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A Model for Predicting Large Crabgrass (Digitaria sanguinalis) Emergence as Influenced by Temperature and Water Potential

Published online by Cambridge University Press:  12 June 2017

Charles A. King  and
Lawrence R. Oliver
Charles A. King
Affiliation:
Dep. of Agron., Univ. Arkansas, Fayetteville, AR 72701
Lawrence R. Oliver
Affiliation:
Dep. of Agron., Univ. Arkansas, Fayetteville, AR 72701
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Abstract

Experiments were conducted to evaluate the influence of temperature and water potential on water uptake, germination, and emergence of large crabgrass in order to predict emergence in the field. Water uptake of seed soaked in polyethylene glycol solutions of 0 to −1400 kPa underwent an initial imbibition phase followed by a lag phase and subsequent increase in water content when radicles emerged from the seed. Maximum germination at 15 C was 12% at 0 kPa and 60% at 25 C at 0 to −200 kPa osmotic potential. In the growth chamber, large crabgrass emergence from soil began 2 to 3 d after planting at 30 or 35 C and within 9 to 10 d at 15 C. Maximum emergence of 77 % occurred at 25 C and at a soil water potential of −30 kPa. Emergence percentage decreased as water potential decreased or as temperature increased or decreased. A logistic equation described emergence of large crabgrass at each combination of temperature and soil water potential at which emergence occurred, and a predictive model was developed and validated by field data. In the field, there was little or no emergence at soil temperatures below 15 C or water potentials below −50 to −60 kPa. The model predicted the time of onset of large crabgrass emergence and the time to reach maximum emergence to within 2 to 4 d of that recorded in field experiments. The model also predicted the correct number of flushes of emergence occurring in the field in three of four experiments.

Keywords

Large crabgrass, Digitaria sanguinalis (L.) Scop. # DIGSAEmergence modelimbibitionpolyethylene glycolrainfall
Type
Weed Biology and Ecology
Information
Weed Science , Volume 42 , Issue 4 , December 1994 , pp. 561 - 567
Copyright
Copyright © 1994 by the Weed Science Society of America 

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References

Literature Cited

1. Alm, D. A., Stoller, E. W., and Wax, L. M. 1993. An index model for predicting seed germination and emergence rates. Weed Technol. 7:560–569.CrossRefGoogle Scholar
2. Bahler, C., Hill, R. R. Jr., and Byers, R. A. 1989. Comparison of logistic and Weibull functions: The effect of temperature on cumulative germination of alfalfa. Crop Sci. 29:142–146.CrossRefGoogle Scholar
3. Bewley, J. D. and Black, M. 1985. Pages 115–118 in Seeds: Physiology of development and germination. Plenum Press, New York.CrossRefGoogle Scholar
4. Biswas, P. K., Bell, P. D., Crayton, J. L., and Paul, K. B. 1975. Germination behavior of Florida pusley seeds. I. Effect of storage, light, temperature, and planting depth on germination. Weed Sci. 23:400–403.CrossRefGoogle Scholar
5. Blacklow, W. M. 1972. A mathematical model to predict germination and field emergence of maize (Zea mays L.) in an environment of changing temperatures. Pages 533–540 in Heydecker, W., ed. Seed Ecology. The Pennsylvania State Univ. Press, University Park, PA.Google Scholar
6. Bridges, D. C., Wu, H., Sharpe, P. J. H., and Chandler, J. M. 1989. Modeling distributions of crop and weed seed germination time. Weed Sci. 37:724–729.CrossRefGoogle Scholar
7. Dawson, J. H. and Bruns, V. F. 1962. Emergence of barnyardgrass, green foxtail, and yellow foxtail seedlings from various soil depths. Weeds 10:136–139.CrossRefGoogle Scholar
8. Ellern, S. J. and Tadmor, N. H. 1967. Germination of range plant seeds at alternating temperatures. J. Range Manage. 20:72–77.CrossRefGoogle Scholar
9. Forcella, F. 1993. Seedling emergence model for velvetleaf. Agron. J. 85:929–933.CrossRefGoogle Scholar
10. Gulliver, R. L. and Heydecker, W. 1973. Establishment of seedlings in a changeable environment. Pages 433–462 in Heydecker, W., ed. Seed Ecology. The Pennsylvania State Univ. Press, University Park, PA.Google Scholar
11. Hadas, A. 1970. Factors affecting seed germination under soil moisture stress. Isr. J. Agric. Res. 20:3–14.Google Scholar
12. Holm, L., Pancho, J. V., Gerberger, J. P., and Plucknett, D. L. 1979. A Geographical Atlas of World Weeds. John Wiley and Sons, New York.Google Scholar
13. Hsu, F. H., Nelson, C. J., and Chow, W. S. 1984. A mathematical model to utilize the logistic function in germination and seedling growth. J. Exp. Bot. 35:1629–1640.CrossRefGoogle Scholar
14. Hunter, J. R. and Erickson, A. E. 1952. Relation of seed germination to soil moisture tension. Agron. J. 44:107–109.CrossRefGoogle Scholar
15. Kaufmann, M. R. and Ross, K. J. 1970. Water potential, temperature, and kinetin effects on seed germination in soil and solute systems. Amer. J. Bot. 57:413–419.CrossRefGoogle Scholar
16. Lafond, G. P. and Fowler, D. B. 1989. Soil temperature and moisture effects on kernel water uptake and germination of winter wheat. Agron. J. 81:447–450.CrossRefGoogle Scholar
17. Livingston, N. J. and de Jong, E. 1990. Matric and osmotic potential effects on seedling emergence at different temperatures. Agron. J. 82:995–998.CrossRefGoogle Scholar
18. McElgunn, J. D. 1973. Germination response of forage legumes to constant and alternating temperatures. Can. J. Plant Sci. 53:797–800.CrossRefGoogle Scholar
19. McWilliams, J. R. and Phillips, P. J. 1971. Effect of osmotic and matric potentials on the availability of water for seed germination. Aust. J. Biol. Sci. 24:423–431.CrossRefGoogle Scholar
20. McGinnies, W. J. 1960. Effects of moisture stress and temperature on germination of six range grasses. Agron. J. 52:159–162.CrossRefGoogle Scholar
21. Michel, B. E. 1983. Evaluation of the water potentials of solutions of polyethylene glycol 8000 both in the absence and presence of other solutes. Plant Physiol. 72:66–70.CrossRefGoogle ScholarPubMed
22. Murphy, T. R. and Gossett, B. J. 1981. Influence of shading by soybeans (Glycine max) on weed suppression. Weed Sci. 29:610–615.CrossRefGoogle Scholar
23. Schimpf, D. J., Flint, S. D., and Palmblad, I. G. 1977. Representation of germination curves with the logistic function. Ann. Bot. 41:1357–1360.CrossRefGoogle Scholar
24. Scott, S. J., Jones, R. A., and Williams, W. A. 1984. Review of data analysis methods for seed germination. Crop Sci. 24:1192–1199.CrossRefGoogle Scholar
25. Sharma, M. L. 1976. Interaction of water potential and temperature on germination of three semiarid plant species. Agron. J. 68:390–394.CrossRefGoogle Scholar
26. Simpson, G. M. 1990. Page 34 in Seed Dormancy in Grasses. Cambridge Univ. Press, Cambridge.CrossRefGoogle Scholar
27. Toole, E. H. and Toole, V. K. 1941. Progress of germination of seed of Digitaria as influenced by germination temperature and other factors. J. Agric. Res. 63:65–90.Google Scholar
28. Williams, J. and Shaykewich, C. F. 1971. Influence of soil water matric potential and hydraulic conductivity on the germination of rape. J. Exp. Bot. 22:586–597.CrossRefGoogle Scholar