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Nonlinear Regressions for Analyzing Growth Stage and Quinclorac Interactions

Published online by Cambridge University Press:  12 June 2017

William J. Chism ,
Jeffrey B. Birch  and
S. Wayne Bingham
William J. Chism
Affiliation:
Dep. Plant Path., Physiol. Weed Sci., Va. Polytech. Inst. State Univ., Blacksburg, VA 24061
Jeffrey B. Birch
Affiliation:
Dep. Stat., Va. Polytech. Inst. State Univ., Blacksburg, VA 24061
S. Wayne Bingham
Affiliation:
Dep. Plant Path., Physiol. Weed Sci., Va. Polytech. Inst. State Univ., Blacksburg, VA 24061
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Abstract

Control of southern crabgrass by quinclorac was influenced by plant growth stage. A three-parameter nonlinear regression was used to describe the influence of quinclorac concentration on each growth stage and to compare growth stages. A SAS® program for these comparisons is described. Pseudo R2 values for fit were above 0.98 for all tests. Flowering crabgrass plants had the highest GR50 value (50% growth reduction on a dry weight basis) whereas preemergence, three- to five-true-leaf, and two- to four-tiller stages were lower.

Keywords

Quinclorac, 3,7-dichloro-8-quinolinecarboxylic acidsouthern crabgrass, Digitaria ciliaris (Retz.) Koel. # DIGSPCrabgrass controlphysiological factorsherbicideBAS 514 HBAS 090 S
Type
Research
Information
Weed Technology , Volume 6 , Issue 4 , December 1992 , pp. 898 - 903
Copyright
Copyright © 1990 by the Weed Science Society of America 

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References

Literature Cited

1. Anmadi, M. S., Haderlie, L. C., and Wicks, G. A. 1980. Effect of growth stage and water stress on barnyardgrass control and on glyphosate absorption and translocation. Weed Sci. 28:277–282.Google Scholar
2. Berghaus, R. and Retzlaff, G. 1989. Quinmerac–studies to investigate selectivity in wheat. Proc. Br. Crop Prot. Conf.–Weeds 2:449–454.Google Scholar
3. Berghaus, R. and Wuerzer, B. 1987. The mode of action of the new experimental herbicide quinclorac (BAS 514 H). Proc. 11th Asian Pacific Weed Sci. Soc. Conf. 1:81–87.Google Scholar
4. Brain, P. and Cousens, R. 1989. An equation to describe dose responses where there is stimulation of growth at low doses. Weed Res. 29:93–96.CrossRefGoogle Scholar
5. Chism, W. J. and Bingham, S. W. 1991. Postemergence control of large crabgrass (Digitaria sanguinalis) with herbicides. Weed Sci. 39:62–66.Google Scholar
6. Johnson, B. J. and Murphy, T. R. 1989. Summer annual weed control in turfgrass. Ga. Agric. Res. Bull. No. 388, Ga. Agric Exp. Stations, Athens, GA.Google Scholar
7. Kells, J. J., Meggitt, W. F., and Penner, D. 1984. Absorption, translocation, and activity of fluazifop-butyl as influenced by plant growth stage and environment. Weed Sci. 32:143–149.Google Scholar
8. Mench, B. H., Rosebrock, H., Unglaub, W., and Kibler, E. 1985. BAS 514.H–Quinclorac field experience to control Echinochloa crus-galli in rice. Proc. 10th Asian Pacific Weed Sci. Soc. Conf. 1:107–113.Google Scholar
9. Myers, R. H. 1990. Classical and Modern Regression with Applications, Second Edition. PWS-Kent Publ. Co. Boston, Mass. p. 135–140.Google Scholar
10. Snedecor, G. W. and Cochran, W. G. 1980. Statistical Methods, Seventh Ed. Iowa State Univ. Press, Ames, Ia. p. 98–99.Google Scholar
11. Streibig, J. C. 1980. Models for curve-fitting herbicide dose response data. Acta Agric. Scand. 30:59–64.CrossRefGoogle Scholar
12. Streibig, J. C. 1988. Herbicide bioassay. Weed Res. 28:479–484.Google Scholar