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Leveraging breeding programs and genomic data in Norway spruce (Picea abies L. Karst) for GWAS analysis.

Zhi-Qiang ChenYanjun ZanPascal MilesiLinghua ZhouJun ChenLili LiBinBin CuiShihui NiuJohan WestinBo KarlssonMaria Rosario García-GilMartin LascouxHarry X Wu
Published in: Genome biology (2021)
Several important QTLs associated with growth and frost damage have been verified in several southern and northern progeny plantations, indicating that these loci can be used in QTL-assisted genomic selection. Our study also demonstrates that existing heterogeneous phenotypic data from breeding programs, collected over several decades, is an important source for GWAS and that such integration into GWAS should be a major area of inquiry in the future.
Keyphrases
  • electronic health record
  • genome wide association study
  • public health
  • big data
  • copy number
  • oxidative stress
  • genome wide
  • current status
  • gene expression
  • artificial intelligence