Leveraging the potential of big genomic and phenotypic data for genome-wide association mapping in wheat

Genome-wide association mapping studies (GWAS) based on Big Data are a potential approach to improve marker-assisted selection in plant breeding. The number of available phenotypic and genomic data sets in which medium-sized populations of several hundred individuals have been studied is rapidly inc...

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Detalhes bibliográficos

Principais autores:	Moritz Lell, Yusheng Zhao, Jochen C. Reif
Formato:	Artigo
Idioma:	Inglês
Publicado em:	KeAi Communications Co., Ltd. 2024-06-01
coleção:	Crop Journal
Assuntos:	Big Data Genome-wide association study Data integration Genomic prediction Wheat
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S221451412400059X
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