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

Genome‐wide association studies (GWAS) have developed into a powerful and ubiquitous
tool for the investigation of complex traits. In large part, this was fueled by advances in …

Crop improvements can help us to meet the challenge of feeding a population of 10 billion,
but can we breed better varieties fast enough? Technologies such as genotyping, marker …

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 …

Although hybrid crop varieties are among the most popular agricultural innovations, the
rationale for hybrid crop breeding is sometimes misunderstood. Hybrid breeding is slower …

Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement
in plants. Traditional methods typically use linear regression models with clear assumptions; …

Since the inception of the theory and conceptual framework of genomic selection (GS),
extensive research has been done on evaluating its efficiency for utilization in crop …

Key message Genomic prediction based on additive genetic effects can accelerate genetic
gain. There are opportunities for further improvement by including non-additive effects that …

Genebanks have the long-term mission of preserving plant genetic resources as an
agricultural legacy for future crop improvement. Operating procedures for seed storage and …

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 …