Single-step genomic prediction of fruit-quality traits using phenotypic records of non-genotyped relatives in citrus.

ABSTRACT: The potential of genomic selection (GS) is currently being evaluated for fruit breeding. GS models are usually constructed based on information from both the genotype and phenotype of population. However, information from phenotyped but non-genotyped relatives can also be used to construct GS models, and this additional information can improve their accuracy. In the present study, we evaluated the utility of single-step genomic best linear unbiased prediction (ssGBLUP) in citrus breeding, which is a genomic prediction method that combines the kinship information from genotyped and non-genotyped relatives into a single relationship matrix for a mixed model to apply GS. Fruit weight, sugar content, and acid content of 1,935 citrus individuals, of which 483 had genotype data of 2,354 genome-w

SUBMITTER: Imai A 

PROVIDER: S-EPMC6715226 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature