Near-infrared spectroscopy outperforms genomic selection for predicting sugarcane feedstock quality traits
Mateus Teles Vital Gonçalves, Gota Morota, Paulo Mafra de Almeida Costa, Pedro Marcus Pereira Vidigal, Márcio Henrique Pereira Barbosa, Luíz Alexandre Peternelli
This study compares genomic selection and near-infrared spectroscopy for predicting sugarcane feedstock quality traits, finding NIR outperforms genomics and their integration does not improve accuracy.
PLoS ONE · Mar 4, 2021Peer-reviewedGenomics