Rice (Oryza sativa) provides a staple food source for more than half the world population.
However, the current pace of rice breeding in yield growth is insufficient to meet the food …

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

Fostering a culture of continuous improvement through regular monitoring of genetic trends
in breeding pipelines is essential to improve efficiency and increase accountability. This is …

In maize, doubled haploid (DH) line production capacity of large-sized maize breeding
programs often exceeds the capacity to phenotypically evaluate the complete set of testcross …

Summary Genotype‐by‐environment‐by‐management (G× E× M) interactions for crop
productivity represent both challenges and opportunities for long‐term crop improvement …

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 …

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 …

Potato is a major food crop in the United States and around the world. Most potatoes grown
in the United States are destined for processing. Genomic selection can speed up breeding …

Key message Sparse testing using genomic prediction can be efficiently used to increase
the number of testing environments while maintaining selection intensity in the early yield …

The usefulness of genomic selection (GS) for improvement of complex traits has been
demonstrated in plant and animal breeding. While fully adopted in the livestock sector and …