Evaluation of corn (Zea mays L.) yield-loss estimations by WeedSOFT® in the North Central Region

Andrew A. Schmidt, William G. Johnson, David Mortensen, Alex R. Martin, Anita Dille, Dallas E. Peterson, Corey Guza, James J. Kells, Ryan D. Lins, Chris M. Boerboom, Christy L. Sprague, Stevan Z. Knezevic, Fred W. Roeth, Case R. Medlin, Thomas T. Bauman

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Field studies were conducted in 2000 and 2001 to evaluate corn yield-loss predictions generated by WeedSOFT, a computerized weed management decision aid. Conventional tillage practices were used to produce corn in 76-cm rows in Illinois, Indiana, Kansas, Michigan, Missouri, Nebraska, and Wisconsin. A total of 21 site-years from these seven states were evaluated in this study. At 4 wk after planting, weed densities and size, crop-growth stage, estimated weed-free yield, and environmental conditions at the time of application were entered into WeedSOFT to generate POST treatments ranked by percent maximum yield (PMY). POST treatments were chosen with yield losses ranging from 0 to 20%. Data were subjected to linear regression analysis by state and pooled over all states to determine the relationship between actual and predicted yield loss. A slope value equal to one implies perfect agreement between actual and predicted yield loss. Slope value estimates for Illinois and Missouri were equal to one. Actual yield losses were higher than the software predicted in Kansas and lower than predicted in Michigan, Nebraska, and Wisconsin. Slope value estimate from a data set containing all site years was equal to one. This research demonstrated that variability in yield-loss predictions occurred at sites that contained a high density of a single weed specie (>100/m 2 ) regardless of its competitive index (CI); at sites with a predominant broadleaf weed with a CI greater than five, such as Palmer amaranth, giant ragweed, common sunflower, and common cocklebur; and at sites that experience moderate to severe drought stress.

Original languageEnglish (US)
Pages (from-to)1056-1064
Number of pages9
JournalWeed Technology
Volume19
Issue number4
DOIs
StatePublished - Oct 1 2005

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Zea mays
corn
weeds
Amaranthus palmeri
broadleaf weeds
prediction
decision support systems
conventional tillage
Helianthus annuus
weed control
water stress
regression analysis
developmental stages
planting
environmental factors
crops

All Science Journal Classification (ASJC) codes

  • Agronomy and Crop Science
  • Plant Science

Cite this

Schmidt, A. A., Johnson, W. G., Mortensen, D., Martin, A. R., Dille, A., Peterson, D. E., ... Bauman, T. T. (2005). Evaluation of corn (Zea mays L.) yield-loss estimations by WeedSOFT® in the North Central Region. Weed Technology, 19(4), 1056-1064. https://doi.org/10.1614/WT-03-116R.1
Schmidt, Andrew A. ; Johnson, William G. ; Mortensen, David ; Martin, Alex R. ; Dille, Anita ; Peterson, Dallas E. ; Guza, Corey ; Kells, James J. ; Lins, Ryan D. ; Boerboom, Chris M. ; Sprague, Christy L. ; Knezevic, Stevan Z. ; Roeth, Fred W. ; Medlin, Case R. ; Bauman, Thomas T. / Evaluation of corn (Zea mays L.) yield-loss estimations by WeedSOFT® in the North Central Region. In: Weed Technology. 2005 ; Vol. 19, No. 4. pp. 1056-1064.
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Schmidt, AA, Johnson, WG, Mortensen, D, Martin, AR, Dille, A, Peterson, DE, Guza, C, Kells, JJ, Lins, RD, Boerboom, CM, Sprague, CL, Knezevic, SZ, Roeth, FW, Medlin, CR & Bauman, TT 2005, 'Evaluation of corn (Zea mays L.) yield-loss estimations by WeedSOFT® in the North Central Region', Weed Technology, vol. 19, no. 4, pp. 1056-1064. https://doi.org/10.1614/WT-03-116R.1

Evaluation of corn (Zea mays L.) yield-loss estimations by WeedSOFT® in the North Central Region. / Schmidt, Andrew A.; Johnson, William G.; Mortensen, David; Martin, Alex R.; Dille, Anita; Peterson, Dallas E.; Guza, Corey; Kells, James J.; Lins, Ryan D.; Boerboom, Chris M.; Sprague, Christy L.; Knezevic, Stevan Z.; Roeth, Fred W.; Medlin, Case R.; Bauman, Thomas T.

In: Weed Technology, Vol. 19, No. 4, 01.10.2005, p. 1056-1064.

Research output: Contribution to journalArticle

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AU - Dille, Anita

AU - Peterson, Dallas E.

AU - Guza, Corey

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Schmidt AA, Johnson WG, Mortensen D, Martin AR, Dille A, Peterson DE et al. Evaluation of corn (Zea mays L.) yield-loss estimations by WeedSOFT® in the North Central Region. Weed Technology. 2005 Oct 1;19(4):1056-1064. https://doi.org/10.1614/WT-03-116R.1