Document Type
Article
Publication Date
3-2014
Abstract
Predictions of weed emergence can be used by practitioners to schedule POST weed management operations. Common sunflower seed from Kansas was used at six Midwestern U.S. sites to examine the variability that 16 climates had on common sunflower emergence. Nonlinear mixed effects models, using a flexible sigmoidal Weibull function that included thermal time, hydrothermal time, and a modified hydrothermal time (with accumulation starting from January 1 of each year), were developed to describe the emergence data. An iterative method was used to select an optimal base temperature (Tb) and base and ceiling soil matric potentials (ψb and ψc) that resulted in a best-fit regional model. The most parsimonious model, based on Akaike's information criterion (AIC), resulted when Tb = 4.4 C, and ψb = −20000 kPa. Deviations among model fits for individual site years indicated a negative relationship (r = −0.75; P < 0.001) between the duration of seedling emergence and growing degree days (Tb = 10 C) from October (fall planting) to March. Thus, seeds exposed to warmer conditions from fall burial to spring emergence had longer emergence periods.
Publication Title
Weed Science
Volume
62
Issue
1
First Page
63
Last Page
70
DOI of Published Version
10.1614/WS-D-13-00078.1
Publisher
Cambridge University Press
Rights
A work produced within the official duties of an employee of the United States Government are not subject to copyright within the U.S.
Recommended Citation
Clay, Sharon A.; Davis, Adam; Dille, Anita; Lindquist, John; Ramirez, Analiza H. M.; Sprague, Christy; Reicks, Graig; and Forcella, Frank, "Common Sunflower Seedling Emergence across the U.S. Midwest" (2014). Agronomy, Horticulture and Plant Science Faculty Publications. 23.
https://openprairie.sdstate.edu/plant_faculty_pubs/23