Adoption and Optimization of Genomic Selection To Sustain Breeding for Apricot Fruit Quality.

ABSTRACT: Genomic selection (GS) is a breeding approach which exploits genome-wide information and whose unprecedented success has shaped several animal and plant breeding schemes through delivering their genetic progress. This is the first study assessing the potential of GS in apricot (Prunus armeniaca) to enhance postharvest fruit quality attributes. Genomic predictions were based on a F1 pseudo-testcross population, comprising 153 individuals with contrasting fruit quality traits. They were phenotyped for physical and biochemical fruit metrics in contrasting climatic conditions over two years. Prediction accuracy (PA) varied from 0.31 for glucose content with the Bayesian LASSO (BL) to 0.78 for ethylene production with RR-BLUP, which yielded the most accurate predictions in comparison to

SUBMITTER: Nsibi M 

PROVIDER: S-EPMC7718743 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature