GplusE: beyond genomic selection.

Area of Science:

• Agricultural Science
• Plant Breeding
• Genomics

Background:

• Genomic selection (GS) is a powerful tool for accelerating crop improvement.
• Traditional GS accuracy can be limited by environmental influences and genetic relationships between traits.
• High-throughput phenotyping offers a way to capture more detailed environmental and trait data.

Approach:

• The GplusE strategy integrates environmental data from high-throughput phenotyping platforms with genomic data.
• A collaborative project is developing a large reference population of elite UK wheat lines.
• This project will test GplusE methodology, reference population design, genotyping, and imputation strategies.

Key Points:

• GplusE enhances genomic prediction accuracy by leveraging genotype-by-environment interactions.
• Exploiting genetic correlations between traits and reducing environmental noise improves trait assessment.
• The project focuses on elite UK wheat lines to ensure practical application in breeding programs.

Conclusions:

• The GplusE strategy shows promise for increasing the accuracy of genomic selection in wheat.
• This research will provide crucial data to advance genomic selection in UK winter wheat breeding.
• Optimizing reference population design and genotyping strategies is key to successful implementation.