Hannah M. Robinson

Genomic and Epigenomic Relationships Capture Different Patterns of Genotype-by-Environment Interaction in Grapevine Clones

This study compares how genomic and epigenomic relationships contribute to genotype-by-environment interaction in grapevine clones, finding that epigenomic factors capture more GEI variance than genomic factors.

High-throughput sequencing of unmethylated DNA (UMR-seq) reveals extensive epigenetic variation in the hypomethylome of diverse plant species

UMR-seq reveals epigenetic variation in plant hypomethylomes, showing UMRs are enriched in regulatory loci and improve genomic prediction and trait association mapping in wheat.

Leveraging synthetic environmental covariates to explore crop genotype by environment interactions

The paper introduces a method to analyze genotype by environment interactions by examining environmental effects across growth stages, finding that early grain fill stages have the greatest impact on yield variance.

Comparison of localGEBV and Optimal Haplotype Stacking Fitness Functions using a Novel R Package: HapSelect

The paper compares localGEBV and OHS fitness functions for parent selection in inbred crops using a novel R package, finding similar long-term genetic gains with dosage-based localGEBV offering simpler workflows.

Leaf and cluster spectral signatures reveal trait-dependent prediction performance for grapevine cluster architecture and juice quality

This study evaluates how hyperspectral reflectance from different grapevine organs predicts cluster architecture and juice quality traits, finding that cluster reflectance outperforms leaf reflectance for most traits.

A dual genomic-epigenomic map of clonal evolution in grapevine

This paper maps clonal genetic and epigenetic variation in grapevine using a phased diploid genome and Oxford Nanopore sequencing, showing that CG methylation patterns accurately reconstruct clonal phylogeny.

The PIN2 ortholog in barley modifies root gravitropism and architecture without impacting the shoot

This study shows that knocking out PIN2 in barley alters root gravitropism and architecture without affecting shoot growth.

Phenotyping the hidden half: Combining UAV phenotyping and machine learning to predict barley root traits in the field

This paper uses UAV phenotyping and machine learning to predict barley root traits in the field, identifying genetic drivers of root gravitropism.

Novel design of imputation-enabled SNP arrays for breeding and research applications supporting multi-species hybridisation

The paper introduces a novel SNP array design for multi-species hybridisation in breeding and research, demonstrating its utility in wheat and barley with high-resolution data and imputation capabilities.