Article
Yield prediction through integration of genetic, environment, and management data through deep learning.
G3 (Bethesda, Md.) - 11 Apr 2023
Kick Daniel R, Wallace Jason G, Schnable James C, Kolkman Judith M, Alaca Barış, Beissinger Timothy M, Edwards Jode, Ertl David, Flint-Garcia Sherry, Gage Joseph L, Hirsch Candice N, Knoll Joseph E, de Leon Natalia, Lima Dayane C, Moreta Danilo E, Singh Maninder P, Thompson Addie, Weldekidan Teclemariam, Washburn Jacob D
Abstract excerpt
Accurate prediction of the phenotypic outcomes produced by different combinations of genotypes, environments, and management interventions remains a key goal in biology with direct applications to agriculture, research, and conservation. The past decades have seen an expansion of new methods applied toward this goal. Here we predict maize yield using deep neural networks, compare the efficacy of 2 model...
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