The potential to add significant value to the rapid advances in plant breeding technologies
associated with statistical whole-genome prediction methods is a new frontier for crop …

Genetics, biochemistry, and crop modelling are independently evolving disciplines;
however, they complement each other in addressing some of the important challenges that …

Progress in breeding higher-yielding crop plants would be greatly accelerated if the
phenotypic consequences of making changes to the genetic makeup of an organism could …

Genomic selection, enabled by whole genome prediction (WGP) methods, is revolutionizing
plant breeding. Existing WGP methods have been shown to deliver accurate predictions in …

New types of phenotyping tools generate large amounts of data on many aspects of plant
physiology and morphology with high spatial and temporal resolution. These new …

Progress in crop improvement is limited by the ability to identify favourable combinations of
genotypes (G) and management practices (M) in relevant target environments (E) given the …

Highlights•High throughput phenotyping with genomic association.•Rapidly identifies
candidate genes.•Enables separation of pleiotropy and linkage to overcome …

In silico plant modelling is the use of dynamic crop simulation models to evaluate
hypothetical plant traits (phenology, processes and plant architecture) that will enhance crop …

A successful strategy for prediction of crop yield that accounts for the effects of genotype,
environment and their interactions with management will create many opportunities for …

Crop growth models dynamically simulate processes of C, N and water balance on daily or
hourly time‐steps to predict crop growth and development and at season‐end, final yield …