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Data mining brings new clarity to plant breeding, according to new Iowa State University study

By Fred Love, Iowa State University News Service

Data mining methods that draw on computer science and statistics can bring new clarity for plant scientists trying to design better crop varieties, according to newly published research from Jianming Yu, professor of agronomy and Pioneer Distinguished Chair in Maize Breeding at Iowa State. The study outlines several data management approaches that can help plant breeders predict the traits of potential hybrids faster and cheaper than growing and testing the plants.