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...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Moritz Lell, Yusheng Zhao, Jochen C. Reif
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	KeAi Communications Co., Ltd. 2024-06-01
Saila:	Crop Journal
Gaiak:	Big Data Genome-wide association study Data integration Genomic prediction Wheat
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S221451412400059X
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!