Genomic selection for growth characteristics in Korean red pine (Pinus densiflora Seibold & Zucc.).

ABSTRACT: Traditionally, selective breeding has been used to improve tree growth. However, traditional selection methods are time-consuming and limit annual genetic gain. Genomic selection (GS) offers an alternative to progeny testing by estimating the genotype-based breeding values of individuals based on genomic information using molecular markers. In the present study, we introduced GS to an open-pollinated breeding population of Korean red pine (Pinus densiflora), which is in high demand in South Korea, to shorten the breeding cycle. We compared the prediction accuracies of GS for growth characteristics (diameter at breast height [DBH], height, straightness, and volume) in Korean red pines under various conditions (marker set, model, and training set) and evaluated the selection efficienc

SUBMITTER: Kang HI 

PROVIDER: S-EPMC10844423 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature