Jonah Gray is a senior in Agronomy and Environmental Science at Iowa State University, and this summer, he was a virtual undergraduate research intern for Kansas State University. Many students became accustomed to remote internships in this past year, Jonah being one of them. Since his internship was virtual, he could do it from Ames and still had the opportunity to build relationships with the other interns and research staff.
A recently published study led by Iowa State University scientists applied a fresh perspective to vast amounts of data on rice plants to find better ways to predict plant performance and new insights about how plants adapt to different environments.
The study, published in the academic journal Genome Research, unearthed patterns in datasets collected on rice plants across Asia, said Jianming Yu, professor of agronomy and Pioneer Distinguished Chair in Maize Breeding. Those patterns allowed the researchers to develop a matrix to help them predict the traits of rice plants depending on their genetics and the environment in which they’re grown. The research could improve the ability of farmers to predict how crop varieties will perform in various environments, giving growers a better sense of stability and minimizing risk, Yu said.