Bruno Studer

This study compares the productivity and forage quality of perennial ryegrass cultivars and mixtures under different defoliation treatments, finding that grazing affects rankings differently than mechanical cutting.

The paper characterizes a common buckwheat germplasm collection to identify agronomic traits and candidate genes for breeding improved varieties.

The paper analyzes SI genes in grasses, finding high allelic diversity, trans-generic polymorphism, and co-evolution of recognition genes.

This paper presents a chromosome-level, haplotype-resolved genome assembly of big trefoil using CiFi, revealing two phased haplotypes and supporting gene annotation.

The paper presents a near-complete, haplotype-resolved genome assembly of common buckwheat using trio-binning and Hi-C data, providing a valuable resource for genomic research and breeding.

This study identifies four novel candidate genes for stem rust resistance in Italian ryegrass using nested association mapping and high-density genotyping.

The paper applies MSAS and GBS to assess plant genetic diversity in grassland species, showing their complementary use in monitoring PGD.

The paper presents a pangenome and pantranscriptome of hexaploid oat, describing gene expression diversity and structural genome variation across 33 accessions and six tissues.

This paper establishes the first NAM population in Italian ryegrass to identify candidate genes for seed shattering and related traits using ddRAD and whole genome sequencing.

The paper presents a chromosome-level haplotype-resolved genome assembly for Italian ryegrass, revealing gene order collinearity and sequence variation between haplotypes, and identifies QTL for stem rust resistance.

The paper examines how pea genotypes influence root microbiota composition and abundance in response to soil-borne pathogens and links these changes to root rot resistance.

This study evaluates genomic and phenomic prediction methods for apple breeding, showing that expanding training sets improves predictive ability but leave-one-family-out validation reduces it, while phenomic data are less effective.

This study shows that recurrent phenotypic selection on spaced plants reduces seed shattering in Italian ryegrass, increasing seed yield.

This study applies statistical and deep learning models to multi-environmental genomic prediction in apple, showing improved predictive ability for certain traits.

The paper presents an improved chromosome-level genome assembly for perennial ryegrass using Hi-C data to correct structural errors in a previous assembly.

This study uses bulked segregant analysis with whole-genome sequencing to identify a 300 kb region associated with bacterial wilt resistance in Italian ryegrass, revealing candidate resistance genes.

ChromaX simulates genetic recombination and breeding value calculations using GPU acceleration, offering faster performance than existing tools.

This study examines the genetic architecture and genomic prediction accuracy of 30 apple quantitative traits across six European locations, identifying novel associations and demonstrating the impact of genotype by environment interactions.

GBSmode is a pipeline for analyzing GBS data that improves accuracy by incorporating biological features, reducing genotyping errors compared to SAMtools.

The paper presents a high-quality diploid genome assembly of Italian ryegrass, revealing extensive intergenic sequence variation due to its high heterozygosity.

This study de novo assembles a diploid and heterozygous genome of the apple cultivar 'Gala Galaxy' using long- and short-read sequencing and optical mapping, providing a high-quality reference genome for apple breeding.

This study identifies genetic loci associated with stomatal density in winter wheat, providing targets for improving water use efficiency through marker-assisted selection.