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.).

本文件收录了用于完成题为《近红外光谱法在甘蔗原料品质性状预测中优于基因组学方法》的论文相关分析的数据集，涵盖基因组数据、近红外光谱（Near-infrared spectroscopy, NIR）数据，以及两个甘蔗性状（纤维含量与蔗糖含量）的最佳线性无偏预测值（Best Linear Unbiased Prediction, BLUPs）。本研究旨在评估基因组数据与近红外光谱（NIR）数据的预测性能，并探究整合基因组与NIR预测变量是否能够提升甘蔗群体（Saccharum spp.）中这两个原料品质性状的预测精度。