The first paradigm of plant breeding involves direct selection-based phenotypic observation,
followed by predictive breeding using statistical models for quantitative traits constructed …

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

Agriculture and climate change are internally correlated with each other in various aspects,
as climate change is the main cause of biotic and abiotic stresses, which have adverse …

Genomic selection (GS) facilitates the rapid selection of superior genotypes and accelerates
the breeding cycle. In this review, we discuss the history, principles, and basis of GS and …

Some of the biological knowledge obtained from fundamental research will be implemented
in applied plant breeding. To bridge basic research and breeding practice, machine learning …

Continued increases in genetic gain demonstrate the success of established public and
private plant breeding programs. Nevertheless, in the last two decades, a growing body of …

Technological developments have revolutionized measurements on plant genotypes and
phenotypes, leading to routine production of large, complex data sets. This has led to …

Genomic selection (GS) is a promising approach exploiting molecular genetic markers to
design novel breeding programs and to develop new markers-based models for genetic …

The development of germplasm adapted to changing climate is required to ensure food
security,. Genomic prediction is a powerful tool to evaluate many genotypes but performs …

Breeding climate-resilient crops with improved levels of abiotic and biotic stress resistance
as a response to climate change presents both opportunities and challenges. Applying the …