Sugarcane breeding population dataset from the Sugarcane Genetic Breeding Program (PMGCA) of the Universidade Federal de Viçosa (UFV).

This file contains the datasets of genomic, NIR spectra and BLUPs of two sugarcane traits (fiber and sucrose content) used to run the analyses performed in the article entitled "Near-infrared spectroscopy outperforms genomics for predicting sugarcane feedstock quality traits". In this study we aimed to evaluate the prediction performance of genomic and near-infrared spectroscopy (NIR) data and whether the integration of genomic and NIR predictor variables can increase the prediction accuracy of two feedstock quality traits (fiber and sucrose content) in a sugarcane population (Saccharum spp.).