TY - JOUR AU - Jarquín, Diego AU - Kocak, Kyle AU - Posadas, Luis AU - Hyma, Katie AU - Jedlicka, Joseph AU - Graef, George AU - Lorenz, Aaron PY - 2014 DA - 2014/08/29 TI - Genotyping by sequencing for genomic prediction in a soybean breeding population JO - BMC Genomics SP - 740 VL - 15 IS - 1 AB - Advances in genotyping technology, such as genotyping by sequencing (GBS), are making genomic prediction more attractive to reduce breeding cycle times and costs associated with phenotyping. Genomic prediction and selection has been studied in several crop species, but no reports exist in soybean. The objectives of this study were (i) evaluate prospects for genomic selection using GBS in a typical soybean breeding program and (ii) evaluate the effect of GBS marker selection and imputation on genomic prediction accuracy. To achieve these objectives, a set of soybean lines sampled from the University of Nebraska Soybean Breeding Program were genotyped using GBS and evaluated for yield and other agronomic traits at multiple Nebraska locations. SN - 1471-2164 UR - https://doi.org/10.1186/1471-2164-15-740 DO - 10.1186/1471-2164-15-740 ID - Jarquín2014 ER -