Factors affecting the accuracy of genomic selection for growth and wood quality traits in an advanced-breeding population of black spruce (Picea mariana)

Factors affecting the accuracy of genomic selection for growth and wood quality traits in an advanced-breeding population of black spruce (Picea mariana)

Abstract Background 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 conife...

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Bibliographic Details
Main Authors: Patrick R.N. Lenz, Jean Beaulieu, Shawn D. Mansfield, Sébastien Clément, Mireille Desponts, Jean Bousquet
Format: Article
Language:English
Published: BMC 2017-04-01
Series:BMC Genomics
Subjects:
Genomic selection
Black spruce
Wood properties
Tree improvement and breeding
Genomic-estimated breeding values
Gene SNPs
Online Access:http://link.springer.com/article/10.1186/s12864-017-3715-5

Internet

http://link.springer.com/article/10.1186/s12864-017-3715-5

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