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

• Published in: Scientific reports Vol. 10; no. 1; pp. 17480 - 10
• Main Authors: Yamashita, Hiroto, Uchida, Tomoki, Tanaka, Yasuno, Katai, Hideyuki, Nagano, Atsushi J., Morita, Akio, Ikka, Takashi
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 15.10.2020; Nature Portfolio
• Subjects: 631/114; 631/208; 631/449; 631/61; Camellia sinensis - genetics; Catechin - analogs & derivatives; Catechin - chemistry; Computational Biology; Genetic Association Studies; Genome, Plant; Genomics; Genotype; Humanities and Social Sciences; Linkage Disequilibrium; multidisciplinary; Phenotype; Plant Breeding; Polymorphism, Single Nucleotide; Science; Science (multidisciplinary); Sequence Analysis, DNA

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 association...