Hostname: page-component-cd9895bd7-hc48f Total loading time: 0 Render date: 2024-12-27T09:11:32.034Z Has data issue: false hasContentIssue false
  • English
  • Français

Broccoli (Brassica oleracea var. botrytis) Yield Loss from Italian Ryegrass (Lolium perenne) Interference

Published online by Cambridge University Press:  12 June 2017

Carl E. Bell
Carl E. Bell*
Affiliation:
Coop. Ext., Univ. Calif., Holtville, CA 92250
Get access Rights & Permissions [Opens in a new window]

Abstract

Italian ryegrass interference in broccoli was measured in field experiments and the data fit a rectangular hyperbolic competition model. The model predicted 58% of broccoli yield loss related to Italian ryegrass density when pooled over three y. An economic threshold value of 4.9 Italian ryegrass plants m−1 of crop row was determined to be the density required to cause a 3.6% yield loss, equal to postemergence weed control costs. Italian ryegrass densities of 600 to 1000 plants m1 of broccoli row caused 100% yield loss.

Keywords

Italian ryegrass, Lolium perenne L. #3 LOLPEbroccoli, Brassica oleracea L. var. botrytis LRectangular hyperbola modeleconomic thresholdeconomic optimum thresholdLOLPE
Type
Weed Control and Herbicide Technology
Information
Weed Science , Volume 43 , Issue 1 , March 1995 , pp. 117 - 120
Copyright
Copyright © 1995 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. Blackshaw, R. E. 1991. Hairy nightshade (Solarium sarrachoides) interference in dry beans (Phaseolus vulgaris). Weed Sci. 39:48–53.CrossRefGoogle Scholar
2. Bridges, D. C., Brecke, B. J., and Barbour, J. C. 1992. Wild poinsettia (Euphorbia heterophylla) interference with peanut (Arachis hypogaea). Weed Sci. 40:37–42.CrossRefGoogle Scholar
3. California Agricultural Statistics Service. 1990. California Agriculture, Annual Bulletin, Statistical Review. California Department of Food and Agriculture, Sacramento, CA. 23 p.Google Scholar
4. Conn, J. S. and Thomas, D. L. 1987. Common lambsquarters (Chenopodium album) interference in spring barley. Weed Tech. 1:312–313.CrossRefGoogle Scholar
5. Cousens, R. 1985. A simple model relating yield loss to weed density. Ann. Appl. Biol. 107:239–252.Google Scholar
6. Flint, M. L. and Clark, J. K. 1985. Integrated Pest Management for Cole Crops and Lettuce. University of California Division of Agriculture and Natural Resources, Publication 3307, Oakland, CA. 112 p.Google Scholar
7. Gomez, K. A. and Gomez, A. A. 1984. Statistical Procedures for Agricultural Research, 2nd edition. p. 372–379. John Wiley Sons, New York.Google Scholar
8. Mayberry, K. S., Bradford, K. J., and Rubatsky, V. E. 1991. Yellow cotyledon: a seedling disorder of broccoli. HortScience 26:21–23.CrossRefGoogle Scholar
9. Mayberry, K. S. and Gonzalez, R. A. 1992. Guidelines to production costs and practices; vegetable crops. Circular 104-V, Cooperative Extension, Holtville, CA. 85 p.Google Scholar
10. O'Donovan, J. T. 1991. Quackgrass (Elytrigia repens) interference in canola (Brassica campestris). Weed Sci. 39:397–401.CrossRefGoogle Scholar
11. SAS Institute Inc. 1988. SAS User's Guide: Statistics, Version 6th Edition. p. 675–712. SAS Institute Inc., Cary, NC.Google Scholar
12. Weaver, S. E., Smits, N., and Tan, C. S. 1987. Estimating yield losses of tomatoes (Lycopersicon esculentum) caused by nightshade (Solarium spp.) interference. Weed Sci. 35:163–168.Google Scholar
13. Willey, R. W. and Heath, S. B. 1969. The quantitative relationships between plant population and crop yield. Adv. Agron. 21:281–321.Google Scholar