Raw data of "Enviromic-based Kernels Optimize Resource Allocation with Multi-trait Multi-environment Genomic Prediction for Tropical Maize"
Description
Datasets of "Enviromic-based Kernels Optimize Resource Allocation with Multi-trait Multi-environment Genomic Prediction for Tropical Maize" Phenotypic, Genotypic and Enviromic data from two different sources of tropical maize single-cross hybrids. Dataset 1 is from Helix Seeds/Biomatrix (HEL), 452 maize hybrids, 3 locations, RCBD with two blocks. Dataset 2 is from University of Sao Paulo (USP), 903 maize hybrids, 2 locations, 2 years, Augmented block design, 2 comercial varieties as checks Three traits were evaluated: grain yield (GY, in ton ha-1), plant height (PH, in cm), and ear height (EH, in cm). Optimized training sets (OTS) obtained with STPGA R package (Akdemir, 2017) for both datasets are available, as well as the R code used for prediction.