Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-19T04:39:37.140Z Has data issue: false hasContentIssue false

Temperature Effects on Vegetative Growth of Round-Leaved Mallow (Malva pusilla)

Published online by Cambridge University Press:  12 June 2017

Robert E. Blackshaw*
Affiliation:
Agriculture and Agri-Food Canada, Lethbridge, Alberta, Canada T1J 4B1

Abstract

Vegetative growth response of round-leaved mallow to various day/night temperature regimes was studied under controlled-environment conditions to predict its potential geographic distribution and to develop an effective control program. Round-leaved mallow dry matter production was greatest with day temperatures of 18 to 26 C. Dry matter accumulation was reduced by a night temperature of 6 C but was minimally affected by night temperatures ranging from 12 to 24 C. Regression analysis predicted minimal vegetative growth at mean daily temperatures below 8 C and above 30 C, with optimum growth at 20 C. Partitioning of round-leaved mallow biomass in leaves, stems, and roots was affected by temperature. Maximum leaf weight ratio occurred at low temperatures, 10 C day and 6 C night. Stem weight ratio was greatest at a day temperature of 26 C, with night temperature having little effect. Maximum root biomass occurred with a day temperature of 18 C. Results are discussed in terms of environmental conditions that allow round-leaved mallow to be an effective competitor with crops and potential approaches for its control.

Type
Weed Biology and Ecology
Copyright
Copyright © 1996 by the Weed Science Society of America 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Literature Cited

1. Anonymous. 1990. Alberta cereals and oilseeds crop protection survey. Alberta Agriculture, Food and Rural Development, 7000-113 St., Edmonton, AB. 55 pp.Google Scholar
2. Anonymous. 1994. Pages 31161 in Crop protection with chemicals. Alberta Agriculture, Food and Rural Development, 7000-113 St., Edmonton. AB.Google Scholar
3. Berkowitz, A. R. 1988. Competition for resources in weed-crop mixtures. Pages 90119 in Altieri, M. A. and Liebman, M., eds. Weed Management in Agroecosystems: Ecological Approaches. CRC Press. Inc., Boca Raton. FL.Google Scholar
4. Blackshaw, R. E. 1990. Influence of soil temperature, soil moisture, and seed burial depth on the emergence of round-leaved mallow (Malva pusilla). Weed Sci. 38: 518521.CrossRefGoogle Scholar
5. Chen, T.M., Brown, R. H., and Black, C. C. 1970. CO2 compensation concentration, rate of photosynthesis, and carbonic anhydrase activity of plants. Weed Sci. 18: 399403.CrossRefGoogle Scholar
6. Draper, N. R. and Smith, H. 1981. Pages 219220 in Applied regression analysis. Second edition. John Wiley and Sons. New York.Google Scholar
7. Friesen, L. F., Nickel, K. P., and Morrison, I. N. 1992. Round-leaved mallow (Malva pusilla) growth and interference in spring wheat (Triticum aestivum) and flax (Linum usitatissimum). Weed Sci. 40: 448454.Google Scholar
8. Joenje, W. and Kropff, M. J. 1987. Pages 971978 in Factors in crop-weed competition. Proc. Br. Crop Prot. Conf.-Weeds.Google Scholar
9. Kvet, J., Ondok, J. P. Necas, J. and Jarvis, P. G. 1971. Methods of growth analysis. Pages 343391 in Sestak, Z., Catsky, J., and Jarvis, P. G., eds. Plant Photosynthetic Production. Manual of Methods. W. Junk Publ., The Hague.Google Scholar
10. Larcher, W. 1975. Pages 4653 in Physiological plant ecology. Springer-Verlag, New York.Google Scholar
11. Makowski, R. M. D. 1987. The evaluation of Malva pusilla Sm. as a weed and its pathogen Colletotrichum gloeosporioides (Penz.) Sacc. f. sp. malvae as a bioherbicide. , Univ. Saskatchewan, Saskatoon, SK. 225 pp.Google Scholar
12. Makowski, R. M. D. and Morrison, I. N. 1989. The biology of Canadian weeds. 91. Malva pusilla Sm. (=M. rotundifolia L.). Can. J. Plant Sci. 69: 861879.Google Scholar
13. O'Donovan, J. T., de St. Remy, E. A., O'Sullivan, P. A., Dew, D., and Sharma, A. K. 1985. Influence of 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
14. Patterson, D. T. 1985. Comparative ecophysiology of weeds and crops. Pages 101129 in Duke, S. O. ed. Weed Physiology. Vol. 1. Reproduction and Ecophysiology. CRC Press, Boca Raton, FL.Google Scholar
15. SAS Institute, Inc. 1989. Pages 891896 in SAS/STAT user's guide. Version 6. Vol. 2. Fourth edition. Cary, NC.Google Scholar
16. Steel, R. D. G. and Torrie, J. H. 1980. Pages 336472 in Principles and procedures of statistics: a biometrical approach. Second edition. McGraw-Hill, New York.Google Scholar
17. Thomas, A. G. and Wise, R. F. 1987. Pages 1543 in Weed survey of Saskatchewan cereal and oilseed crops 1986. Weed Survey Ser. Publ. No. 87-1. Agric. Canada. Regina, SK.CrossRefGoogle Scholar
18. Thomas, A. G. and Wise, R. F. 1988. Pages 2268 in Weed survey of Manitoba cereal and oilseed crops 1986. Weed Survey Ser. Publ. No. 88-1. Agric. Canada. Regina, SK.Google Scholar