In modern plant breeding, genomic selection is becoming the gold standard to select
superior genotypes in large breeding populations that are only partially phenotyped. Many …

Genomic selection (GS) is a modern breeding approach where genome-wide single-
nucleotide polymorphism (SNP) marker profiles are simultaneously used to estimate …

In modern plant breeding, genomic selection is becoming the gold standard for selection of
superior genotypes. The basis for genomic prediction models is a set of phenotyped lines …

The duplicated and the highly repetitive nature of the maize genome has historically
impeded the development of true single nucleotide polymorphism (SNP) markers in this …

Advances in sequencing technology allow whole plant genomes to be sequenced with high
quality. Combining genotypic and phenotypic data in genomic prediction helps breeders to …

Genomic selection (GS) has revolutionized breeding for quantitative traits in plants, offering
potential to optimize resource allocation in breeding programs and increase genetic gain …

Key message Complementing or replacing genetic markers with transcriptomic data and use
of reproducing kernel Hilbert space regression based on Gaussian kernels increases hybrid …

BLUP (b est l inear u nbiased p rediction) is widely used to predict complex traits in plant
and animal breeding, and increasingly in human genetics. The BLUP mathematical model …

We develop a method, SBayesRC, that integrates genome-wide association study (GWAS)
summary statistics with functional genomic annotations to improve polygenic prediction of …

High-throughput genotyping boosts genome-wide association studies (GWAS) in crop
species, leading to the identification of single-nucleotide polymorphisms (SNPs) associated …