Nick S. Fradgley

OzWheat: a genome-to-phenome platform to resolve complex traits for wheat pre-breeding and research.

The paper establishes the OzWheat genome-to-phenome platform to integrate wheat genomes and phenomes, identifying candidate genes and gene-environment interactions for trait improvement.

Multi-trait ensemble genomic prediction and simulations of recurrent selection highlight importance of complex trait genetic architecture in long-term genetic gains in wheat

The paper uses multi-trait genomic prediction models and simulations to show that complex trait genetic architecture improves long-term genetic gains in wheat breeding.

ENVIROME-WIDE ASSOCIATIONS ENHANCE MULTI-YEAR GENOME-BASED PREDICTION OF HISTORICAL WHEAT BREEDING DATA

This paper enhances multi-year genomic prediction of wheat breeding data by integrating environmental associations (EPA) to improve genotype-by-environment interaction predictions.

Limited haplotype diversity underlies polygenic trait architecture across 70 years of wheat breeding

The paper analyzes haplotype diversity and genetic associations in wheat breeding lines to understand polygenic trait architecture and breeding implications.