Climate change gives rise to numerous environmental stresses, including soil salinity.
Salinity/salt stress is the second biggest abiotic factor affecting agricultural productivity …

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 (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 …

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 …

Rapidly rising population and climate changes are two critical issues that require immediate
action to achieve sustainable development goals. The rising population is posing increased …

Prediction of breeding values is central to plant breeding and has been revolutionized by the
adoption of genomic selection (GS). Use of machine‐and deep‐learning algorithms applied …

To develop more productive and resilient crops that are capable of feeding 10 billion people
by 2050, we must accelerate the rate of genetic improvement in plant breeding programs …

Genomic selection is revolutionizing plant breeding and therefore methods that improve
prediction accuracy are useful. For this reason, active research is being conducted to build …

Multi-trait and multi-environment data are common in animal and plant breeding programs.
However, what is lacking are more powerful statistical models that can exploit the correlation …

Plantation‐grown trees have to cope with an increasing pressure of pest and disease in the
context of climate change, and breeding approaches using genomics may offer efficient and …