Evaluation of Corn (Zea mays L.) Yield-loss Estimations by WeedSOFT® in the North Central Region1

Autor: Anita Dille, Ryan D. Lins, David A. Mortensen, Fred W. Roeth, Thomas T. Bauman, Andrew A. Schmidt, James J. Kells, Stevan Z. Knezevic, Christy L. Sprague, William G. Johnson, Alex Martin, Dallas E. Peterson, Corey J. Guza, Chris M. Boerboom, Case R. Medlin
Rok vydání: 2005
Předmět:
Zdroj: Weed Technology. 19:1056-1064
ISSN: 1550-2740
0890-037X
Popis: 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 yi...
Databáze: OpenAIRE