%0 Journal Article
%T Quantifying and Validating Soybean Seed Emergence Model as a Function of Temperature
%A Firas Ahmed Alsajri
%A Chathurika Wijewardana
%A L. Jason Krutz
%A J. Trenton Irby
%A Bobby Golden
%A K. Raja Reddy
%J American Journal of Plant Sciences
%P 111-124
%@ 2158-2750
%D 2019
%I Scientific Research Publishing
%R 10.4236/ajps.2019.101010
%X Developing
a model for soybean seed emergence offers a tool producers could use for
planting date options and in predicting seedling emergence. In this study,
temperature effects on soybean seed emergence were quantified, modeled, and
validated. The data for seed emergence model development was generated at
varying temperatures, 20°C/12°C, 25°C/17°C, 30°C/22°C, 35°C/27°C, and
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