Genomic predictions and genome-wide association studies based on RAD-seq of quality-related metabolites for the genomics-assisted breeding of tea plants

Abstract Effectively using genomic information greatly accelerates conventional breeding and applying it to long-lived crops promotes the conversion to genomic breeding. Because tea plants are bred using conventional methods, we evaluated the potential of genomic predictions (GPs) and genome-wide as...

Full description

Bibliographic Details
Main Authors: Hiroto Yamashita, Tomoki Uchida, Yasuno Tanaka, Hideyuki Katai, Atsushi J. Nagano, Akio Morita, Takashi Ikka
Format: Article
Language:English
Published: Nature Portfolio 2020-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-74623-7