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1 January 2014 Common Sunflower Seedling Emergence across the U.S. Midwest
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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 (ψ;b and ψ;c) 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 ψ;b  =  −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.

Nomenclature: Common sunflower, Helianthus annuus L.

Weed Science Society of America
SHARON A. CLAY, Adam Davis, Anita Dille, John Lindquist, Analiza H. M. Ramirez, Christy Sprague, Graig Reicks, and FRANK FORCELLA "Common Sunflower Seedling Emergence across the U.S. Midwest," Weed Science 62(1), 63-70, (1 January 2014). https://doi.org/10.1614/WS-D-13-00078.1
Received: 20 May 2013; Accepted: 1 August 2013; Published: 1 January 2014
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