Título
Genomic selection models based on integration of GWAS loci and epistatic interactions
Autor
deepmala sehgal
Suchismita Mondal
Ravi Singh
Susanne Dreisigacker
Nivel de Acceso
Acceso Abierto
Descripción
Abstracto - The potential to integrate consistent associations identified from GWAS as fixed variables in GP models to improve prediction accuracy for complex traits (for example, grain yield) has not been investigated comprehensively in wheat. Here, we untangled the genetic architecture of grain yield and yield stability by haplotypes-based GWAS and epistatic scan of the genome. We then integrated robust and stable associations (and interacting loci) as fixed effects in GP models to investigate the importance of these associations in improving prediction accuracies of the said traits. We concluded that the utility of GP incorporating GWAS results is noteworthy for GY when GWAS results identify significant and robust genomic regions.
Editor
International Maize and Wheat Improvement Center
Fecha de publicación
2020
Tipo de recurso
Dataset
Recurso de información
Repositorio Orígen
Repositorio Institucional de Datos y Software de Investigación del CIMMYT
Descargas
0