ISU Researchers Develop Model to Improve Agricultural Prediction Accuracy

(Ames, IA) -- Researchers at Iowa State University are developing a model to improve the accuracy of agricultural predictions.

The new model factors in genomic analysis and early-season weather data to predict things such as plant height and flowering time. Using the model, the research team led by Dr. Jianming Yu was able to predict the flowering time of sorghum plants with up to 74% accuracy and the plant height with up to 96% accuracy. Yu says the model could eventually be used to make further predictions on things like crop yields and will be helpful for both farmers and plant breeders.

More information on the model and the research is available on Iowa State University's website.