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The competitive ability of wheat (Triticum aestivum) compared to rigid ryegrass (Lolium rigidum) and cowcockle (Vaccaria hispanica)

Published online by Cambridge University Press:  12 June 2017

Robert L. Zimdahl
Affiliation:
Weed Research Laboratory, Department of Bioagricultural Sciences and Pest Management, Colorado State University, Ft. Collins, CO 80523
Philip Westra
Affiliation:
Weed Research Laboratory, Department of Bioagricultural Sciences and Pest Management, Colorado State University, Ft. Collins, CO 80523

Abstract

Greenhouse and field experiments were conducted to study competition between wheat and rigid ryegrass or between wheat and cowcockle using additive series and growth analysis. Wheat was the dominant competitor with either weed. One wheat plant was as competitive as 1 1 or 19 rigid ryegrass plants in greenhouse and field experiments, respectively. One wheat plant was as competitive as three to 24 cowcockle plants, depending on environmental conditions. Dry weight of roots, leaves, stems, and spikes or capsules responded similarly to the effects of competition between wheat and rigid ryegrass or cowcockle. Shoot dry weight was the easiest, fastest, and least expensive component to measure competition. Growth analyses of individual plants showed that wheat had a greater leaf area, shoot and root dry weight, and absolute growth rate than rigid ryegrass or cowcockle, particularly early in the season. A range of 120 to 240 wheat plants m−2 can minimize rigid ryegrass or cowcockle competition and achieve an acceptable grain yield in semiarid areas in Morocco.

Type
Weed Biology and Ecology
Copyright
Copyright © 1997 by the Weed Science Society of America 

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Footnotes

Corresponding address: Institut National de la Recherche Agronomique, BP 589, Settat, Morocco.

References

Literature Cited

Alex, J. F. 1970. Competition of Saponaria vaccaria and Sinapis arvensis in wheat. Can. J. Plant Sci. 50: 379388.Google Scholar
Christoffoleti, P. J. 1993. Growth, competitive ability, and fitness of sulfonylurea resistant and susceptible Kochia scoparia. , Colorado State University, Fort Collins, CO. 198 p.Google Scholar
Concannon, J. and Radosevich, S. R. 1987. Effects of density and proportion on spring wheat and Italian ryegrass (Lolium multiflorum). Proc. West. Soc. Weed Sci. 40: 82.Google Scholar
Cousens, R. 1991. Aspects of the design and interpretation of competition (interference) experiments. Weed Technol. 5: 664673.Google Scholar
Donald, W. W. and Eastin, E. F. 1995. Weed management systems for grain crops. in Smith, A. E., ed. Handbook of Weed Management Systems. New York: Marcel Dekker, pp. 401476.Google Scholar
Dunan, C. and Zimdahl, R. L. 1991. Competitive ability of wild oats (Avena fatua) and barley (Hordeum vulgare). Weed Sci. 39: 558563.Google Scholar
Evans, R. M., Thill, D. C., Tapia, L., Shafii, B., and Lish, J. M. 1991. Wild oat (Avena fatua) and spring barley (Hordeum vulgare) density affect spring barley grain yield. Weed Technol. 5: 3339.Google Scholar
Garrett, K. A., McSay, A. E., and Moore, F. D. III. 1989. RF, a Computer Program to Fit a Generalization of the Logistic Function using D. R. Causton and J. C. Venus' Methods. For Collins, CO: Technical Bulletin TB 89-4, Colorado State University. 76 p.Google Scholar
Gomez, K. A. and Gomez, A. A. 1984. Analysis of data from a series of experiments. in Statistical Procedures for Agricultural Research. 2nd ed. Singapore: J. Wiley, pp. 316356.Google Scholar
Harrison, S. K. and Beuerlein, J. E. 1989. Effect of herbicide mixtures and seeding rate on soft red winter wheat (Triticum aestivum) yield. Weed Technol. 3: 505508.Google Scholar
Holm, L., Pancho, J. V., Herberger, J. P., and Plucknett, D. L. 1979. In A Geographical Atlas of World Weeds. New York: J. Wiley, pp. 219, 321.Google Scholar
Kolp, B. J., Sackett, R. G., Bohnenblust, K. E., and Roehrkasse, G. P. 1973. Effect of rate and date of seeding Shonoshi winter wheat on soil moisture depletion. Agron. J. 65: 929930.Google Scholar
Kropff, M. J., Weaver, S. E., and Smiths, M. A. 1992. Use of ecophysiological models for weed-crop interference: relations amongst weed density, relative time of emergence, relative leaf area, and yield loss. Weed Sci. 40: 296301.Google Scholar
Lemerle, D., Michael, P. W., and Sutton, B. G. 1979. The competitive abilities of wheat and triticale against different densities of Lolium rigidum. Proceedings of the 7th Asian Pacific Weed Science Society Conference. Sydney, Australia, pp. 447450.Google Scholar
Lemerle, D., Verbeek, B., and Coombes, N. 1995. Losses in grain yield of winter crops from Lolium rigidum competition depend on crop species, cultivar and season. Weed Res. 35: 503509.Google Scholar
Medd, R. W., Auld, B. A., and Kemp, D. R. 1981. Competitive interactions between wheat and ryegrass. Proc. Austr. Weed Conf. 6: 3943.Google Scholar
Medd, R. W., Auld, B. A., Kemp, D. R., and Murison, R. D. 1985. The influence of wheat density and spatial arrangement on annual ryegrass, Lolium rigidum Gaudin, competition. Austr. J. Agric. Res. 36: 361371.Google Scholar
O'Donovan, J. T., de St Remy, E. A., O'Sullivan, P. A., Dew, D. A., and Sharman, A. K. 1985. Influence of the relative time of emergence of wild oat (Avena fatua) on yield loss of barley (Hordeum vulgare) and wheat (Triticum aestivum). Weed Sci. 33: 498503.Google Scholar
Pantone, D. J. and Baker, J. B. 1991. Reciprocal yield analysis of red rice (Oryza sativa) competition in cultivated rice. Weed Sci. 39: 4247.CrossRefGoogle Scholar
Pantone, D. J., Williams, W. A., and Maggenti, A. R. 1989. An alternative approach for evaluating the efficacy of potential biocontrol agents of weeds. 1. Inverse linear model. Weed Sci. 37: 771777.CrossRefGoogle Scholar
Patterson, D. T. 1985. Comparative ecophysiology of weeds and crops. in Duke, S. O., ed. Reproduction and Ecophysiology. Weed Physiology. Volume I. Boca Raton, FL: CRC Press, pp. 101129.Google Scholar
Radosevich, S. R. 1987. Methods to study interactions among crops and weeds. Weed Technol. 1: 190198.Google Scholar
Radosevich, S. R. and Holt, J. 1984. Weed Ecology: Implications for Vegetation Management. New York: J. Wiley, pp. 93193.Google Scholar
Rahali, J. 1982. Contribution à Ǐn étude de la compétition entre un blé tendre et deux espèces adventices (Vaccaria pyramidata Medik. et Sinapis arvensis). Mémoire de fin ď'études. Morocco: Ecole Nationale ď'Agriculture de Meknès. 45 p.Google Scholar
Reeves, T. G. 1976. Effect of annual ryegrass (Lolium rigidum Gaud.) on yield of wheat. Weed Res. 16: 5763.Google Scholar
Rejmanek, M., Robinson, G. R., and Rejmankova, E. 1989. Weed-crop competition: experimental designs and models for data analysis. Weed Sci. 37: 276284.Google Scholar
Rerkasem, K., Stern, W. R., and Goodchild, N. A. 1980. Associated growth of wheat and annual ryegrass. I. Effect of varying total density and proportion in mixtures of wheat and annual ryegrass. Austr. J. Agric. Res. 31: 649658.Google Scholar
Richards, F. J. 1959. A flexible growth function for empirical use. J. Exp. Bot. 10: 290300.Google Scholar
Roush, M. L. and Radosevich, S. R. 1985. Relationship between growth and competitiveness of four annual weeds. J. Appl. Ecol. 22: 895905.Google Scholar
Smith, D. F. and Levick, G.R.T. 1974. The effect of infestation by Lolium rigidum Gaud. (annual ryegrass) on the yield of wheat. Aust. J. Agric. Res. 25: 381391.Google Scholar
Soltanpour, P. N., El Gharous, M., Azzaoui, A., and Abdel Monem, M. 1989. Soil test based N recommendation model for dryland wheat. Comm. Soil Sci. Plant Anal. 20: 10531068.Google Scholar
Spitters, C.J.T. 1983. An alternative approach to the analysis of mixed cropping experiments. I. Estimation of competition effects. Netherl. J. Agric. Sci. 31: 111.Google Scholar
Spitters, C.J.T., Kropff, M. J., and de Groot, W. 1989. Competition between maize and Echinochloa crusgalli analyzed by a hyperbolic regression model. Ann. Appl. Biol. 115: 541551.Google Scholar
Thompson, C. R., Thill, D. C., and Shafii, B. 1994. Growth and competitiveness of sulfonylurea-resistant and -susceptible kochia (Kochia scoparia). Weed Sci. 42: 172179.Google Scholar
Wright, A. J. 1981. The analysis of yield-density relationships in binary mixtures using inverse polynomials. J. Agric. Sci. (Camb.) 96: 561567.Google Scholar
Zadoks, J. C., Chang, T. T., and Konzak, C. F. 1974. A decimal code for the growth stages of cereals. Weed Res. 14: 415421.Google Scholar