculture. Food and Agriculture Organization of the United Nations, Rome.
    Search in Google Scholar
  4. Feddes, R.A., Kowalic, P.J., Zaradny, H., 1978. Simulation of Field Water Use and Crop Yield. John Wiley & Sons, New York.
    Search in Google Scholar
  5. Feddes, R.A., Raats, P.A.C., 2004. Parameterizing the soilwater- plant root system. In: Feddes, R.A., et al. (Eds.), Unsaturated- zone modeling: Progress, challenges and applications. Wageningen UR Frontis Series. Kluwer Academic Publishers, Dordrecht, The Netherlands, 95-141.
    Search in Google Scholar
  6. Francois, L.E., 1994. Growth, seed yield, and oil content of canola grown under saline conditions. Agronomy Journal, 86, 2, 233-237.
    Open DOISearch in Google Scholar
  7. Fujimaki, H., Kikuchi, N., 2010. Drought and salinity tolerances of young Jatropha. International Agrophysics, 24, 2, 121- -127.
    Search in Google Scholar
  8. Homaee, M., Feddes, R.A., Dirksen, C., 2002. A Macroscopic Water Extraction Model for Nonuniform Transient Salinity and Water Stress. Soil Science Society of America Journal, 66, 6, 1764-1772.
    Open DOISearch in Google Scholar
  9. Huang, J., Redmann, R., 1995. Physiological responses of canola and weld mustard to salinity and contrasting calcium supply. Journal of Plant Nutrition, 18, 9, 1931-1949.
    Open DOISearch in Google Scholar
  10. Huzsvai, L., Rajkai K., 2009. Modeling of plant adaptation to climatic drought induced water deficit. Biologia, 64, 536- -540.
    Open DOISearch in Google Scholar
  11. Johnson, B., McKay, K., Schneiter, A., Hanson, B., Schatz, B., 1995. Influence of planting date on canola and crambe production. Journal of Production Agriculture, 8, 4, 594-598.
    Open DOISearch in Google Scholar
  12. Kool, J., Parker, J., 1987. Development and evaluation of closed-form expressions for hysteretic soil hydraulic properties. Water Resources Research, 23, 1, 105-114.
    Open DOISearch in Google Scholar
  13. Marquardt, D.W., 1963. An algorithm for least-squares estimation of nonlinear parameters. Journal of the Society for Industrial and Applied Mathematics, 11, 2, 431-441.
    Open DOISearch in Google Scholar
  14. Newman, E., 1966. A method of estimating the total length of root in a sample. Journal of Applied Ecology, 139-145.
    Open DOISearch in Google Scholar
  15. Nielsen, D.C., 1997. Water use and yield of canola under dryland. J. Prod. Agric, 10, 2, 213.
    Open DOISearch in Google Scholar
  16. Nimah, M., Hanks, R., 1973. Model for estimating soil water, plant, and atmospheric interrelations: I. Description and sensitivity. Soil Science Society of America Journal, 37, 4, 522-527.
    Open DOISearch in Google Scholar
  17. Noborio, K., 2003. Practical application of time domain reflectometry: Simultaneous measurement of water and salt contents in soil. J. Jpn. Soc. Soil Phys., 93, 57-65.
    Search in Google Scholar
  18. Redmann, R., Qi, M., Belyk, M., 1994. Growth of transgenic and standard canola (L) varieties in response to soil salinity. Canadian Journal of Plant Science, 74, 4, 797-799.
    Open DOISearch in Google Scholar
  19. Rhoades, J.D., Chanduvi, F., Lesch, S.M., 1999. Soil Salinity Assesment: Methods and Interpretation of Electrical Conductivity Measurements. FAO Irrigation and Drainage Paper 57. Food and Agriculture Organization of the United Nations, Rome, 1-150.
    Search in Google Scholar
  20. Šimůnek, J., Genuchten, M.T.v., Šejna., M., 2006. The HYDRUS software package for simulating the two- and threedimensional movement of water, heat, and multiple solutes in variably-saturated media. PC Progress, Prague, Czech Republic.
    Search in Google Scholar
  21. Twarakavi, N.K.C., Saito, H., Šimůnek, J., van Genuchten, M.T., 2010. Inverse modeling of vadose zone flow processes using squared ε-insensitivity loss function. J. Hydrol. Hydromech., 58, 3, 188-200.
    Open DOISearch in Google Scholar
  22. Van Dam, J.C. et al., 1997. Theory of SWAP, version 2.0: Simulation of water flow, solute transport and plant growth in the soil-water-atmosphere-plant environment. Rep. no. 71, pp. Dep. of Water Resour., Wageningen Agricultural Univ., Wageningen, The Netherlands.
    Search in Google Scholar
  23. Van Genuchten, M.T., 1987. A numerical model for water and solute movement in and below the root zone. U.S. Salinity Laboratory. USDA- ARS, Riverside, CA.
    Search in Google Scholar
DOI: https://doi.org/10.2478/johh-2013-0009 | Journal eISSN: 1338-4333 (formerly 0042-790X) | Journal ISSN: 0042-790X
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Language: English
Page range: 73 - 80
Published on: Mar 15, 2013
Published by: Slovak Academy of Sciences, Institute of Hydrology
In partnership with: Paradigm Publishing Services
Keywords:
Irrigation with saline water,
Biofuel crops,
Electrical conductivity,
Feddes’s model
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2013 Aki Yanagawa, Haruyuki Fujimaki, published by Slovak Academy of Sciences, Institute of Hydrology
This work is licensed under the Creative Commons License.

Volume 61 (2013): Issue 1 (March 2013)
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