Genomic selection, the application of genomic prediction (GP) models to select candidate
individuals, has significantly advanced in the past two decades, effectively accelerating …

Sugarcane is a C4 and agro-industry-based crop with a high potential for biomass
production. It serves as raw material for the production of sugar, ethanol, and electricity …

Abstract Key message Maximizing CDmean and Avg_GRM_self were the best criteria for
training set optimization. A training set size of 50–55%(targeted) or 65–85%(untargeted) is …

Genomic selection (GS) is becoming an essential tool in breeding programs due to its role in
increasing genetic gain per unit time. The design of the training set (TRS) in GS is one of the …

The development of perennial grain crops is driven by the vision of simultaneous food
production and enhanced ecosystem services. Typically, perennial crops like intermediate …

The efficiency of genomic selection strongly depends on the prediction accuracy of the
genetic merit of candidates. Numerous papers have shown that the composition of the …

Background Biologically annotated neural networks (BANNs) are feedforward Bayesian
neural network models that utilize partially connected architectures based on SNP-set …

Key message We validated the efficiency of genomic predictions calibrated on sparse
factorial training sets to predict the next generation of hybrids and tested different strategies …

Genomic selection (GS) has become an increasingly popular tool in plant breeding
programs, propelled by declining genotyping costs, an increase in computational power …

Maize is the fastest-growing cereal in the world and serves as the most significant
component of the global coarse grain trade. Interestingly, in addition to being a prime …