Teketel A. Haile

Harnessing genome prediction in Brassica napus through a nested association mapping population

This study evaluates genome prediction accuracy in Brassica napus using nested association mapping, finding that rrBLUP and RKHS models and SNaP markers improve prediction accuracy for agronomic traits.

Development of a Nested Association Mapping (NAM) population for untangling complex traits in lentil (Lens culinaris Medik.)

This paper develops a lentil NAM population to identify loci underlying complex traits, finding 14 significant loci including novel associations near AP3a, HUB2a, and PIF6 genes.

Genetic Basis for Lentil Adaptation to Summer Cropping in Northern Temperate Environments

This study identifies QTLs for key phenological traits in lentil, providing markers for marker-assisted selection to improve adaptation to temperate environments.

Identification of anthracnose (Colletotrichum lentis) race 1 resistance loci in lentil by integrating linkage mapping and a genome-wide association study

This study identifies anthracnose resistance loci in lentil by combining QTL mapping and GWAS, revealing key genomic regions and SNPs for marker-assisted breeding.

Genomic selection for lentil breeding: empirical evidence

This study evaluates genomic selection models for lentil breeding using empirical data, finding that single-trait models perform well without large effect QTL, while models accounting for GEI and multiple traits improve accuracy for low heritability traits.