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The opportunity presented by the need for a dry formulation for field testing an experimental herbicide was used to evaluate the utility of statistical experimental design in the development of such formulations. This method has the potential to significantly reduce the number of experimental formulations required to discover the best composition. The wetting time, settling, and redispersion were used to evaluate the formulations.
A number of different statistical models were tested and the results compared. It was found that while a complete cubic model gave the most accurate predictions a quadratic model was adequate for most purposes. It was found that the ability to accurately and reproducibly measure the effect of composition on formulation performance is the limiting factor in the utility of this method. The need for better test methods for dry formulations was evident.
Experimental Design, Formulations, Statistics, Wettable Powder, Mixture Model
Senior Research Specialist, Monsanto Agricultural Group, St. Louis, MO