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 …

Genomic selection (GS) is one of the most powerful tools available for maize breeding. Its
use of genome-wide marker data to estimate breeding values translates to increased …

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 …

Verticillium wilt (VW), a devastating vascular wilt disease of strawberry (Fragaria× *
ananassa), has caused economic losses for nearly a century. This disease is caused by the …

Soybean brown rust (SBR), caused by Phakopsora pachyrhizi, is a devastating fungal
disease that threatens global soybean production. This study conducted a genome-wide …

A major barrier to the wider use of supervised learning in emerging applications, such as
genomic selection, is the lack of sufficient and representative labeled data to train prediction …

Key message The principal phenotypic determinants of market class in carrot—the size and
shape of the root—are under primarily additive, but also highly polygenic, genetic control …

Key message The strong genetic structure observed in Mediterranean oats affects the
predictive ability of genomic prediction as well as the performance of training set …

The total sugarcane (Saccharum L.) production has increased worldwide; however, the rate
of growth is lower compared with other major crops, mainly due to a plateauing of genetic …

Genomic selection (GS) is a disruptive methodology that is revolutionizing animal and plant
breeding. However, its practical implementation is challenging since many times there is a …