Soybean Phenology Prediction Tool for the US Midsouth

Abstract

Eco-physiology models can predict soybean [Glycine max (L.) Merrill] development by describing daily development as a function of temperature, photoperiod, and cultivar sensitivity to these environmental conditions. However, these models require calibration with field data and a skilled user, limiting their agronomic application and adoption. We developed an interactive forecasting tool (SoyStage) using algorithms and previously calibrated coefficients from DSSAT-CROPGRO-Soybean. SoyStage predicts dates of first flower, beginning seed fill, and physiological maturity for emergence dates ranging from 14 March to 27 June in 7-d intervals, maturity groups (MGs) 3.2 to 6.7 in one-half MG increments, and 2776 locations across the US Midsouth based on weather data from 1981 to 2016. Predictions from SoyStage agreed well with field observed phenological stages monitored at 27 site-years (RMSE