Mon - February 26, 2018
We used newer statistical methods to develop a model that predicts the probability of apothecia of S. sclerotiorum
being present in soybean fields during the R1-R3 flowering period. The model uses site-specific, remotely-accessible weather data, and other variables such as crop development stage and canopy closure. In the 2016 and 2017 growing seasons, we found that the model predicted the presence of apothecia with 80% accuracy.
A smart-phone application is currently being developed that utilizes this model for farmers’ use.