Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat
Margaret Krause, Lorena González Pérez, José Luis Crossa, Paulino Pérez‐Rodríguez, Osval Antonio Montesinos-López, Ravi Prakash Singh, Susanne Dreisigacker, Jesse Poland, Jessica Elaine Rutkoski, Mark E. Sorrells, Michael A. Gore, Suchismita Mondal
This study uses hyperspectral reflectance-derived relationship matrices in genomic selection to predict grain yield in wheat, showing improved accuracy when combined with marker and pedigree data.
G3 Genes Genomes Genetics · Feb 23, 2019Peer-reviewedGenomics