Training Set Optimization in Genomic Selection for Multi-environment Trials

The original data of the datasets from the master's thesis: "Training Set Optimization in Genomic Selection for Multi-environment Trials".The original data could be retrieved from:Tropical Rice dataset:Spindel, J., Begum, H., Akdemir, D., Virk, P., Collard, B., Redona, E., Atlin, G., Jannink, J. L., & McCouch, S. R. (2015). Genomic selection and association mapping in rice (Oryza sativa): effect of trait genetic architecture, training population composition, marker number and statistical model on accuracy of rice genomic selection in elite, tropical rice breeding lines. PLoS Genet, 11(2), e1004982.Barley dataset:Oakey, H., Cullis, B., Thompson, R., Comadran, J., Halpin, C., & Waugh, R. (2016). Genomic Selection in Multi-environment Crop Trials. G3 (Bethesda), 6(5), 1313-1326.DST2 Maize dataset:Jarquín, D., Howard, R., Crossa, J., Beyene, Y., Gowda, M., Martini, J. W. R., Covarrubias Pazaran, G., Burgueno, J., Pacheco, A., Grondona, M., Wimmer, V., & Prasanna, B. M. (2020). Genomic Prediction Enhanced Sparse Testing for Multi-environment Trials. G3 (Bethesda), 10(8), 2725-2739.