Eric G. Dinglasan

This study identifies 40 QTL for net blotch resistance in barley using haplotype analysis, revealing shared and distinct genetic mechanisms between two disease forms.

The paper compares localGEBV and OHS fitness functions for parent selection in inbred crops using a novel R package, finding similar long-term genetic gains with dosage-based localGEBV offering simpler workflows.

This study identifies haploblocks associated with rust resistance in wheat and develops a selection index to improve breeding for durable resistance.

This study shows that mungbean genotypes significantly influence subsequent wheat yield through legacy effects, suggesting opportunities to breed for system-level productivity in sustainable farming.

This paper introduces localGEBV, a haplotype-based method that improves QTL discovery and phenotypic prediction compared to traditional GWAS approaches in barley.

This paper identifies haploblocks associated with multiple disease resistance in wheat using a diversity panel and demonstrates their potential to improve resistance through haplotype stacking.

This paper compares selection strategies for crop breeding, finding that optimal haplotype selection (OHS) maintains more genetic diversity and achieves higher long-term gains than truncation selection or optimal cross selection.

The paper introduces genomicSimulation, a fast R tool for stochastic simulation of breeding programs using real genotypes, showing it accurately reproduces key population features.

This study identifies QTL associated with canopy closure timing in durum wheat that improve yield in rainfed environments without yield penalties.