Po‐Ya Wu

Assessment of segregation variance estimates from derivation, simulations, and empirical data in autotetraploid species exemplified in potato

The paper derives algebraic methods to predict segregation variance in autotetraploid species, compares them with simulations and empirical data, and finds they correlate well with simulations but not with empirical data due to small family sizes.

Investigating the barley methylome, its variation and association with genomic, transcriptomic, and phenotypic variation

This study investigates the barley methylome, identifies differentially methylated regions, and shows their association with gene expression and phenotypic traits, improving genomic prediction models.

Genetic architecture and cellular basis of flag leaf size variation in barley

This study identifies genetic loci and cellular mechanisms underlying flag leaf size variation in barley using a multi-parent population and fine mapping.

Optimal implementation of genomic selection in clone breeding programs - exemplified in potato: II. Effect of selection strategy and cross-selection method on long-term genetic gain

This study evaluates cross-selection methods with genomic selection in potato breeding to improve long-term genetic gain while maintaining diversity.

Genetic mapping reveals new loci and alleles for flowering time and plant height using the double round-robin population of barley

Optimal implementation of genomic selection in clone breeding programs - exemplified in potato: I. Effect of selection strategy, implementation stage, and selection intensity on short-term genetic gain

This study evaluates how genomic selection (GS) can improve genetic gain in clone breeding programs, showing that GS strategies outperform phenotypic selection and recommend specific implementation stages for potato breeding.

Structural variants in the barley gene pool: precision and sensitivity to detect them using short-read sequencing and their association with gene expression and phenotypic variation

This study benchmarks SV callers for sensitivity and precision in barley genomes, finds associations between SV clusters and gene expression, and shows their superior predictive power for phenotypes compared to SNPs.

A Statistical Framework for QTL Hotspot Detection

The paper introduces a statistical framework for detecting QTL hotspots that handles both individual-level and summarized data, addresses correlation structure and computational cost, and improves hotspot identification.