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.