Dorcus Chepkesis Gemenet

The paper proposes sparse testcrossing with 3-5 testers to improve genetic gain in maize hybrid breeding by balancing simplicity, resource efficiency, and GCA prediction accuracy.

This paper shows that early-stage sparse testing strategies increase genetic gain in plant breeding by improving selection accuracy and intensity through broader TPE sampling and reduced replication.

The paper identifies genes associated with abiotic stress tolerance in sweetpotato using weighted gene co-expression network analysis and finds shared and unique transcriptional responses to heat, salt, and drought stresses.

This paper proposes reciprocal recurrent selection based on genetic complementation to enhance dominance-based heterosis in diploids, showing it is cheaper than GCA-based approaches and effective in hybrid maize.

This study compares clonal breeding strategies using stochastic simulation to determine their genetic gain per unit cost, finding that reciprocal recurrent selection (RRS) is optimal in diploids with high genomic selection intensity but not in autopolyploids.

This study identifies stable and environment-specific QTL for late blight resistance in tetraploid potato using multi-environment trials and develops prediction models for breeding programs.

This paper develops a method to assemble whole-chromosome pseudomolecules for polyploid plant genomes using genotyping-by-sequencing and reference genome data, showing improved accuracy over existing tools.

This study evaluates the impact of sequencing depth, marker number, and genetic models on genomic selection accuracy in autopolyploid crops, finding that fewer SNPs and additive models are sufficient for most traits.

This paper develops a random-effect model for QTL mapping in autopolyploid sweetpotato, identifying 41 QTL across eight yield traits in a full-sib population.

The paper develops a 36-SNP marker set for quality assurance and control in sweetpotato breeding programs, showing it can detect mislabeling errors similarly to a high-density SNP set.

This study constructs an ultra-dense genetic map for hexaploid sweetpotato and characterizes its inheritance system using a new software tool.

The paper quantifies phenotype misclassification and pedigree errors in sweetpotato breeding and shows their negative impact on QTL detection and genetic correlations.