New Methods for Analyzing Existing Datasets Provide Tools for Predicting Plant Performance


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Maxwell Bernstein | May 29, 2020

A new study from Iowa State University has revealed patterns that can help predict plant performance along with providing information on plant adaptation in different environments. The significance of this study stems from the researcher’s ability to apply analysis techniques on available datasets instead of producing new data, according to a news release from Iowa State. 

The researchers at Iowa State University focused on analyzing existing data from 174 rice plants across nine different environments across Asia. The study revealed that temperatures early in growth affected the flowering time for the rice plants. Paired with genetic data, scientists were able to predict flowering times for various rice species in differing environments. 

This study can help farmers predict how other crop varieties will perform in different environments, helping growers minimize risk and gain a sense of stability. Better predictions for plant growth allow farmers to use resources more efficiently and minimize waste.  

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