Genomic and pedigree-based prediction for leaf, stem, and stripe rust resistance in wheat.

ABSTRACT:

Key message

Genomic prediction for seedling and adult plant resistance to wheat rusts was compared to prediction using few markers as fixed effects in a least-squares approach and pedigree-based prediction. The unceasing plant-pathogen arms race and ephemeral nature of some rust resistance genes have been challenging for wheat (Triticum aestivum L.) breeding programs and farmers. Hence, it is important to devise strategies for effective evaluation and exploitation of quantitative rust resistance. One promising approach that could accelerate gain from selection for rust resistance is 'genomic selection' which utilizes dense genome-wide markers to estimate the breeding values (BVs) for quantitative traits. Our objective was to compare three genomic prediction models including genomic

SUBMITTER: Juliana P 

PROVIDER: S-EPMC5487692 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature