The accuracy of different strategies for building training sets for genomic predictions in segregating soybean populations

The design of the training set is a key factor in the success of the genomic selection approach. The nature of line inclusion in soybean [ Sorghum bicolor (L.) Moench.] breeding programs is highly dynamic, so generating a training set that endures across the years and regions is challenging. Therefore, we aimed to define the best strategies for building training sets to apply genomic selection in segregating soybean populations for traits with...