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Simple water-balance models for simulating moisture, salinity and sodicity profiles in soils under wheat

Published online by Cambridge University Press:  27 March 2009

R. Pal ,
A. K. Kapoor ,
S. R. Poonia  and
M. Raj
R. Pal
Affiliation:
Department of Soils, Haryana Agricultural University, Hisar 125004, India
A. K. Kapoor
Affiliation:
Department of Soils, Haryana Agricultural University, Hisar 125004, India
S. R. Poonia
Affiliation:
Department of Soils, Haryana Agricultural University, Hisar 125004, India
M. Raj
Affiliation:
Department of Soils, Haryana Agricultural University, Hisar 125004, India
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Summary

Experiments were conducted in wheat planted in microplots at Hisar and Sirsa in Haryana state, India, to observe and simulate the depth distribution of moisture content, electrical conductivity in 1:2 soil-water extract (EC 1:2), and exchangeable sodium percentage (ESP) of soils after irrigation with water of high electrical conductivity (12–19 dS/m) and sodium adsorption ratio (20–80 (mmol/1)0·5). The three simulation models used differed in the procedure of estimation of evapotranspiration (models I and II, Reddy 1983; model III, Arora et al. 1987). In general, the means of the experimental moisture content profiles decreased and those of EC 1:2 and ESP increased with irrigation at both locations. Statistical analysis showed an overall good agreement between the experimental and simulated values of moisture content, EC 1:2 and ESP; the accuracy of simulation of the models followed the order model II = model III > model I, for moisture content and EC 1:2, but was identical for ESP.

Type
Crops and Soils
Information
The Journal of Agricultural Science , Volume 115 , Issue 2 , October 1990 , pp. 163 - 172
Copyright
Copyright © Cambridge University Press 1990

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References

REFERENCES

Arora, V. K. (1984). Modelling water use and yield of wheat from incidents of soil wetting. PhD thesis, Punjab Agricultural University, Ludhiana, India.Google Scholar
Arora, V. K., Prihar, S. S. & Gajri, P. R. (1987). Synthesis of a simplified water use simulation model for predicting wheat yields. Water Resources Research 23, 903–910.CrossRefGoogle Scholar
Burns, I. G. (1974). A model for predicting redistribution of salts applied to fallow soil after excess of rainfall or evaporation. Journal of Soil Science 25, 165–178.CrossRefGoogle Scholar
Evangelou, V. P. & Coale, F. J. (1987). The dependence of the Gapon coefficient on exchangeable sodium for mineralogically different soils. Soil Science Society of America Journal 51, 68–72.CrossRefGoogle Scholar
Kapoor, A. & Pal, R. (1986).Predicting salinization and sodification of bare sandy loam soil after irrigation with poor quality water interspersed with rain. Soil Science 141, 281–288.CrossRefGoogle Scholar
Poonia, S. R., Mehta, S. C. & Pal, R. (1984). The effects of electrolyte concentrations on calcium-sodium exchange equilibria in two soil samples of India. Geoderma 32, 63–70.CrossRefGoogle Scholar
Poonia, S. R. & Pal, R. (1979). Sodification of soils in relation to sodium activity ratios and Ca:Mg in soil solutions. Journal of the Indian Society of Soil Science 27, 116–122.Google Scholar
Reddy, S. J. (1983). A simple method of estimating the soil water balance. Agricultural Meteorology 12, 391–406.Google Scholar
Richards, L. A. (ed.) (1954). Diagnosis and improvement of saline and alkali soils. United States Department of Agriculture Handbook 60.CrossRefGoogle Scholar