TY - JOUR AU - Lenz, Patrick R.N. AU - Beaulieu, Jean AU - Mansfield, Shawn D. AU - Clément, Sébastien AU - Desponts, Mireille AU - Bousquet, Jean PY - 2017 DA - 2017/04/28 TI - Factors affecting the accuracy of genomic selection for growth and wood quality traits in an advanced-breeding population of black spruce (Picea mariana) JO - BMC Genomics SP - 335 VL - 18 IS - 1 AB - Genomic selection (GS) uses information from genomic signatures consisting of thousands of genetic markers to predict complex traits. As such, GS represents a promising approach to accelerate tree breeding, which is especially relevant for the genetic improvement of boreal conifers characterized by long breeding cycles. In the present study, we tested GS in an advanced-breeding population of the boreal black spruce (Picea mariana [Mill.] BSP) for growth and wood quality traits, and concurrently examined factors affecting GS model accuracy. SN - 1471-2164 UR - https://doi.org/10.1186/s12864-017-3715-5 DO - 10.1186/s12864-017-3715-5 ID - Lenz2017 ER -