Certain agronomic crop traits are complex and thus governed by many small‐effect loci.
Statistical models typically used in a genome‐wide association study (GWAS) and genomic …

Many important traits in plant breeding are polygenic and therefore recalcitrant to traditional
marker‐assisted selection. Genomic selection addresses this complexity by including all …

Incorporating secondary correlated traits collected from high-throughput phenotyping in
genomic selection (GS) models for complex traits has been demonstrated to improve …

To address the multiple challenges to food security posed by global climate change,
population growth and rising incomes, plant breeders are developing new crop varieties that …

Genomic-enabled prediction is becoming increasingly important in animal and plant
breeding and is also receiving attention in human genetics. Deriving accurate predictions of …

Using different populations in genomic selection raises the possibility of marker effects
varying across populations. However, common models for genomic selection only account …

Genomic selection (GS) as a promising molecular breeding strategy has been widely
implemented and evaluated for plant breeding, because it has remarkable superiority in …

Background Genomic selection is a powerful tool in plant breeding. By building a prediction
model using a training set with markers and phenotypes, genomic estimated breeding …

Recent advances in molecular genetics techniques have made dense marker maps
available, and the prediction of breeding value at the genome level has been employed in …

Genome-wide association study (GWAS) and genomic prediction (GP) are extensively
employed to accelerate genetic gain and identify QTL in plant breeding. In this study, 1,317 …