Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Irrigation for crops in a sub-humid environment

III. An irrigation scheduling model for predicting soybean water use and crop yield

  • 34 Accesses

  • 10 Citations

Summary

A soil water use model was linked with a model of soybean growth and yield to simulate soybean production in an area of New South Wales, Australia. The model was developed and tested against results from a 3-year soybean irrigation experiment. Good agreement was obtained between measured and predicted water use and yield for two soybean cultivars (Ruse and Bragg). In the test region summer rainfall averages 300 mm but is highly variable. Therefore the model was used to simulate soybean production using 25 years of historic rainfall data to examine the amount of irrigation water necessary to produce high yields while using both irrigation water and rainfall efficiently. It was found that to obtain high yields for the 25 years, an average of 4.7 crop irrigations were required, using 4.04 X 103 m3 ha−1 of irrigation water. Because of variations in rainfall the number of crop irrigations varied between years from 2 to 6 and the amount of irrigation water required to supplement natural rainfall varied from 1.63 to 5.14 X 103 m3 ha−1.

This is a preview of subscription content, log in to check access.

References

  1. Browne RL, Mengerson AG (1979) Current irrigation practice and approaches taken to improve irrigation efficiency in the lower Namoi Valley. Presented at the International Commission on Irrigation and Drainage Seminar, Sydney, Australia May 15–17

  2. Burch GJ, Smith RCG, Mason WK (1978) Agronomic and physiological responses of soybean and sorghum crops to water deficits. 11. Crop evaporation, soil water depletion and root distribution. Aust J Plant Physiol 5:169

  3. Constable GA (1977) The effect of planting date on soybeans in Namoi Valley, N.S.W. Aust J Exp Agric Anim Husb 17:148

  4. Constable GA, Hearn AB (1978) Agronomic and physiological responses of soybean and sorghum crops to water deficits. l. Growth, development and yield. Aust J Plant Physiol 5:159

  5. Constable GA, Hearn AB (1980) Irrigation for crops in a sub-humid environment. I. Growth and yield of soybeans. Irrig Sci 2:l

  6. Egli DB, Leggett JE (1976) Rate of dry mater accumulation in soybean seeds with varying source-sink ratios. Agron J 68:371

  7. Hanks RJ (1974) Model for predicting plant yield as influenced by water use. Agron J 66:660

  8. Hanway JJ, and Weber CR (1971) Dry matter accumulation in eight soybean (Glycine max (L.) Merrill) varieties. Agron J 63:227

  9. Hiler EA, Howell TA, Bordovsky DG (1971) Stress day index... a new concept for irrigation timing. Presented at A.S.C.E. Speciality Conference, Optimization of Irrigation and Drainage Systems, Lincoln, Nebraska

  10. Jensen ME (1978) Irrigation water management for the next decade. N.Z. Irrigation Conference Ashburton, April 11–13

  11. Jensen ME, Robb DCN, Franzoy CE (1970) Scheduling irrigations using climate-crop-soil data. ASCE J brig Drain Div 96:25

  12. Jensen ME, Wright JL, Pratt BJ (1971) Estimating soil moisture depletion from climate, crop and soil data. Trans ASAE 14:954

  13. Mason WK (1979) The irrigation scheduling of soybeans. PhD Thesis, University of New England, Armidale, Australia

  14. Mason WK, Constable GA, Smith RCG (1980) Irrigation for crops in a sub-humid environment. II. Water requirements of soybeans. Irrig Sci 2:13

  15. Mason WK, Smith RCG (1981) Irrigation for crops in a sub-humid environment. IV. Analysis of current irrigation practice of soybeans and the potential for improved efficiency. Irrig Sci 2:103

  16. Mauney JR, Fry KE, Guinn G (1978) Relationship of photosynthetic rate to growth and fruiting of cotton, soybean, sorghum, and sunflower. Crop Sci 18:259

  17. Philip JR (1957) Evaporation and moisture and heat fields in the soil. J Meteorol 14:354

  18. Priestley LHB, Taylor RJ (1972) On the assessment of surface heat flux and evaporation using large-scale parameters. Mon Weather Rev 100:81

  19. Ritchie JT (1971) Dryland evaporative flux in a subhumid climate. I. Micrometeorological influences. Agron J 63:51

  20. Ritchie JT (1972) Model for predicting evaporation from a row crop with incomplete cover. Water Resour Res 8:1204

  21. Ritchie JT (1974a) Atmospheric and soil water influences on the plant water balance. Agric Meteorol 14:183

  22. Ritchie JT (1974b) Evaluating irrigation needs for Southeastern U.S.A. Speciality Conference on Contribution of Irrigation and Drainage to World Food Supply, p 262–279

  23. Ritchie JT, Burnett E (1971) Dryland evaporative flux in a subhumid climate: II. Plant influences. Agron J 63:56

  24. Ritchie JT, Burnett E, Henderson RC (1972) Dryland evaporative flux in a subhumid climate: III. Soil water influences. Agron J 64:168

  25. Ritchie JT, Jordan WR (1972) Dryland evaporative flux in a subhumid climate: IV. Relation to plant water stress. Agron J 64:173

  26. Ross R (1978) Computers aid San Joaquin irrigators. Irrigation Age, October 1978, 31–33

  27. Salter PJ, Goode JE (1967) Crop response to water at different stages of growth. Commonwealth Agr. Bur., Farnham Royal

  28. Shibles R, Anderson IC, Gibson AH (1975) Soybean. In: Evans LT (ed) Crop physiology, Cambridge University Press, Cambridge, p 151–189

  29. Shibles RM, Weber CR (1965) Leaf area, solar radiation interception and dry matter production by soybeans. Crop Sci 5:575

  30. Shibles RM, Weber CR (1966) Interception of solar radiation and dry matter production by various soybean planting patterns. Crop Sci 6:55

Download references

Author information

Correspondence to R. C. G. Smith.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Mason, W.K., Smith, R.C.G. Irrigation for crops in a sub-humid environment. Irrig Sci 2, 89–101 (1981). https://doi.org/10.1007/BF00270752

Download citation

Keywords

  • Soil Water
  • Water Pollution
  • Irrigation Water
  • Rainfall Data
  • Rainfall Average