Tobias Kox
YOU?
Author Swipe
View article: Machine learning and multi-omic analysis reveal contrasting recombination landscape of A and C subgenomes of winter oilseed rape
Machine learning and multi-omic analysis reveal contrasting recombination landscape of A and C subgenomes of winter oilseed rape Open
Meiotic recombination is essential for generating genetic diversity, driving plant evolution, and enabling crop improvement, yet its uneven distribution across genomes constrains breeding efforts. Here, we investigated the multi-omic landm…
View article: Graphical pangenomics-enabled characterization of structural variant impact on gene expression in Brassica napus
Graphical pangenomics-enabled characterization of structural variant impact on gene expression in Brassica napus Open
Key message Pangenome graphs enable population-scale genotyping and improve expression analysis, revealing that structural variations (SVs), particularly transposable elements (TEs), significantly contribute to gene expression variation in…
View article: Single-cross prediction with imputed multiomic data: a case study in rapeseed
Single-cross prediction with imputed multiomic data: a case study in rapeseed Open
Advancements in sequencing technologies enabled the assembly and characterization of plant genomes with high resolution. In breeding programs, these data are combined with phenotypic information in genomic prediction to select genotypes ba…
View article: haploMAGIC: accurate phasing and detection of recombination in multiparental populations despite genotyping errors
haploMAGIC: accurate phasing and detection of recombination in multiparental populations despite genotyping errors Open
Recombination is a key mechanism in breeding for promoting genetic variability. Multiparental populations (MPPs) constitute an excellent platform for precise genotype phasing, identification of genome-wide crossovers (COs), estimation of r…
View article: Genomic prediction in <i>Brassica napus</i>: evaluating the benefit of imputed whole-genome sequencing data
Genomic prediction in <i>Brassica napus</i>: evaluating the benefit of imputed whole-genome sequencing data Open
Advances in sequencing technology allow whole plant genomes to be sequenced with high quality. Combining genotypic and phenotypic data in genomic prediction helps breeders to select crossing partners in partially phenotyped populations. In…
View article: Graphical pangenomics-enabled characterisation of structural variant impact on gene expression in Brassica napus
Graphical pangenomics-enabled characterisation of structural variant impact on gene expression in Brassica napus Open
Structural variants (SVs, eg. insertions and deletions) are genomic variations > 50 bp that are known to be associated with a range of crop traits, from yield to flowering behaviour and stress responses. Recently, pangenome graphs have eme…
View article: Simulation-based establishment of base pools for a hybrid breeding program in winter rapeseed
Simulation-based establishment of base pools for a hybrid breeding program in winter rapeseed Open
View article: Stacked ensembles on basis of parentage information can predict hybrid performance with an accuracy comparable to marker-based GBLUP
Stacked ensembles on basis of parentage information can predict hybrid performance with an accuracy comparable to marker-based GBLUP Open
Testcross factorials in newly established hybrid breeding programs are often highly unbalanced, incomplete, and characterized by predominance of special combining ability (SCA) over general combining ability (GCA). This results in a low ef…
View article: How Population Structure Impacts Genomic Selection Accuracy in Cross-Validation: Implications for Practical Breeding
How Population Structure Impacts Genomic Selection Accuracy in Cross-Validation: Implications for Practical Breeding Open
Over the last two decades, the application of genomic selection has been extensively studied in various crop species, and it has become a common practice to report prediction accuracies using cross validation. However, genomic prediction a…