Chin Jian Yang

Mutation breeding for quantitative traits in the era of genomic selection

This study evaluates how genomic selection can capture polygenic variation from mutation breeding in wheat and tomato, showing improved predictive ability when mutations are shared among lines.

Opportunities to improve the recommendation of plant varieties under the Recommended List (RL) system

The paper evaluates current methods for predicting plant variety performance in the UK Recommended List system and suggests improving statistical models to better account for genetic relationships and environmental interactions.

Analysis of historical selection in winter wheat

The paper develops and applies RALLY, a selection mapping approach, to identify loci under historical selection in winter wheat varieties bred from 1916 to 2010.

Crafting for a better MAGIC: systematic design and test for multiparental advanced generation inter-cross population.

The paper evaluates MAGIC population designs and introduces a tool to create and test them, showing that certain designs improve haplotype diversity without requiring large crossing programs.

Overcoming barriers to the registration of new varieties

The paper evaluates the current DUS system for plant variety registration using 805 UK barley varieties and advocates for a genomics-based approach to improve efficiency and accuracy.

Origin Specific Genomic Selection: a simple process to optimize the favourable contribution of parents to progeny

This paper introduces Origin Specific Genomic Selection (OSGS) to improve the introgression of beneficial exotic alleles in crop breeding by partitioning marker effects based on allele origin.

TeoNAM: a nested association mapping population for domestication and agronomic trait analysis in maize

The paper develops a maize nested association mapping population (TeoNAM) to identify QTLs for domestication and agronomic traits, finding novel teosinte alleles and confirming a rice gene's role in maize tillering.